Research Area "Neurocybernetics"

 
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Doctorate Programme
Institute of Cognitive Science
University of Osnabrück

Publications

by category -- by year -- as .bib

Please also check the Publication page at the Fraunhofer Institute IAIS

All Publications as BIBTEX

@INCOLLECTION{toutounjipasemann2014, title = {Autonomous Learning Needs a Second Environmental Feedback Loop}, author = {Toutounji, Hazem and Pasemann, Frank}, booktitle = {K., Dourado, A., Rosa, A., Filipe, J. (Eds.), Computational Intelligence, IJCCI 2013, Revised Selected papers}, year = {2014}, publisher = {Springer, to appear}, pubtype = {conference} }
@ARTICLE{toutounji2014,
  author = {Toutounji, Hazem  and  Pasemann, Frank},
  title = {Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons},
  journal = {Frontiers in Neurorobotics},
  volume = {8},
  year = {2014},
  number = {19},
  url = {http://www.frontiersin.org/neurorobotics/10.3389/fnbot.2014.00019/abstract},
  doi = {10.3389/fnbot.2014.00019},
  issn = {1662-5218},
  abstract = {The behavior and skills of living systems depend on the distributed control provided by specialized and highly recurrent neural networks. Learning and memory in these systems is mediated by a set of adaptation mechanisms, known collectively as neuronal plasticity. Translating principles of recurrent neural control and plasticity to artificial agents has seen major strides, but is usually hampered by the complex interactions between the agent's body and its environment. One of the important standing issues is for the agent to support multiple stable states of behavior, so that its behavioral repertoire matches the requirements imposed by these interactions. The agent also must have the capacity to switch between these states in time scales that are comparable to those by which sensory stimulation varies. Achieving this requires a mechanism of short-term memory that allows the neurocontroller to keep track of the recent history of its input, which finds its biological counterpart in short-term synaptic plasticity. This issue is approached here by deriving synaptic dynamics in recurrent neural networks. Neurons are introduced as self-regulating units with a rich repertoire of dynamics. They exhibit homeostatic properties for certain parameter domains, which result in a set of stable states and the required short-term memory. They can also operate as oscillators, which allow them to surpass the level of activity imposed by their homeostatic operation conditions. Neural systems endowed with the derived synaptic dynamics can be utilized for the neural behavior control of autonomous mobile agents. The resulting behavior depends also on the underlying network structure, which is either engineered, or developed by evolutionary techniques. The effectiveness of these self-regulating units is demonstrated by controlling locomotion of a hexapod with eighteen degrees of freedom, and obstacle-avoidance of a wheel-driven robot.},
  pubtype = {other}
}
@INPROCEEDINGS{rempis2013mod2,
  author = {Rempis, Christian W. and Toutounji, Hazem and Pasemann, Frank},
  title = {Evaluating Neuromodulator-Controlled Stochastic Plasticity for Learning Recurrent Neural Control Networks},
  year = {2013},
  booktitle = {Proceedings of the 5th International Joint Conference on Computational Intelligence},
  pages = {489--496},
  doi = {10.5220/0004554504890496},
  pubtype = {other}
}
@TECHREPORT{rempis2013a,
  author = {Christian W. Rempis and Manfred Hild and Frank Pasemann},
  title = {Enhancing the Neuro-Controller Design Process for the Myon 
Humanoid Robot},
  institution = {Technical Report, University of Osnabr{\"u}ck, 
Germany, urn:nbn:de:gbv:700-2013071711000},
  year = {2013},
  type = {Technical Report},
  month = {June},
  file = {:./papers/rempis2013.pdf:PDF},
  howpublished = {Electronic Publication, University of Osnabr{\"u}ck.},
  url = {http://repositorium.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2013071711000},
  pdf-web = {http://repositorium.uni-osnabrueck.de/bitstream/urn:nbn:de:gbv:700-2013071711000/1/rempis2013.pdf},
  pubtype = {other}
}
@INCOLLECTION{rempis2013,
  author = {Christian W. Rempis},
  title = {A Neural Network to Capture Demonstrated Motions on a Humanoid Robot to Rapidly Create Complex Central Pattern Generators As Reusable Neural Building Blocks},
  booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA 2013)},
  pages = {},
  year = {2013},
  publisher = {IEEE},
  abstract = {Many neurorobotics experiments require central pattern generators (CPGs) and motion primitives for the target robot, which have to be given prior to an experiment as neural building blocks. The creation of artificial neural networks that produce the desired motions is a tedious and time-consuming task. Furthermore, rapidly varying motion pattern to test alternative motions is difficult due to the rigid nature of the usually hard-wired networks. To overcome this problem, we introduce a novel network architecture that allows to capture motions directly from demonstrated movements on the robot hardware. The demonstrated motion pattern are stored in the activation dynamics of the network, instead of as synaptic weights. This allows the rapid creation and modification of neural CPGs for various, even complex motions directly on the robot. With a simple adaptation method, the activation dynamics representing the captured motions can also be used to determine synaptic weights to create fixed, reusable neural building blocks. To demonstrate the applicability of the proposed neural network architecture we generate two arm motions for a humanoid robot by demonstration. The successful applications show that the neural motion capturing approach is a useful method to generate CPGs for neurorobotics experiments.},
  pubtype = {conference}
}
@MISC{Rempis2013Modulator,
  author = {Christian Rempis and Hazem Toutounji and Frank Pasemann},
  title = {Controlling the Learning of Behaviors in the Sensorimotor Loop with
	Neuromodulators in Self-Monitoring Neural Networks},
  year = {2013},
  abstract = {Using neuronal plasticity in the sensorimotor loop of embodied controllers
	to autonomously learn behaviors remains a great challenge. The difficulty
	lies not only in the development of sophisticated plasticity mechanisms,
	but also in controlling when, where and how to learn, in order to
	achieve the correct behavior. Borrowing from biology, we develop
	a general framework that deploys intrinsic biofeedback-like signals
	to assess the behavior through self-monitoring and to control learning
	accordingly. The framework augments a plastic control network (CSN)
	with a static neuromodulator (NM) subnetwork (MSN), containing cells
	capable of producing NM as feedback signal in response to observed
	network activations. A desired behavior can then be defined solely
	by specifying the conditions for NM release. As a response to NM
	exposure, the CSN changes until a new stable configuration without
	NM release is reached, i.e. the desired behavior is performed. We
	demonstrate this approach with experiments in which simple behaviors
	are learned from scratch. We show how the behaviors can be defined
	with MSNs and that - in combination with a simple stochastic plasticity
	method - behaviors are successfully learned.},
  howpublished = {ICRA Workshop on Autonomous Learning},
  pubtype = {conference},
  pdf-web = {http://autonomous-learning.org/wp-content/uploads/13-ALW/paper_9.pdf}
}
@INCOLLECTION{pasemann2013self,
  title = {Self-regulating Neurons in the Sensorimotor Loop},
  author = {Pasemann, Frank},
  booktitle = {Advances in Computational Intelligence,LNCS,79},
  pages = {481--491},
  year = {2013},
  publisher = {Springer},
  pubtype = {conference}
}
@MASTERSTHESIS{behr2013,
  author = {Josef Behr},
  title = {Analysis of the Neural Dynamics of Evolved Walking Behaviors},
  school = {University of Osnabr\"uck},
  year = {2013},
  type = {{B}achelor's Thesis},
  month = {January},
  pubtype = {thesis}
}
@MASTERSTHESIS{marquardt2013,
  author = {Johanna Marquardt},
  title = {Aspects of Classical Conditioning in the Sensorimotor Loop},
  school = {University of Osnabr\"uck},
  year = {2013},
  type = {{B}achelor's Thesis},
  month = {May},
  pubtype = {thesis}
}
@MASTERSTHESIS{benner2008,
  author = {Philipp Benner},
  title = {Phase Relations of Coupled Oscillatory Neural Networks and Applications
	in Walking Machines},
  school = {University of Osnabr\"uck},
  year = {2008},
  type = {{B}achelor's Thesis},
  month = {June},
  pubtype = {thesis},
  timestamp = {2011.05.11}
}
@INPROCEEDINGS{breithaupt_etal,
  author = {R. Breithaupt and J. Dahnke and K. Zahedi and J. Hertzberg and F.
	Pasemann},
  title = {Robo-Salamander: an approach for the benefit of both robotics and
	biology},
  booktitle = {5th International Conference on Climbing and Walking Robots},
  year = {2002},
  editor = {Philippe Bedaud},
  pages = {55 - 62},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2002-3.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@MASTERSTHESIS{Chakraborty2008,
  author = {Arpita Chakraborty},
  title = {Neuro-Controllers for Single Leg Using Torque Driven Motor System},
  school = {University of Applied Sciences Bonn-Rhein-Sieg},
  year = {2007},
  month = {December},
  pubtype = {thesis},
  timestamp = {2011.05.11}
}
@INPROCEEDINGS{der99,
  author = {Der, R. and Steinmetz, U. and Pasemann, F.},
  title = {Homeokinesis - A new principle to back up evolution with learning},
  booktitle = {Computational Intelligence for Modelling, Control, and Automation,
	Concurrent Systems Engineering Series Vol. 55, Proceedings, CIMCA'
	99, Vienna, February 17-19, 1999},
  year = {1999},
  editor = {Mohammadian, M.},
  pages = {43--47},
  publisher = {IOS Press},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1999-2.pdf},
  pubtype = {conference},
  timestamp = {2009.05.08}
}
@MASTERSTHESIS{faber2010,
  author = {Till Faber},
  title = {Visualization of Neurodynamical Properties for an Evolutionary Robotics
	Environment},
  school = {University of Osnabr\"uck},
  year = {2010},
  type = {{B}achelor's Thesis},
  month = {November},
  pubtype = {thesis},
  timestamp = {2011.05.11}
}
@BOOK{Fischer2004,
  title = {A modulatory learning rule for neural learning and metalearning in
	real world robots with many degrees of freedom},
  publisher = {Shaker, Aachen},
  year = {2004},
  author = {J\"orn Fischer},
  number = {3},
  pages = {92},
  series = {Fraunhofer series in information and communication technology 2004},
  note = {PhD thesis},
  pubtype = {thesis},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Fischer2004a,
  author = {J\"orn Fischer and Frank Pasemann and Poramate Manoonpong},
  title = {Neuro-{C}ontrollers for {W}alking {M}achines - {A}n {E}volutionary
	{A}pproach to {R}obust {B}ehavior},
  booktitle = {CLAWAR 2004},
  year = {2004},
  editor = {M. Armada and P. Gonzalez de Santos},
  pages = {97--102},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@PHDTHESIS{zahedi08phd,
  author = {Keyan Mahmoud Ghazi-Zahedi},
  title = {Self-Regulating Neurons. {A} model for synaptic plasticity in artificial
	recurrent neural networks},
  school = {University of Osnabr\"uck},
  year = {2008},
  abstract = {Robustness and adaptivity are important behavioural properties observed
	in biological systems, which are still widely absent in articial
	intelligence applications. Such static or non-plastic articial systems
	are limited to their very specic problem domain. This work introducesa
	general model for synaptic plasticity in embedded articial recurrent
	neural networks, which is related to short-term plasticity by synaptic
	scaling in biological systems. The model is general in the sense
	that is does not require trigger mechanisms or articial limitations
	and it operates on recurrent neural networks of arbitrary structure.
	A Self-Regulation Neuron is dened as a homeostatic unit which regulates
	its activity against external disturbances towards a target value
	by modulation of its incoming and outgoing synapses. Embedded and
	situated in the sensori-motor loop, a network of these neurons is
	permanently driven by external stimuli andwill generally not settle
	at its asymptotically stable state. The system´s behaviour is determinedby
	the local interactions of the Self-Regulating Neurons.
	
	The neuron model is analysed as a dynamical system with respect to
	its attractor landscape and its transient dynamics. The latter is
	conducted based on dierent control structures for obstacle avoidance
	with increasing structural complexity derived from literature. The
	result isa controller that shows rst traces of adaptivity. Next,
	two controllers for dierent tasks are evolved and their transient
	dynamics are fully analysed.
	
	The results of this work not only show that the proposed neuron model
	enhances the behavioural properties, but also points out the limitations
	of short-term plasticity which does not account for learning and
	memory.},
  file = {zahedi08phd.pdf:zahedi08phd.pdf:PDF;zahedi08phd.pdf:zahedi08phd.pdf:PDF},
  keywords = {Recurrent Neural Network, Evolutionary Robotics, Homeostasis},
  timestamp = {2009.11.25}
}
@MASTERSTHESIS{graeuler2011,
  author = {Hannes Gr\"auler},
  title = {Hierarchical Neural Control of a Humanoid Robot Arm in the Sensorimotor
	Loop},
  school = {University of Osnabr\"uck},
  year = {2011},
  month = {May},
  pubtype = {thesis},
  timestamp = {2011.05.11}
}
@PHDTHESIS{HuelsePhd2007,
  author = {Martin H\"ulse},
  title = {{M}ultifunktionalit\"at rekurrenter neuronaler {N}etze: {S}ynthese
	und {A}nalyse nichtlinearer {K}ontrolle autonomer {R}oboter},
  school = {University of Osnabr\"uck, Germany},
  year = {2006},
  pages = {XIV, 215},
  pdf-web = {http://www.infix.com/loadtop/load.php?isbn=9783898383066},
  pubtype = {thesis},
  timestamp = {2008.10.14}
}
@INPROCEEDINGS{huelse_etal_2001,
  author = {M. H\"ulse and B. Lara and F. Pasemann and U. Steinmetz},
  title = {Evolving neural behavior control for autonomous robots},
  booktitle = {Proceedings International Conference on Artificial Neural Networks
	(ICANN 2001), LNCS 2130},
  year = {2001},
  pages = {957--962},
  address = {Berlin},
  publisher = {Springer Verlag},
  groups = {indy},
  keywords = {indy},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{huelse_pasemann1,
  author = {M. H\"ulse and F. Pasemann},
  title = {Dynamical neural Schmitt trigger for robot control},
  booktitle = {Artificial Neural Networks - ICANN 2002, International Conference,
	Madrid, Spain, August 28-30, 2002. Proceedings. LNCS 2415},
  year = {2002},
  editor = {J.R. Dorronsoro},
  pages = {783--788},
  address = {Berlin},
  publisher = {Springer Verlag},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2002-2.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Huelse2004,
  author = {Martin H\"ulse and Frank Pasemann},
  title = {Expansion of {N}euro-{M}odules by {S}tructure {E}volution},
  booktitle = {SOAVE 2004},
  year = {2004},
  editor = {H.M. Gross and K. Debes and H.J. Boehme},
  number = {743},
  series = {Fortschritt-Berichte VDI},
  pages = {135--145},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2004-1.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Huelse2006,
  author = {Martin H\"ulse and Frank Pasemann},
  title = {Modular Design of Irreducible Systems},
  booktitle = {From animals to Animats 9. 9th International Conference on Simulation
	of Adaptive Behavior, SAB 2006},
  year = {2006},
  editor = {Nolfi, S. et al.},
  number = {4095},
  series = {LNAI},
  pages = {534--545},
  address = {Berlin},
  publisher = {Springer-Verlag},
  pdf-web = {http://www.springerlink.com/content/4t37pjvtm50k3378/fulltext.pdf},
  pub-web = {http://www.springerlink.com/content/4t37pjvtm50k3378/},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Huelse2005,
  author = {Martin H\"ulse and Steffen Wischmann and Frank Pasemann},
  title = {The role of non-linearity for evolved multifunctional robot behavior},
  booktitle = {ICES 2005, Evolvable systems: From biology to hardware},
  year = {2005},
  editor = {J. M. Moreno and J. Madrenas and J. Cosp},
  number = {3637},
  series = {LNCS},
  pages = {108--118},
  abstract = {In this paper the role of non-linear control structures for the development
	of multifunctional robot behavior in a self-organized way is discussed.
	This discussion is based on experiments where combinations of two
	behavioral tasks are incrementally evolved. The evolutionary experiments
	develop recurrent neural networks of general type in a systematically
	way. The resulting networks are investigated according to the underlying
	structure-function relations. These investigations point to necessary
	properties providing multifunctionality, scalability, and open-ended
	evolutionary strategies in Evolutionary Robotics.},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2005-2.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@ARTICLE{Huelse2004a,
  author = {Martin H\"ulse and Steffen Wischmann and Frank Pasemann},
  title = {Structure and function of evolved neuro-controllers for autonomous
	robots},
  journal = {Connection Science},
  year = {2004},
  volume = {16},
  pages = {249--266},
  number = {4},
  abstract = {The artificial life approach to evolutionary robotics is used as a
	fundamental framework for the development of a modular neural control
	of autonomous mobile robots. The applied evolutionary technique is
	especially designed to grow different neural structures with complex
	dynamical properties. This is due to a modular neurodynamics approach
	to cognitive systems, stating that cognitive processes are the result
	of interacting dynamical neuro-modules. The evolutionary algorithm
	is described, and a few examples for the versatility of the procedures
	are given. Besides solutions for standard tasks like exploration,
	obstacle avoidance and tropism, also the sequential evolution of
	morphology and control of a biped is demonstrated. A further example
	describes the co-evolution of different neuro-controllers co-operating
	to keep a gravitationally driven art-robot in constant rotation.},
  keywords = {modular neuro-dynamics, nonlinear robot control, perception-action
	systems, structure evolution, evolution of morphology},
  pub-web = {http://www.ingentaconnect.com/content/tandf/ccos/2004/00000016/00000004/art00003},
  pubtype = {refereed},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{huelseEtAl2007,
  author = {Martin H\"ulse and Steffen Wischmann and Arndt von Twickel and Poramate
	Manoonpong and Frank Pasemann},
  title = {Dynamical Systems in the sensorimotor loop},
  booktitle = {50 Years of AI, Festschrift},
  year = {2007},
  editor = {M. Lungarella and F. Iida and J. Bongard and R. Pfeifer},
  volume = {4850},
  series = {Lecture Notes in Artificial Intelligence (LNAI)},
  pages = {186 -- 195},
  address = {Berlin Heidelberg},
  publisher = {Springer Verlag},
  pubtype = {conference},
  timestamp = {2008.01.18}
}
@INPROCEEDINGS{huelse_etal_2003,
  author = {M. H\"ulse and K. Zahedi and F. Pasemann},
  title = {Representing Robot-Environment Interactions by Dynamical Features
	of Neuro-Controllers},
  booktitle = {Anticipatory Behavior in Adaptive Learning Systems, LNAI 2684},
  year = {2003},
  editor = {M.V. Butz and O. Sigaud and P. G\'{e}rard},
  pages = {222-242},
  address = {Berlin},
  publisher = {Springer},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2003-3.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Huelse2006a,
  author = {Martin H\"ulse and Keyan Zahedi and Steffen Wischmann and Frank Pasemann},
  title = {In the search of principles underlying cognitive phenomena},
  booktitle = {Proceedings of the 50th Anniversary Summit of Artificial Intelligence
	ASAI50},
  year = {2006},
  address = {Conference: Monte Verita, Ascona, Switzerland},
  month = {July 9--14},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2006-1.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@PHDTHESIS{hild08,
  author = {Manfred Hild},
  title = {{N}eurodynamische {M}odule zur {B}ewegungssteuerung {A}utonomer {M}obiler
	{R}oboter},
  school = {Humboldt-Universit\"at zu Berlin},
  year = {2008},
  file = {hild08.pdf:hild08.pdf:PDF;hild08.pdf:hild08.pdf:PDF},
  pubtype = {thesis},
  timestamp = {2010.01.16}
}
@INPROCEEDINGS{Hild2007,
  author = {Manfred Hild and Frank Pasemann},
  title = {Self-adjusting ring modules (SARMs) for Flexible Gait Pattern Generation},
  booktitle = {Proceedings IJCAI'07},
  year = {2007},
  pages = {848--852},
  pubtype = {conference},
  timestamp = {2008.01.18}
}
@INPROCEEDINGS{Klaassen2004a,
  author = {Bernhard Klaassen and Keyan Zahedi and Frank Pasemann},
  title = {A {Mo}dular {A}pproach to {C}onstruction and {C}ontrol of {W}alking
	{R}obots},
  booktitle = {Robotik 2004: Leistungsstand, Anwendungen, Visionen, Trends},
  year = {2004},
  number = {1841},
  series = {VDI-Berichte},
  pages = {633--640},
  abstract = {In our view a walking machine is not a goal in itself. Of course,
	on one hand there are interesting applications, especially for exploration
	tasks, but on the other hand, a walking robot serves as demonstrator
	for nonlinear and adaptive control tasks with a high number of degrees-of-freedom
	and fast-changing sensor inputs. Here we describe a modular approach,
	not only for the construction, but also for control aspects: The
	control technique is called Pose Fitting Networks (PFN) and is able
	to adapt a basic set of small, recurrent neural networks to a user-defined
	sequence of robot poses, such that the output nodes of the net can
	drive the robot's legs periodically through the sequence of poses.},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2004-2.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{lara_etal,
  author = {B. Lara and M. H\"ulse and F. Pasemann},
  title = {Evolving Different Neuro-Modules and their Interfaces to Control
	Autonomous Robots},
  booktitle = {Proceedings The 5th World Multi-Conference on Systemics, Cybernetics
	and Informatics (SCI 2001), July 22-25, 2001, Orlando, Florida USA},
  year = {2001},
  pages = {259--264},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2001-4.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@MASTERSTHESIS{ludwig2011,
  author = {Sascha Ludwig},
  title = {Performance Evaluation of Modular Crossover for the Neuro-Evolution
	Method {ICONE}},
  school = {University of Osnabr\"uck},
  year = {2011},
  type = {{B}achelor's Thesis},
  month = {April},
  pubtype = {thesis},
  timestamp = {2011.05.11}
}
@MASTERSTHESIS{muehleis08,
  author = {Nina M\"uhleis},
  title = {Firmware f\"ur das verteilte {M}ultiprozessorsystem des modularen
	{L}aufroboters ''{O}ctavio''},
  school = {Universit\"at Oldenburg},
  year = {2008},
  type = {{D}iplomarbeit},
  month = {Dezember},
  file = {muehleis08.pdf:muehleis08.pdf:PDF},
  pubtype = {thesis},
  timestamp = {2010.02.03}
}
@PHDTHESIS{Manoonpong2006,
  author = {Poramate Manoonpong},
  title = {Neural preprocessing and control of reactive walking machines},
  school = {University of Siegen, Germany},
  year = {2006},
  pages = {XXII, 194},
  pubtype = {thesis},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Manoonpong2005,
  author = {Poramate Manoonpong and Frank Pasemann},
  title = {Advanced {M}obility {S}ensor driven- {W}alking {D}evice02 ({AMOS-WD}02)},
  booktitle = {Proceedings of the Third International Symposium on Adaptive Motion
	in Animals and Machines, Robot data sheet},
  year = {2005},
  address = {Ilmenau},
  publisher = {ISLE Verlag},
  isbn = {3-938843-03-9},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2005-5.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Manoonpong2005a,
  author = {Poramate Manoonpong and Frank Pasemann and J\"orn Fischer},
  title = {Modular neural control for a reactive behavior of walking machines},
  booktitle = {Proceedings of the 6th IEEE Symposium on Computational Intelligence
	in Robotics and Automation, (CIRA2005)},
  year = {2005},
  pages = {403--408},
  address = {Helsinki University of Technology, Finland},
  note = {27 - 30 June},
  abstract = {A small modular neural network is presented which is able to control
	the sensor-driven behavior of walking machines with many degrees
	of freedom. The controller is composed of a so called minimal recurrent
	controller (MRC) for sensory signal processing, a SO(2)-network as
	neural oscillator to generate the rhythmic leg movements, and a velocity
	regulating network (VRN) which expands the steering capabilities
	of the walking machine. This recurrent neurocontroller enables the
	machine to explore an in-door environment by avoiding obstacles.
	It was developed and tested using a physical simulation environment,
	and was then successfully transferred to the physical four-legged
	walking machine, called AMOS-WD02.},
  isbn = {0-7803-9355-4},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2005-3.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Manoonpong2004,
  author = {Poramate Manoonpong and Frank Pasemann and J\"orn Fischer},
  title = {Neural {P}rocessing of {A}uditory-tactile {S}ensor {D}ata to {P}erform
	{R}eactive {B}ehavior of {W}alking {M}achines },
  booktitle = {Proceedings of the IEEE MechRob2004. CD-ROM},
  year = {2004},
  pages = {189--194},
  abstract = {Spiders can sense sounds in a frequency range between approximately
	40 and 600 Hz by the use of hairs; they can detect e.g. the puff
	of wind of buzzing flies. On the contrary, scorpions use hairs as
	tactile sensors for obstacle avoidance. To integrate the advantages
	of both types of sensoric hairs, this article presents an artificial
	auditory-tactile sensor system, which combines the principles of
	the auditory hairs of spiders and the tactile hairs of scorpions,
	and investigates some neural techniques for processing these sensor
	signals. The different types of signals are discerned by recurrent
	neural networks in such a way that their output can generate different
	reactive behavior, like obstacle avoidance and tropism, of a walking
	machine. An evolutionary algorithm is applied to find an appropriate
	solution to this problem.},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2004-6.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@ARTICLE{Manoonpong2005b,
  author = {Poramate Manoonpong and Frank Pasemann and J\"orn Fischer and Hubert
	Roth},
  title = {Neural {P}rocessing of {A}uditory {S}ignals and {M}odular {N}eural
	{C}ontrol for {S}ound {T}ropism of {W}alking {M}achines},
  journal = {International Journal of Advanced Robotic Systems},
  year = {2005},
  volume = {2},
  pages = {223--235},
  number = {2},
  abstract = {The specialized hairs and slit sensillae of spiders (Cupiennius salei)
	can sense the airflow and auditory signals in a low-frequency range.
	They provide the sensor information for reactive behavior, like e.g.
	capturing a prey. In analogy, in this paper a setup is described
	where two microphones and a neural preprocessing system together
	with a modular neural controller are used to generate a sound tropism
	of a four-legged walking machine. The neural preprocessing network
	is acting as a low-pass filter and it is followed by a network which
	discerns between signals coming from the left or the right. The parameters
	of these networks are optimized by an evolutionary algorithm. In
	addition, a simple modular neural controller then generates the desired
	different walking patterns such that the machine walks straight,
	then turns towards a switched-on sound source, and then stops near
	to it.},
  issn = {1729-5506},
  keywords = {recurrent neural networks, neural control, auditory signal processing,
	autonomous robots, walking machines},
  pdf-web = {http://intechweb.org/downloadpdf.php?id=4136},
  pubtype = {refereed},
  timestamp = {2007.03.28}
}
@ARTICLE{manoonpong2010b,
  author = {Manoonpong, P. and Pasemann, F. and Kolodziejski, C. and W\"org\"otter,
	F.},
  title = {{Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent
	Neurons for Acoustic Signal Recognition in Robots}},
  journal = {Artificial Neural Networks--ICANN 2010},
  year = {2010},
  pages = {374--383},
  publisher = {Springer},
  pubtype = {conference}
}
@ARTICLE{Manoonpong2007c,
  author = {Poramate Manoonpong and Frank Pasemann and Hubert Roth},
  title = {Modular reactive neurocontrol for biologically-inspired walking machines},
  journal = {The International Journal of Robotics Research},
  year = {2007},
  volume = {26},
  pages = {301--331},
  doi = {10.1177/0278364906076263},
  pubtype = {refereed},
  timestamp = {2008.01.18}
}
@INPROCEEDINGS{Mannonpong2006a,
  author = {Poramate Manoonpong and Frank Pasemann and Hubert Roth},
  title = {A Modular Neurocontroller for a Sensor-Driven Reactive Behavior of
	Biologically Inspired Walking Machines},
  booktitle = {Proceedings of the fourth International Conference on Neural Networks
	and Artificial Intelligence (ICNNAI'2006)},
  year = {2006},
  address = {Conference: Brest, Belarus},
  month = {May 31--June 2},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2006-3.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@ARTICLE{Mannonpong2006b,
  author = {Poramate Manoonpong and Frank Pasemann and Hubert Roth},
  title = {A Modular Neurocontroller for a Sensor-Driven Reactive Behavior of
	Biologically Inspired Walking Machines},
  journal = {International Journal of Computing},
  year = {2006},
  volume = {5},
  pages = {75--86},
  pdf-web = {http://ijr.sagepub.com/cgi/reprint/26/3/301},
  pub-web = {http://ijr.sagepub.com/cgi/reprint/26/3/301},
  pubtype = {refereed},
  timestamp = {2007.03.28}
}
@ARTICLE{manoonpong08,
  author = {Poramate Manoonpong and Frank Pasemann and Florentin W\"org\"otter},
  title = {Sensor-Driven Neural Control for Omnidirectional Locomotion and Versatile
	Reactive Behaviors of Walking Machines},
  journal = {Robotics and Autonomous Systems},
  year = {2008},
  volume = {56},
  pages = {265 -- 288},
  note = {Elsevier Science},
  doi = {10.1016/j.robot.2007.07.004},
  file = {manoonpong08.pdf:manoonpong08.pdf:PDF},
  pubtype = {refereed},
  timestamp = {2008.01.18}
}
@ARTICLE{manoonpong2008a,
  author = {Poramate Manoonpong and Frank Pasemann and Florentin W\"org\"otter},
  title = {Reactive Neural Control for Phototaxis and Obstacle Avoidance Behavior
	of Walking Machines},
  journal = {International Journal of Mechanical Systems Science and Engineering},
  year = {2008},
  volume = {1},
  pages = {172-177},
  note = {(selected paper on PWASET-2007 conference)},
  pubtype = {refereed},
  timestamp = {2008.04.09}
}
@INPROCEEDINGS{manoonpong2007b,
  author = {Poramate Manoonpong and Frank Pasemann and Florentin W\"org\"otter},
  title = {Reactive Neural Control for Phototaxis and Obstacle Avoidance Behavior
	of Walking Machines},
  booktitle = {Proceedings of World Academy of Science, Engineering and Technology
	(PWASET), International conference on Intelligent systems (ICIS 2007)},
  year = {2007},
  volume = {26},
  address = {Bankok, Thailand December 20-22, 2007},
  note = {ISSN: 1307-6884},
  pubtype = {conference},
  timestamp = {2008.01.18}
}
@ARTICLE{manoonpong10,
  author = {Poramate Manoonpong and Florentin W\"org\"otter and Frank Pasemann},
  title = {Biological Inspiration for Mechanical Design and Control of Autonomous
	Walking Robots: Towards Life-like Robots.},
  journal = {The International Journal of Applied Biomedical Engineering (IJABME)},
  year = {2010},
  volume = {3},
  pages = {1-12},
  number = {1},
  pubtype = {refereed},
  timestamp = {2010.11.30}
}
@CONFERENCE{manoonpong2009b,
  author = {Manoonpong, P. and W\"org\"otter, F. and Pasemann, F.},
  title = {{Neural preprocessing of auditory-wind sensory signals and modular
	neural control for auditory-and wind-evoked escape responses of walking
	machines}},
  booktitle = {Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference
	on},
  year = {2009},
  pages = {786--793},
  organization = {IEEE},
  pubtype = {conference}
}
@MASTERSTHESIS{menze2010,
  author = {Dennis Menze},
  title = {Evolutionary Sound Matching Using Artificial Neural Networks},
  school = {University of Osnabr\"uck},
  year = {2010},
  type = {{B}achelor's Thesis},
  pubtype = {thesis},
  timestamp = {2011.05.11}
}
@MASTERSTHESIS{merkel2011,
  author = {Johannes Merkel},
  title = {A Multimodal Stabilization for Humanoid Upright Standing},
  school = {University of Osnabr\"uck},
  year = {2011},
  type = {{B}achelor's Thesis},
  month = {April},
  pubtype = {thesis},
  timestamp = {2011.05.11}
}
@INCOLLECTION{negrellobook,
  author = {Mario Negrello and Martin H\"ulse and Frank Pasemann},
  title = {Adaptive Neurodynamics},
  booktitle = {Applications of Complex Adaptive Systems},
  publisher = {Idea Group: Hershey, PA. USA},
  year = {2008},
  editor = {A. Yang and Y. Shan},
  pages = {85 -- 111},
  address = {USA},
  pubtype = {refereed},
  timestamp = {2008.04.09}
}
@INPROCEEDINGS{negrello2007b,
  author = {Mario Negrello and Frank Pasemann},
  title = {Transients of Active Tracking: A Stroll in Attractor Spaces},
  booktitle = {Advances in Artificial Life -- ECAL 2007},
  year = {2007},
  editor = {F. Almeida e Costa et al.},
  volume = {4648},
  series = {LNAI},
  pages = {1006 -- 1015},
  address = {Berlin},
  publisher = {Springer},
  pubtype = {conference},
  timestamp = {2008.01.18}
}
@ARTICLE{negrello08-02,
  author = {Mario Negrello and Frank Pasemann},
  title = {Attractor Landscapes and Active Tracking: The Neurodynamics of Embodied
	Action},
  journal = {Adaptive Behavior},
  year = {2008},
  volume = {16},
  pages = {196 -- 216},
  pubtype = {refereed},
  timestamp = {2008.04.22}
}
@PHDTHESIS{negrello09phd,
  author = {Mario J. Negrello},
  title = {Invariants of Behavior -- Constancy and Variability in Neural Systems},
  school = {Universit\"at Osnabr\"uck},
  year = {2009},
  pubtype = {thesis},
  timestamp = {2010.03.15}
}
@INPROCEEDINGS{pasemann97c,
  author = {Pasemann, F.},
  title = {Pole-balancing with different evolved neurocontrollers},
  booktitle = {Artificial Neural Networks - ICANN'97, October 7-10, Lausanne, Switzerland,
	Proceedings, LNCS 1327},
  year = {1997},
  editor = {Gerstner, W. and Germond, A. and Hasler, M. and Nicoud, J.-D},
  pages = {823--829},
  address = {Berlin},
  publisher = {Springer},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1997-3.pdf},
  pubtype = {conference},
  timestamp = {2009.05.08}
}
@INPROCEEDINGS{Pasemann1995,
  author = {Frank Pasemann},
  title = {Neuromodules: {A} Dynamical Systems Approach to Brain Modelling},
  booktitle = {Workshop on {Supercomputing in Brain Research: from tomography to
	neural networks, HLRZ, KFA Julich, Germany, November 21--23}},
  year = {1995},
  editor = {Hans J. Herrmann and D. E. Wolf and Ernst Poppel},
  address = {pub-WORLD-SCI:adr},
  publisher = {World Scientific Publishing Co.},
  bibdate = {Mon Aug 26 10:38:41 MDT 1996},
  file = {pasemann95a.pdf:./papers/pasemann95a.pdf:PDF},
  isbn = {981-02-2250-5}
}
@INPROCEEDINGS{pasemann99,
  author = {Pasemann, F.},
  title = {Driving neuromodules into synchronous chaos},
  booktitle = {Foundations and Tools for Beural Modeling, IWANN'99, Alicante, June
	2-4, Proceedings, Vol. I, LNCS 1606},
  year = {1999},
  editor = {Mira, J. and Sanchez-Andres},
  pages = {377--384},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1999-3.pdf},
  pubtype = {conference},
  timestamp = {2009.05.08}
}
@INBOOK{pasemann96,
  chapter = {Repräsentation ohne Repräsentation -- Überlegungen zu einer Neurodynamik
	modularer kognitiver Systeme},
  title = {Interne Repräsentationen - Neue Konzepte der Hirnforschung},
  publisher = {Suhrkamp},
  year = {1996},
  editor = {G. Rusch and S. J. Schmidt and O. Breidbach},
  author = {Frank Pasemann},
  address = {Frankfurt},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1996-4.pdf},
  pubtype = {other},
  timestamp = {2009.05.08}
}
@INPROCEEDINGS{pasemann99b,
  author = {Pasemann, F.},
  title = {Synchronizing chaotic neuromodules},
  booktitle = {European Symposium on Artificial Neural Networks, ESANN'99, Bruges,
	April 21-23, 1999, Proceedings},
  year = {1999},
  editor = {Verleysen, M.},
  pages = {1--6},
  publisher = {D-Facto},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1999-4.pdf},
  pubtype = {conference},
  timestamp = {2009.05.08}
}
@INPROCEEDINGS{pasemann2006,
  author = {Frank Pasemann},
  title = {Formalizing Emergence to Accelerate the Accretion of Embodied Intelligence},
  booktitle = {Proceedings of the ASAI50},
  year = {2006},
  address = {Conference: Monte Verita, Ascona, Switzerland},
  month = {July 9--14},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2006-4.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@ARTICLE{pasemann01d,
  author = {F. Pasemann},
  title = {Complex dynamics and the structure of small neural networks},
  journal = {Network: Computation in Neural Systems},
  year = {2002},
  volume = {13},
  pages = {195--216},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uos.de/~neurokybernetik/media/pdf/2002-1.pdf},
  pub-web = {http://www.informaworld.com/smpp/content~db=all~content=a713663430},
  pubtype = {refereed},
  timestamp = {2007.03.28}
}
@ARTICLE{pasemann99c,
  author = {Pasemann, F.},
  title = {Synchronized chaos and other coherent states for two coupled neurons},
  journal = {Physica D},
  year = {1999},
  volume = {128},
  pages = {236--249},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1999-1.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@ARTICLE{pasemann99d,
  author = {Pasemann, F.},
  title = {Synchronous and asynchronous chaos in coupled neuromodules},
  journal = {International Journal of Bifurcation and Chaos},
  year = {1999},
  volume = {9},
  pages = {1957--1968},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1999-5.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@INPROCEEDINGS{pasemann99f,
  author = {Pasemann, F.},
  title = {Synchronized chaos in coupled neuromodules of different types},
  booktitle = {Proceedings of the International Joint Conference on Neural Networks
	(IJCNN'99), Washington},
  year = {1999},
  address = {Piscataway},
  publisher = {IEEE-CD},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1999-7.pdf},
  pubtype = {conference},
  timestamp = {2009.05.08}
}
@ARTICLE{pasemann98,
  author = {Pasemann, F.},
  title = {Structure and Dynamics of Recurrent Neuromodules},
  journal = {Theory in Biosciences},
  year = {1998},
  volume = {117},
  pages = {1--17},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1998-1.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@ARTICLE{pasemann98b,
  author = {Pasemann, F.},
  title = {Evolving neurocontrollers for balancing an inverted pendulum},
  journal = {Network: Computation in Neural Systems},
  year = {1998},
  volume = {9},
  pages = {495--511},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1998-2.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@ARTICLE{pasemann97,
  author = {Frank Pasemann},
  title = {A simple chaotic neuron},
  journal = {Physica D},
  year = {1997},
  volume = {104},
  pages = {205--211},
  otherinfo = { },
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1997-1.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@ARTICLE{pasemann95,
  author = {Pasemann, F.},
  title = {Characterization of periodic attractors in neural ring networks},
  journal = {Neural Networks},
  year = {1995},
  volume = {8},
  pages = {421--429},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1995-1.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@ARTICLE{pasemann93,
  author = {Frank Pasemann},
  title = {Dynamics of a single model neuron},
  journal = {International Journal of Bifurcation and Chaos},
  year = {1993},
  volume = {2},
  pages = {271--278},
  otherinfo = { },
  pdf-web = {http://www.ikw.uos.de/~neurokybernetik/media/pdf/1993-4.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@INPROCEEDINGS{pasemann97b,
  author = {Pasemann, F. and Dieckmann, U.},
  title = {Evolved neurocontrollers for pole-balancing},
  booktitle = {Biological and Artificial Computation: From Neuroscience to Technology,
	Proceedings IWANN'97, Lanzarote, Canary Islands, Spain, June 1997},
  year = {1997},
  editor = {J. Mira, R. Moreno-Diaz, J. Cabestany},
  pages = {1279--1287},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1997-2.pdf},
  pubtype = {conference},
  timestamp = {2009.05.08}
}
@ARTICLE{pasemann97d,
  author = {Pasemann, F. and Dieckmann, U.},
  title = {Balancing rotators with evolved neurocontrollers},
  journal = {MIS-MPG-preprint},
  year = {1997},
  volume = {97/37},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1997-4.pdf},
  pubtype = {other},
  timestamp = {2009.05.08}
}
@INPROCEEDINGS{pasemann99e,
  author = {Pasemann, F. and Dieckmann, U. and Steinmetz, U.},
  title = {Evolving structure and function of neurocontrollers},
  booktitle = {Proceedings of the 1999 Congress on Evolutionary Computation, Washington,
	July 6-9},
  year = {1999},
  pages = {1937--1978},
  address = {Piscataway},
  publisher = {IEEE Press},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1999-6.pdf},
  pubtype = {conference},
  timestamp = {2009.05.08}
}
@INPROCEEDINGS{pasemann03a,
  author = {F. Pasemann and M. H\"ulse and K. Zahedi},
  title = {Evolved Neurodynamics for Robot Control},
  booktitle = {European Symposium on Artificial Neural Networks'2003},
  year = {2003},
  editor = {M. Verleysen},
  pages = {439-444},
  publisher = {D-side publications},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2003-1.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{pasemann03b,
  author = {F. Pasemann and M. Hild and K. Zahedi},
  title = {SO(2)-Networks as Neural Oscillators},
  booktitle = {Computational Methods in Neural Modeling, Proceedings IWANN 2003,
	LNCS 2686},
  year = {2003},
  editor = {J. Mira and J. R. Alvarez},
  organization = {Berlin},
  publisher = {Springer},
  groups = {indy},
  keywords = {indy},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INCOLLECTION{pasemann2012a,
  author = {Pasemann, Frank and Rempis, Christian W. and von Twickel, Arndt},
  title = {Evolving Humanoid Behaviors for Language Games},
  booktitle = {Language Grounding in Robots},
  publisher = {Springer US},
  year = {2012},
  editor = {Steels, Luc and Hild, Manfred},
  pages = {67-86},
  isbn = {978-1-4614-3064-3},
  pdf-web = {http://ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2012-2.pdf},
  url = {http://dx.doi.org/10.1007/978-1-4614-3064-3_4},
  url-web = {http://www.springerlink.com/content/mg15062jr1n31125/}
}
@INPROCEEDINGS{pasemann_etal,
  author = {F. Pasemann and U. Steinmetz and M. H\"ulse and B. Lara},
  title = {Evolving brain structures for robot control},
  booktitle = {Bio-Inspired Applications of Connectionism, Proceedings IWANN 2001,
	LNCS 2085},
  year = {2001},
  editor = {J. Mira and A. Prieto},
  pages = {410--417},
  address = {Berlin},
  publisher = {Springer Verlag},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2001-2.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@ARTICLE{pasemann01c,
  author = {F. Pasemann and U. Steinmetz and M. H\"ulse and B. Lara},
  title = {Robot control and the evolution of modular neurodynamics},
  journal = {Theory in Biosciences},
  year = {2001},
  volume = {120},
  pages = {311--326},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2001-5.pdf},
  pubtype = {refereed},
  timestamp = {2007.03.28}
}
@ARTICLE{pasemann98c,
  author = {Pasemann, F. and Stollenwerk, N.},
  title = {Attractor Switching by Neural Control of Chaotic Neurodynamics},
  journal = {Network: Computation in Neural Systems},
  year = {1998},
  volume = {9},
  pages = {549--561},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1998-3.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@ARTICLE{pasemann-wennekers_b,
  author = {F. Pasemann and Wennekers},
  title = {Generalized and partial synchronization of coupled neural networks},
  journal = {Network: Computation in Neural Systems},
  year = {2000},
  volume = {11},
  pages = {41--61},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2000-1.pdf},
  pubtype = {refereed},
  timestamp = {2007.03.28}
}
@ARTICLE{pasemann99g,
  author = {Pasemann, F. and Wennekers, T.},
  title = {Complete synchronization in coupled neuromodules of different types},
  journal = {Theory in Biosciences},
  year = {1999},
  volume = {118},
  pages = {267--283},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1999-8.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@ARTICLE{Pasemann2004,
  author = {Frank Pasemann and Keyan Zahedi and Marieke Rohde},
  title = {Adaptive {B}ehaviour {C}ontrol by {S}elf-regulating {N}eurons},
  journal = {MPI-MIS-Preprint},
  year = {2004},
  volume = {55},
  pages = {unknown},
  pubtype = {other},
  timestamp = {2007.03.28}
}
@MASTERSTHESIS{patel08,
  author = {Vishal Patel},
  title = {Neuro-Control in the Sensorimotor Loop: Multi-Modal
	
	Motor Control for a Modular Walking Machine},
  school = {Fachhochschule Bonn-Rhein-Sieg},
  year = {2008},
  file = {patel08.pdf:patel08.pdf:PDF},
  pubtype = {thesis},
  timestamp = {2010.01.31}
}
@MASTERSTHESIS{reinke2009,
  author = {Chris Reinke},
  title = {Automated Identification of Motor Models for a Humanoid Robot},
  school = {University of Osnabr\"uck},
  year = {2009},
  type = {{B}achelor's Thesis},
  month = {December},
  pubtype = {thesis},
  timestamp = {2011.05.11}
}
@INCOLLECTION{rempis2012b,
  author = {Rempis, Christian and Pasemann, Frank},
  title = {Evolving Variants of Neuro-Control Using Constraint Masks},
  booktitle = {From Animals to Animats 12},
  publisher = {Springer Berlin / Heidelberg},
  year = {2012},
  editor = {Ziemke, Tom and Balkenius, Christian and Hallam, John},
  volume = {7426},
  series = {Lecture Notes in Computer Science},
  pages = {187-197},
  note = {10.1007/978-3-642-33093-3_19},
  affiliation = {Institute of Cognitive Science, University of Osnabrück, Osnabrück,
	Germany},
  isbn = {978-3-642-33092-6},
  keyword = {Computer Science},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2012-3.pdf},
  pubtype = {conference},
  material-web = {http://nerd.x-bot.org/closed-chain-animat},
  url = {http://dx.doi.org/10.1007/978-3-642-33093-3_19}
}
@PHDTHESIS{rempis2012,
  author = {Christian W. Rempis},
  title = {Evolving Complex Neuro-Controllers with Interactively Constrained
	Neuro-Evolution},
  school = {Osnabr\"uck University},
  year = {2012},
  month = {October},
  pages = {240},
  pdf-web = {http://repositorium.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2012101710370},
  pubtype = {thesis},
  timestamp = {2012.10.17},
  url = {http://repositorium.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2012101710370},
  url-web = {http://nbn-resolving.de/urn:nbn:de:gbv:700-2012101710370},
  urn = {urn:nbn:de:gbv:700-2012101710370}
}
@MASTERSTHESIS{rempis2007,
  author = {Christian W. Rempis},
  title = {Short-Term Memory Structures in Additive Recurrent Neural Networks},
  school = {University of Applied Sciences Bonn-Rhein-Sieg},
  year = {2007},
  pdf-web = {http://web277.sv12.net-housting.de/files/publications/master_thesis_rempis07.pdf},
  pubtype = {thesis},
  timestamp = {2008.04.13}
}
@INCOLLECTION{rempis12a,
  author = {Christian W. Rempis and Frank Pasemann},
  title = {An Interactively Constrained Neuro-Evolution Approach for Behavior
	Control of Complex Robots},
  booktitle = {Variants of Evolutionary Algorithms for Real-World Applications},
  publisher = {Springer},
  year = {2012},
  editor = {Raymond Chiong and Thomas Weise and Zbigniew Michalewicz},
  pages = {305--341},
  bibdate = {2011-11-16},
  bibsource = {DBLP, http://dblp.uni-trier.de/db/books/collections/Chiong2012.html#RempisP12},
  isbn = {978-3-642-23423-1},
  pdf-web = {http://ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2012-1.pdf},
  pubtype = {refereed},
  url = {http://dx.doi.org/10.1007/978-3-642-23424-8},
  url-web = {http://www.springerlink.com/content/l08765u81127816m/}
}
@INPROCEEDINGS{rempis10a,
  author = {Christian W. Rempis and Frank Pasemann},
  title = {Search Space Restriction of Neuro-Evolution Through Constrained Modularization
	of Neural Networks},
  booktitle = {Proceedings of the 6th International Workshop on Artificial Neural
	Networks and Intelligent Information Processing (ANNIIP), in Conjunction
	with ICINCO 2010.},
  year = {2010},
  editor = {Mandai, K.},
  pages = {13-22},
  address = {Madeira, Portugal},
  month = {June},
  publisher = {SciTePress},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2010-1.pdf},
  pubtype = {conference},
  timestamp = {2010.06.30}
}
@INPROCEEDINGS{rempis10b,
  author = {Christian W. Rempis and Verena Thomas and Ferry Bachmann and Frank
	Pasemann},
  title = {{NERD} - {N}eurodynamics and {E}volutionary {R}obotics {D}evelopment
	{K}it},
  booktitle = {SIMPAR 2010},
  year = {2010},
  editor = {N. Ando et al.},
  volume = {6472},
  series = {Lecture Notes in Artificial Intelligence},
  pages = {121--132},
  publisher = {Springer, Heidelberg},
  pdf-web = {http://ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2010-2.pdf},
  pubtype = {conference},
  timestamp = {2010.10.13},
  url = {http://dx.doi.org/10.1007/978-3-642-23424-8},
  url-web = {http://www.springerlink.com/content/et4617224r25244r/}
}
@MASTERSTHESIS{Rosemann2004,
  author = {Michael Rosemann},
  title = {Visualisierung der Aktivit\"at von Neurokontrollern auf autonomen
	mobilen Robotern},
  school = {Fachhochschule Oldenburg/Ostfriesland/Wilhelmshaven, Emden, Germany},
  year = {2004},
  pubtype = {thesis},
  timestamp = {2007.03.28}
}
@MASTERSTHESIS{Rupprecht2004,
  author = {Kai Rupprecht},
  title = {Entwicklung eines Gelenkelementes einer Laufmaschine},
  school = {Rheinische Fachhochschule K\"oln},
  year = {2004},
  pubtype = {thesis},
  timestamp = {2007.03.28}
}
@MASTERSTHESIS{schumacher2008,
  author = {Johannes Schumacher},
  title = {Reflex oscillation in the sensorimotor loop of walking machines},
  school = {University of Osnabr\"uck},
  year = {2008},
  type = {{B}achelor's Thesis},
  month = {September},
  pubtype = {thesis},
  timestamp = {2011.05.11}
}
@MASTERSTHESIS{siedel09,
  author = {Torsten Siedel},
  title = {{E}ntwicklung eines elektromechanischen {A}ntriebssystems f\"ur {G}ehroboter
	in {A}nlehnung an biologische {P}rinzipien},
  school = {Rheinische Fachhochschule K\"oln},
  year = {2009},
  type = {{D}iplomarbeit},
  file = {siedel09.pdf:siedel09.pdf:PDF},
  pubtype = {thesis},
  timestamp = {2010.01.31}
}
@INPROCEEDINGS{stollenwerk96,
  author = {Stollenwerk, N. and Pasemann, F.},
  title = {Switching in self-controlled chaotic neuromodules},
  booktitle = {World Congress on Neural Networks, San Diego, California, Sept. 15-18,
	1996},
  year = {1996},
  pages = {680--684},
  address = {New Jersey},
  publisher = {INNS Press and Lawrence Erlbaum},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1996-2.pdf},
  pubtype = {conference},
  timestamp = {2009.05.08}
}
@MASTERSTHESIS{thomas2008,
  author = {Verena Thomas},
  title = {Evolution einer kamerabasierten Neurokontrolle autonomer Roboter
	unter Ber\"ucksichtigung der Eigenbewegung},
  school = {Rheinische Friedrich-Wilhelms-Universit\"at},
  year = {2008},
  pubtype = {thesis},
  timestamp = {2008.07.14}
}
@MASTERSTHESIS{twickel04,
  author = {Arndt von Twickel},
  title = {Obstacle perception by scorpions and robots -- {F}rom biology to
	robotics via physical simulation and evolving neural networks},
  school = {Universit\"at Bonn},
  year = {2004},
  type = {{Diplomarbeit}},
  abstract = {Locomotion has not been understood well enough to build robots that
	autonomously navigate through rough terrain. The current understanding
	of locomotion implies a highly decentralized and modular control
	structure. Two experimental approaches, each addressing a different
	level of control, have been made to gain insight into the mechanisms
	of obstacle perception as an integral part of rough terrain locomotion.
	In the first approach controllers were developed for single, morphological
	distinct legs through artificial evolution and physical simulation.
	The results showed re ex-oscillators which inherently relied on the
	sensori-motor loop and a hysteresis effect. Successful coupling of
	six controllers, exclusively by means of the sensori-motor loop,
	showed the applicability of the modular concept. In a second approach
	a behavioural experiment was conducted with scorpions (Pandinus Cavimanus
	(POCOCK)) walking on a locomotion compensator and making contact
	with obstacles of different heights. The experiment showed that the
	scorpions employed their pedipalps (especially the obstacle facing
	one) for rhythmic groping movements. No coupling of the pedipalp
	rhythm to the leg movement could be found. Further prolonged phases
	of exclusive hair-contact and \hair-brushing" behaviours have been
	observed, suggesting an important role of the pedipalps and their
	hairs in the process of obstacle detection and therefore in rough
	terrain locomotion. Taken together, the results establish a basis
	for future integration of the two approaches.},
  file = {twickel04.pdf:/home/arndt/daten/doktorarbeit/literatur/papers/twickel04.pdf:PDF},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/twickel04.pdf},
  pubtype = {thesis},
  timestamp = {2006.12.12}
}
@ARTICLE{twickel11a,
  author = {Arndt von Twickel and Ansgar B\"uschges and Frank Pasemann},
  title = {Deriving Neural Network Controllers from Neuro-Biological Data --
	Implementation of a Single-Leg Stick Insect Controller},
  journal = {Biological Cybernetics},
  year = {2011},
  volume = {Online First},
  doi = {10.1007/s00422-011-0422-1},
  pdf-web = {http://www.springerlink.com/content/r48480417507682w/fulltext.pdf},
  pubtype = {refereed},
  timestamp = {2010.01.30},
  url-web = {http://www.springerlink.com/content/r48480417507682w/}
}
@INPROCEEDINGS{twickel11d,
  author = {A. von Twickel and K. Hellekes and F. Pasemann and A. B\"uschges},
  title = {Interplay Of Local And Global Co-ordination In Stick Insect Walking
	- An Evolutionary Robotics Approach},
  booktitle = {9th G{\"o}ttingen Meeting of the German Neuroscience Society},
  year = {2011},
  pages = {T21-3B},
  pubtype = {conference},
  timestamp = {2011.01.09}
}
@INPROCEEDINGS{twickel06c,
  author = {Arndt von Twickel and Manfred Hild and Torsten Siedel and Frank Pasemann},
  title = {Octavio: Autonomous legs for a reconfigurable walking machine},
  booktitle = {HLR 2006, French-German Workshop on Humanoid and Legged Robots},
  year = {2006},
  editor = {Christian Simonidis},
  address = {Karlsruhe},
  month = {September},
  abstract = {A modular approach, in software as well as in hardware, to the development
	of a robust, compliant and sensordriven walking machine is taken.
	The walking
	
	machine Octavio consists of single, energy- and control-autonomous
	legs with 3 Degrees of Freedom. Spring couplings and pre-stressed
	springs in the joints make the legs robust and allow for a very high
	payload when compared with most other walking machines. The walking
	machine is easily and rapidly reconfigurable, e.g. to a four-, six-
	or eight-legged one, by connecting multiple legs to diversly shaped
	torsi which provide communication pathways between the autonomous
	legs rather than serving as a central control unit. Consistent with
	the nature of the hardware, modular and distributed controllers are
	developed. Initially controllers are developed for single legs to
	later couple multiple single leg controllers to drive the whole walking
	machine. Controllers consist of recurrent neural networks that are
	developed and optimized by artificial evolution. This approach inherently
	promotes the inclusion of the sensorimotor-loop into the controllers.
	The goal of this endeavor is to build up a library of efficient control
	mechanisms that enable the walking machine to show a robust performance
	under rough terrain conditions and to compare these mechanisms with
	other technical control strategies and with recently discovered neural
	mechanisms of walking control in animals.},
  conf-web = {http://www.itm.uni-karlsruhe.de/hlr2006/},
  file = {twickel06c.pdf:twickel06c.pdf:PDF},
  pubtype = {conference},
  timestamp = {2006.12.12}
}
@ARTICLE{vonTwickel2012,
  author = {Arndt von Twickel and Manfred Hild and Torsten Siedel and Vishal
	Patel and Frank Pasemann},
  title = {Neural control of a modular multi-legged walking machine: Simulation
	and hardware},
  journal = {Robotics and Autonomous Systems},
  year = {2012},
  volume = {60},
  pages = {227 - 241},
  number = {2},
  doi = {10.1016/j.robot.2011.10.006},
  issn = {0921-8890},
  pubtype = {refereed},
  url = {http://www.sciencedirect.com/science/article/pii/S0921889011002016}
}
@INPROCEEDINGS{twickel06b,
  author = {Arndt von Twickel and Frank Pasemann},
  title = {Adaptive behaviour of single legs with evolved neural control},
  booktitle = {Dynamical principles for neuroscience and intelligent biomimetic
	devices},
  year = {2006},
  editor = {Auke Jan Ijspeert and Jonas Buchli and Allen Selverston and Mikhail
	Rabinovich and Martin Hasler and Wulfram Gerstner and Aude Billard
	and Henry Markram and Dario Floreano},
  pages = {137--138},
  publisher = {EPFL},
  note = {ISBN 978-2-8399-0134-5},
  conf-web = {http://latsis2006.epfl.ch/},
  file = {twickel06b.pdf:twickel06b.pdf:PDF},
  groups = {indy, walking},
  pubtype = {conference},
  timestamp = {2006.12.12}
}
@ARTICLE{twickel06,
  author = {Arndt von Twickel and Frank Pasemann},
  title = {Reflex-Oscillations in Evolved Single Leg Neurocontrollers for Walking
	Machines},
  journal = {Natural Computing},
  year = {2007},
  volume = {6},
  pages = {311--337},
  number = {3},
  doi = {10.1007/s11047-006-9011-y},
  file = {twickel06.pdf:twickel06.pdf:PDF},
  pdf-web = {http://www.springerlink.com/content/y215179k337321g6/fulltext.pdf},
  pub-web = {http://www.springerlink.com/content/y215179k337321g6/?p=4a3540c603854d6e90ef9b8aac4e5c55&pi=0},
  pubtype = {refereed},
  timestamp = {2006.12.12},
  url = {http://dx.doi.org/10.1007/s11047-006-9011-y}
}
@ARTICLE{twickel05,
  author = {Arndt von Twickel and Frank Pasemann},
  title = {Evolved Neural Reflex-Oscillators for Walking Machines},
  journal = {Lecture Notes in Computer Science},
  year = {2005},
  volume = {3561},
  pages = {376--385},
  abstract = {Legged locomotion has not been understood well enough to build walking
	machines that autonomously navigate through rough terrain. The current
	biological understanding of legged locomotion implies a highly decentralised
	and modular control structure. Neurocontrollers were developed for
	single, morphological distinct legs of a hexapod walking machine
	through artificial evolution and physical simulation. The results
	showed extremely small reflex-oscillators which inherently relied
	on the sensori-motor loop and a hysteresis effect. Relationships
	with biological findings are shortly discussed.},
  file = {twickel05.pdf:/home/arndt/daten/doktorarbeit/literatur/papers/twickel05.pdf:PDF},
  groups = {indy},
  keywords = {indy},
  longnotes = {Publisher: Springer-Verlag GmbH ISSN: 0302-9743 Subject: Computer
	Science Volume 3561 / 2005 Title: Mechanisms, Symbols, and Models
	Underlying Cognition: First International Work-Conference on the
	Interplay Between Natural and Artificial Computation, IWINAC 2005,
	Las Palmas, Canary Islands, Spain, June 15-18, 2005, Proceedings,
	Part I Editors: Jos? Mira, Jos? R. ?lvarez ISBN: 3-540-26298-9 DOI:
	10.1007/b137289 Chapter: p. 376 DOI: 10.1007/11499220_39 Online Date:
	June 2005 Tasks Modelling at the Knowledge Level},
  pdf-web = {http://www.springerlink.com/content/wn25a0x3dragnthw/fulltext.pdf},
  pub-web = {http://www.springerlink.com/content/wn25a0x3dragnthw/?p=bc17962e9d8142f8b45907afb94d09c0&pi=0},
  pubtype = {conference},
  timestamp = {2006.12.12}
}
@ARTICLE{wennekers_pasemann,
  author = {T. Wennekers and F. Pasemann},
  title = {Generalized types of synchronization in networks of spiking neurons},
  journal = {Neurocomputing},
  year = {2001},
  volume = {38--40},
  pages = {1037--1042},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2001-1.pdf},
  pubtype = {refereed},
  timestamp = {2007.03.28}
}
@ARTICLE{wennekers96,
  author = {Wennekers, T. and Pasemann, F.},
  title = {Synchronous chaos in highdimensional modular neural networks},
  journal = {International Journal of Bifurcation and Chaos},
  year = {1996},
  volume = {6},
  pages = {2055--2067},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/1996-3.pdf},
  pubtype = {refereed},
  timestamp = {2009.05.08}
}
@ARTICLE{wenzel,
  author = {W. Wenzel and N. Ay and F. Pasemann},
  title = {Hyperplane arrangements separating arbitrary vertex classes in n-cubes},
  journal = {Advances in Applied Mathematics},
  year = {2000},
  volume = {25},
  pages = {284--306},
  groups = {indy},
  keywords = {indy},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2000-2.pdf},
  pubtype = {referees},
  timestamp = {2007.03.28}
}
@PHDTHESIS{WischmannPhd2008,
  author = {Steffen Wischmann},
  title = {{N}eural dynamics of social behavior: An evolutionary and mechanistic
	perspective on communication, cooperation, and competition among
	situated agents},
  school = {University of Bonn, Germany},
  year = {2008},
  pages = {202},
  pdf-web = {http://nbn-resolving.de/urn:nbn:de:hbz:5N-14514},
  pubtype = {thesis},
  timestamp = {2008.10.14}
}
@MASTERSTHESIS{wischmann03,
  author = {Steffen Wischmann},
  title = {{Entwicklung der Morphologie und Steuerung eines zweibeinigen Laufmodells}},
  school = {Universit\"at des Saarlandes},
  year = {2003},
  type = {{D}iplomarbeit},
  file = {wischmann03.pdf:wischmann03.pdf:PDF},
  groups = {indy, biped, locomotion, evolution, morphology, passive},
  keywords = {indy, biped, locomotion, evolution, morphology, passive},
  otherinfo = { },
  pubtype = {thesis},
  timestamp = {2010.03.15}
}
@ARTICLE{Wischmann2006,
  author = {Steffen Wischmann and Martin H\"ulse and Johannes Knabe and Frank
	Pasemann},
  title = {Synchronization of Internal Neural Rhythms in Multi-Robotic systems},
  journal = {Adaptive Behavior},
  year = {2006},
  volume = {14},
  pages = {117--127},
  number = {2},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2006-8.pdf},
  pubtype = {refereed},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Wischmann2005,
  author = {Steffen Wischmann and Martin H\"ulse and Frank Pasemann},
  title = {(Co){E}volution of ({D}e)centralized {N}eural {C}ontrol for a {G}ravitationally
	{D}riven},
  booktitle = {ECAL 2005},
  year = {2005},
  editor = {Machine.Capcarrere et al.},
  volume = {3630},
  pages = {179--188},
  publisher = {LNAI},
  abstract = {Using decentralized control structures for robot control can offer
	a lot of advantages, such as less complexity, better fault tolerance
	and more flexibility. In this paper the evolution of recurrent artificial
	neural networks as centralized and decentralized control architectures
	will be demonstrated. Both designs will be analyzed concerning their
	structure-function relations and robustness against lesion experiments.
	As an application, a gravitationally driven robotic system will be
	introduced. Its task can be allocated to a cooperative behavior of
	five subsystems. A co-evolutionary strategy for generating five autonomous
	agents in parallel will be described.},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2005-8.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@CONFERENCE{Wischmann2006a,
  author = {Steffen Wischmann and Frank Pasemann},
  title = {The emergence of communication by evolving dynamical systems},
  booktitle = {From animals to Animats 9. 9th International Conference on Simulation
	of Adaptive Behavior, SAB 2006},
  year = {2006},
  editor = {Nolfi, S et al.},
  number = {4095},
  series = {LNAI},
  pages = {777--788},
  address = {Berlin},
  publisher = {Springer-Verlag},
  pdf-web = {http://www.springerlink.com/content/hn117k0135055023/fulltext.pdf},
  pub-web = {http://www.springerlink.com/content/hn117k0135055023/},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{Wischmann2004,
  author = {Steffen Wischmann and Frank Pasemann},
  title = {From {P}assive to {A}ctive {D}ynamic 3{D} {B}ipedal {W}alking - {A}n
	{E}volutionary {A}pproach },
  booktitle = {CLAWAR 2004},
  year = {2004},
  pages = {737--744},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{wischmann2007,
  author = {Steffen Wischmann and Frank Pasemann and Florentin W\"org\"otter},
  title = {Cooperation and Competition: Neural mechanisms of evolved communication
	systems},
  booktitle = {Workshop on The Emergence of Social Behaviour: From Cooperation to
	Language pattern -- ECAL07},
  year = {2007},
  note = {CD-ROM},
  pubtype = {conference},
  timestamp = {2008.01.18}
}
@CONFERENCE{Zahedi2004,
  author = {Keyan Zahedi and Martin H\"ulse and Frank Pasemann},
  title = {Evolving neurocontrollers in the RoboCup domain},
  booktitle = {Robotik 2004. Leistungsstand, Anwendungen, Visionen, Trends},
  year = {2004},
  number = {1841},
  series = {VDI-Berichte},
  pages = {63--70},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2004-3.pdf},
  pubtype = {conference},
  timestamp = {2007.03.28}
}
@ARTICLE{Zahedi2004a,
  author = {Keyan Zahedi and Martin H\"ulse and Frank Pasemann},
  title = {Evolution nicht-linearer Kontroller f\"ur mobile Roboter in dynamischen
	Umgebungen},
  journal = {Automatisierungstechnische Praxis atp},
  year = {2004},
  volume = {(2004)},
  pages = {97--100},
  number = {10},
  pdf-web = {http://www.ikw.uni-osnabrueck.de/~neurokybernetik/media/pdf/2004-4.pdf},
  pubtype = {other},
  timestamp = {2007.03.28}
}
@INPROCEEDINGS{zahedi2007,
  author = {Keyan Zahedi and Frank Pasemann},
  title = {Adaptive Behavior Control with Self-regulating Neurons},
  booktitle = {50 Years of AI},
  year = {2007},
  editor = {M. Lungarella and F. Iida and J. Bongard and R. Pfeifer},
  volume = {4850},
  series = {LNAI},
  pages = {196 -- 205},
  address = {Berlin Heidelberg},
  publisher = {Springer Verlag},
  chapter = {Adaptive Behavior Control with Self-regulating Neurons},
  journal = {LNAI - 50 Years of AI, Festschrift},
  pubtype = {conference},
  timestamp = {2008.01.18}
}
@INPROCEEDINGS{zahedi08,
  author = {Keyan Zahedi and Arndt von Twickel and Frank Pasemann},
  title = {YARS: A Physical 3D Simulator for Evolving Controllers for Real Robots},
  booktitle = {Simulation, Modeling and Programming for Autonomous Robots (SIMPAR
	2008)},
  year = {2008},
  editor = {Stefano Carpin and Itsuki Noda and Enrico Pagello and Monica Reggiani
	and Oskar von Stryk},
  volume = {5325},
  series = {LNAI},
  pages = {75--86},
  publisher = {Springer},
  doi = {http://dx.doi.org/10.1007/978-3-540-89076-8_11},
  keywords = {physical simulation, evolutionary robotics},
  pdf-web = {http://www.springerlink.com/content/35104r43t30mn783/},
  pubtype = {conference},
  timestamp = {2008.11.12},
  url = {http://www.springerlink.com/content/35104r43t30mn783/}
}
@PHDTHESIS{vonTwickel2011,
  title = {Embodied Modular Neural Control of Walking in Stick
		 Insects -- From Biological Models to Evolutionary
		 Robotics},
  author = {Arndt von Twickel},
  year = {2011},
  month = {March},
  pubtype = {thesis},
  pdf-web = {http://nbn-resolving.de/urn:nbn:de:hbz:38-45865},
  school = {University of Cologne, Germany},
  year = {2011},
  pages = {213}
}
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