Research Area "Neurocybernetics"

Publications

by category -- by year -- as .bib

Refereed papers

[1]	C. W. Rempis and F. Pasemann, “An interactively constrained neuro-evolution approach for behavior control of complex robots,” in Variants of Evolutionary Algorithms for Real-World Applications (R. Chiong, T. Weise, and Z. Michalewicz, eds.), pp. 305-341, Springer, 2012. [ bib \| html \| pdf \| ]
[2]	A. von Twickel, M. Hild, T. Siedel, V. Patel, and F. Pasemann, “Neural control of a modular multi-legged walking machine: Simulation and hardware,” Robotics and Autonomous Systems, vol. 60, no. 2, pp. 227 - 241, 2012. [ bib \| DOI \| ]
[3]	A. von Twickel, A. Büschges, and F. Pasemann, “Deriving neural network controllers from neuro-biological data - implementation of a single-leg stick insect controller,” Biological Cybernetics, vol. Online First, 2011. [ bib \| DOI \| html \| pdf ]
[4]	P. Manoonpong, F. Wörgötter, and F. Pasemann, “Biological inspiration for mechanical design and control of autonomous walking robots: Towards life-like robots.,” The International Journal of Applied Biomedical Engineering (IJABME), vol. 3, no. 1, pp. 1-12, 2010. [ bib ]
[5]	P. Manoonpong, F. Pasemann, and F. Wörgötter, “Sensor-driven neural control for omnidirectional locomotion and versatile reactive behaviors of walking machines,” Robotics and Autonomous Systems, vol. 56, pp. 265 - 288, 2008. Elsevier Science. [ bib \| DOI ]
[6]	P. Manoonpong, F. Pasemann, and F. Wörgötter, “Reactive neural control for phototaxis and obstacle avoidance behavior of walking machines,” International Journal of Mechanical Systems Science and Engineering, vol. 1, pp. 172-177, 2008. (selected paper on PWASET-2007 conference). [ bib ]
[7]	M. Negrello, M. Hülse, and F. Pasemann, “Adaptive neurodynamics,” in Applications of Complex Adaptive Systems (A. Yang and Y. Shan, eds.), pp. 85 - 111, USA: Idea Group: Hershey, PA. USA, 2008. [ bib ]
[8]	M. Negrello and F. Pasemann, “Attractor landscapes and active tracking: The neurodynamics of embodied action,” Adaptive Behavior, vol. 16, pp. 196 - 216, 2008. [ bib ]
[9]	P. Manoonpong, F. Pasemann, and H. Roth, “Modular reactive neurocontrol for biologically-inspired walking machines,” The International Journal of Robotics Research, vol. 26, pp. 301-331, 2007. [ bib \| DOI ]
[10]	A. von Twickel and F. Pasemann, “Reflex-oscillations in evolved single leg neurocontrollers for walking machines,” Natural Computing, vol. 6, no. 3, pp. 311-337, 2007. [ bib \| DOI \| publisher \| pdf \| ]
[11]	P. Manoonpong, F. Pasemann, and H. Roth, “A modular neurocontroller for a sensor-driven reactive behavior of biologically inspired walking machines,” International Journal of Computing, vol. 5, pp. 75-86, 2006. [ bib \| publisher \| pdf ]
[12]	S. Wischmann, M. Hülse, J. Knabe, and F. Pasemann, “Synchronization of internal neural rhythms in multi-robotic systems,” Adaptive Behavior, vol. 14, no. 2, pp. 117-127, 2006. [ bib \| pdf ]
[13]	P. Manoonpong, F. Pasemann, J. Fischer, and H. Roth, “Neural Processing of Auditory Signals and Modular Neural Control for Sound Tropism of Walking Machines,” International Journal of Advanced Robotic Systems, vol. 2, no. 2, pp. 223-235, 2005. [ bib \| pdf ]
[14]	M. Hülse, S. Wischmann, and F. Pasemann, “Structure and function of evolved neuro-controllers for autonomous robots,” Connection Science, vol. 16, no. 4, pp. 249-266, 2004. [ bib \| publisher ]
[15]	F. Pasemann, “Complex dynamics and the structure of small neural networks,” Network: Computation in Neural Systems, vol. 13, pp. 195-216, 2002. [ bib \| publisher \| pdf ]
[16]	F. Pasemann, U. Steinmetz, M. Hülse, and B. Lara, “Robot control and the evolution of modular neurodynamics,” Theory in Biosciences, vol. 120, pp. 311-326, 2001. [ bib \| pdf ]
[17]	T. Wennekers and F. Pasemann, “Generalized types of synchronization in networks of spiking neurons,” Neurocomputing, vol. 38-40, pp. 1037-1042, 2001. [ bib \| pdf ]
[18]	F. Pasemann and Wennekers, “Generalized and partial synchronization of coupled neural networks,” Network: Computation in Neural Systems, vol. 11, pp. 41-61, 2000. [ bib \| pdf ]
[19]	F. Pasemann, “Synchronized chaos and other coherent states for two coupled neurons,” Physica D, vol. 128, pp. 236-249, 1999. [ bib \| pdf ]
[20]	F. Pasemann, “Synchronous and asynchronous chaos in coupled neuromodules,” International Journal of Bifurcation and Chaos, vol. 9, pp. 1957-1968, 1999. [ bib \| pdf ]
[21]	F. Pasemann and T. Wennekers, “Complete synchronization in coupled neuromodules of different types,” Theory in Biosciences, vol. 118, pp. 267-283, 1999. [ bib \| pdf ]
[22]	F. Pasemann, “Structure and dynamics of recurrent neuromodules,” Theory in Biosciences, vol. 117, pp. 1-17, 1998. [ bib \| pdf ]
[23]	F. Pasemann, “Evolving neurocontrollers for balancing an inverted pendulum,” Network: Computation in Neural Systems, vol. 9, pp. 495-511, 1998. [ bib \| pdf ]
[24]	F. Pasemann and N. Stollenwerk, “Attractor switching by neural control of chaotic neurodynamics,” Network: Computation in Neural Systems, vol. 9, pp. 549-561, 1998. [ bib \| pdf ]
[25]	F. Pasemann, “A simple chaotic neuron,” Physica D, vol. 104, pp. 205-211, 1997. [ bib \| pdf ]
[26]	T. Wennekers and F. Pasemann, “Synchronous chaos in highdimensional modular neural networks,” International Journal of Bifurcation and Chaos, vol. 6, pp. 2055-2067, 1996. [ bib \| pdf ]
[27]	F. Pasemann, “Characterization of periodic attractors in neural ring networks,” Neural Networks, vol. 8, pp. 421-429, 1995. [ bib \| pdf ]
[28]	F. Pasemann, “Dynamics of a single model neuron,” International Journal of Bifurcation and Chaos, vol. 2, pp. 271-278, 1993. [ bib \| pdf ]

Conference papers and posters

[1]	H. Toutounji and F. Pasemann, “Autonomous learning needs a second environmental feedback loop,” in K., Dourado, A., Rosa, A., Filipe, J. (Eds.), Computational Intelligence, IJCCI 2013, Revised Selected papers, Springer, to appear, 2014. [ bib ]
[2]	C. W. Rempis, “A neural network to capture demonstrated motions on a humanoid robot to rapidly create complex central pattern generators as reusable neural building blocks,” in Proceedings of the International Conference on Robotics and Automation (ICRA 2013), IEEE, 2013. [ bib ]
[3]	C. Rempis, H. Toutounji, and F. Pasemann, “Controlling the learning of behaviors in the sensorimotor loop with neuromodulators in self-monitoring neural networks.” ICRA Workshop on Autonomous Learning, 2013. [ bib \| pdf ]
[4]	F. Pasemann, “Self-regulating neurons in the sensorimotor loop,” in Advances in Computational Intelligence,LNCS,79, pp. 481-491, Springer, 2013. [ bib ]
[5]	C. Rempis and F. Pasemann, “Evolving variants of neuro-control using constraint masks,” in From Animals to Animats 12 (T. Ziemke, C. Balkenius, and J. Hallam, eds.), vol. 7426 of Lecture Notes in Computer Science, pp. 187-197, Springer Berlin / Heidelberg, 2012. 10.1007/978-3-642-33093-3_19. [ bib \| materials \| pdf \| ]
[6]	A. von Twickel, K. Hellekes, F. Pasemann, and A. Büschges, “Interplay of local and global co-ordination in stick insect walking - an evolutionary robotics approach,” in 9th Göttingen Meeting of the German Neuroscience Society, pp. T21-3B, 2011. [ bib ]
[7]	C. W. Rempis and F. Pasemann, “Search space restriction of neuro-evolution through constrained modularization of neural networks,” in Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP), in Conjunction with ICINCO 2010. (K. Mandai, ed.), (Madeira, Portugal), pp. 13-22, SciTePress, June 2010. [ bib \| pdf ]
[8]	P. Manoonpong, F. Pasemann, C. Kolodziejski, and F. Wörgötter, “Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for Acoustic Signal Recognition in Robots,” Artificial Neural Networks-ICANN 2010, pp. 374-383, 2010. [ bib ]
[9]	C. W. Rempis, V. Thomas, F. Bachmann, and F. Pasemann, “NERD - Neurodynamics and Evolutionary Robotics Development Kit,” in SIMPAR 2010 (N. A. et al., ed.), vol. 6472 of Lecture Notes in Artificial Intelligence, pp. 121-132, Springer, Heidelberg, 2010. [ bib \| html \| pdf \| ]
[10]	P. Manoonpong, F. Wörgötter, and F. Pasemann, “Neural preprocessing of auditory-wind sensory signals and modular neural control for auditory-and wind-evoked escape responses of walking machines,” in Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on, pp. 786-793, IEEE, 2009. [ bib ]
[11]	K. Zahedi, A. von Twickel, and F. Pasemann, “Yars: A physical 3d simulator for evolving controllers for real robots,” in Simulation, Modeling and Programming for Autonomous Robots (SIMPAR 2008) (S. Carpin, I. Noda, E. Pagello, M. Reggiani, and O. von Stryk, eds.), vol. 5325 of LNAI, pp. 75-86, Springer, 2008. [ bib \| DOI \| pdf \| ]
[12]	M. Hülse, S. Wischmann, A. von Twickel, P. Manoonpong, and F. Pasemann, “Dynamical systems in the sensorimotor loop,” in 50 Years of AI, Festschrift (M. Lungarella, F. Iida, J. Bongard, and R. Pfeifer, eds.), vol. 4850 of Lecture Notes in Artificial Intelligence (LNAI), (Berlin Heidelberg), pp. 186 - 195, Springer Verlag, 2007. [ bib ]
[13]	M. Hild and F. Pasemann, “Self-adjusting ring modules (sarms) for flexible gait pattern generation,” in Proceedings IJCAI'07, pp. 848-852, 2007. [ bib ]
[14]	P. Manoonpong, F. Pasemann, and F. Wörgötter, “Reactive neural control for phototaxis and obstacle avoidance behavior of walking machines,” in Proceedings of World Academy of Science, Engineering and Technology (PWASET), International conference on Intelligent systems (ICIS 2007), vol. 26, (Bankok, Thailand December 20-22, 2007), 2007. ISSN: 1307-6884. [ bib ]
[15]	M. Negrello and F. Pasemann, “Transients of active tracking: A stroll in attractor spaces,” in Advances in Artificial Life - ECAL 2007 (F. A. e Costa et al., ed.), vol. 4648 of LNAI, (Berlin), pp. 1006 - 1015, Springer, 2007. [ bib ]
[16]	S. Wischmann, F. Pasemann, and F. Wörgötter, “Cooperation and competition: Neural mechanisms of evolved communication systems,” in Workshop on The Emergence of Social Behaviour: From Cooperation to Language pattern - ECAL07, 2007. CD-ROM. [ bib ]
[17]	K. Zahedi and F. Pasemann, “Adaptive behavior control with self-regulating neurons,” in 50 Years of AI (M. Lungarella, F. Iida, J. Bongard, and R. Pfeifer, eds.), vol. 4850 of LNAI, (Berlin Heidelberg), pp. 196 - 205, Springer Verlag, 2007. [ bib ]
[18]	A. von Twickel, M. Hild, T. Siedel, and F. Pasemann, “Octavio: Autonomous legs for a reconfigurable walking machine,” in HLR 2006, French-German Workshop on Humanoid and Legged Robots (C. Simonidis, ed.), (Karlsruhe), September 2006. [ bib \| conference ]
[19]	M. Hülse, K. Zahedi, S. Wischmann, and F. Pasemann, “In the search of principles underlying cognitive phenomena,” in Proceedings of the 50th Anniversary Summit of Artificial Intelligence ASAI50, (Conference: Monte Verita, Ascona, Switzerland), July 9-14 2006. [ bib \| pdf ]
[20]	F. Pasemann, “Formalizing emergence to accelerate the accretion of embodied intelligence,” in Proceedings of the ASAI50, (Conference: Monte Verita, Ascona, Switzerland), July 9-14 2006. [ bib \| pdf ]
[21]	P. Manoonpong, F. Pasemann, and H. Roth, “A modular neurocontroller for a sensor-driven reactive behavior of biologically inspired walking machines,” in Proceedings of the fourth International Conference on Neural Networks and Artificial Intelligence (ICNNAI'2006), (Conference: Brest, Belarus), May 31-June 2 2006. [ bib \| pdf ]
[22]	M. Hülse and F. Pasemann, “Modular design of irreducible systems,” in From animals to Animats 9. 9th International Conference on Simulation of Adaptive Behavior, SAB 2006 (S. e. a. Nolfi, ed.), no. 4095 in LNAI, (Berlin), pp. 534-545, Springer-Verlag, 2006. [ bib \| publisher \| pdf ]
[23]	A. von Twickel and F. Pasemann, “Adaptive behaviour of single legs with evolved neural control,” in Dynamical principles for neuroscience and intelligent biomimetic devices (A. J. Ijspeert, J. Buchli, A. Selverston, M. Rabinovich, M. Hasler, W. Gerstner, A. Billard, H. Markram, and D. Floreano, eds.), pp. 137-138, EPFL, 2006. ISBN 978-2-8399-0134-5. [ bib \| conference ]
[24]	S. Wischmann and F. Pasemann, “The emergence of communication by evolving dynamical systems,” in From animals to Animats 9. 9th International Conference on Simulation of Adaptive Behavior, SAB 2006 (S. e. a. Nolfi, ed.), no. 4095 in LNAI, (Berlin), pp. 777-788, Springer-Verlag, 2006. [ bib \| publisher \| pdf ]
[25]	M. Hülse, S. Wischmann, and F. Pasemann, “The role of non-linearity for evolved multifunctional robot behavior,” in ICES 2005, Evolvable systems: From biology to hardware (J. M. Moreno, J. Madrenas, and J. Cosp, eds.), no. 3637 in LNCS, pp. 108-118, 2005. [ bib \| pdf ]
[26]	P. Manoonpong and F. Pasemann, “Advanced Mobility Sensor driven- Walking Device02 (AMOS-WD02),” in Proceedings of the Third International Symposium on Adaptive Motion in Animals and Machines, Robot data sheet, (Ilmenau), ISLE Verlag, 2005. [ bib \| pdf ]
[27]	P. Manoonpong, F. Pasemann, and J. Fischer, “Modular neural control for a reactive behavior of walking machines,” in Proceedings of the 6th IEEE Symposium on Computational Intelligence in Robotics and Automation, (CIRA2005), (Helsinki University of Technology, Finland), pp. 403-408, 2005. 27 - 30 June. [ bib \| pdf ]
[28]	A. von Twickel and F. Pasemann, “Evolved neural reflex-oscillators for walking machines,” Lecture Notes in Computer Science, vol. 3561, pp. 376-385, 2005. [ bib \| publisher \| pdf ]
[29]	S. Wischmann, M. Hülse, and F. Pasemann, “(co)Evolution of (De)centralized Neural Control for a Gravitationally Driven,” in ECAL 2005 (M. et al., ed.), vol. 3630, pp. 179-188, LNAI, 2005. [ bib \| pdf ]
[30]	J. Fischer, F. Pasemann, and P. Manoonpong, “Neuro-Controllers for Walking Machines - An Evolutionary Approach to Robust Behavior,” in CLAWAR 2004 (M. Armada and P. G. de Santos, eds.), pp. 97-102, 2004. [ bib ]
[31]	M. Hülse and F. Pasemann, “Expansion of Neuro-Modules by Structure Evolution,” in SOAVE 2004 (H. Gross, K. Debes, and H. Boehme, eds.), no. 743 in Fortschritt-Berichte VDI, pp. 135-145, 2004. [ bib \| pdf ]
[32]	B. Klaassen, K. Zahedi, and F. Pasemann, “A Modular Approach to Construction and Control of Walking Robots,” in Robotik 2004: Leistungsstand, Anwendungen, Visionen, Trends, no. 1841 in VDI-Berichte, pp. 633-640, 2004. [ bib \| pdf ]
[33]	P. Manoonpong, F. Pasemann, and J. Fischer, “Neural Processing of Auditory-tactile Sensor Data to Perform Reactive Behavior of Walking Machines,” in Proceedings of the IEEE MechRob2004. CD-ROM, pp. 189-194, 2004. [ bib \| pdf ]
[34]	S. Wischmann and F. Pasemann, “From Passive to Active Dynamic 3D Bipedal Walking - An Evolutionary Approach,” in CLAWAR 2004, pp. 737-744, 2004. [ bib ]
[35]	K. Zahedi, M. Hülse, and F. Pasemann, “Evolving neurocontrollers in the robocup domain,” in Robotik 2004. Leistungsstand, Anwendungen, Visionen, Trends, no. 1841 in VDI-Berichte, pp. 63-70, 2004. [ bib \| pdf ]
[36]	M. Hülse, K. Zahedi, and F. Pasemann, “Representing robot-environment interactions by dynamical features of neuro-controllers,” in Anticipatory Behavior in Adaptive Learning Systems, LNAI 2684 (M. Butz, O. Sigaud, and P. Gérard, eds.), (Berlin), pp. 222-242, Springer, 2003. [ bib \| pdf ]
[37]	F. Pasemann, M. Hülse, and K. Zahedi, “Evolved neurodynamics for robot control,” in European Symposium on Artificial Neural Networks'2003 (M. Verleysen, ed.), pp. 439-444, D-side publications, 2003. [ bib \| pdf ]
[38]	F. Pasemann, M. Hild, and K. Zahedi, “So(2)-networks as neural oscillators,” in Computational Methods in Neural Modeling, Proceedings IWANN 2003, LNCS 2686 (J. Mira and J. R. Alvarez, eds.), Berlin, Springer, 2003. [ bib ]
[39]	R. Breithaupt, J. Dahnke, K. Zahedi, J. Hertzberg, and F. Pasemann, “Robo-salamander: an approach for the benefit of both robotics and biology,” in 5th International Conference on Climbing and Walking Robots (P. Bedaud, ed.), pp. 55 - 62, 2002. [ bib \| pdf ]
[40]	M. Hülse and F. Pasemann, “Dynamical neural schmitt trigger for robot control,” in Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002. Proceedings. LNCS 2415 (J. Dorronsoro, ed.), (Berlin), pp. 783-788, Springer Verlag, 2002. [ bib \| pdf ]
[41]	M. Hülse, B. Lara, F. Pasemann, and U. Steinmetz, “Evolving neural behavior control for autonomous robots,” in Proceedings International Conference on Artificial Neural Networks (ICANN 2001), LNCS 2130, (Berlin), pp. 957-962, Springer Verlag, 2001. [ bib ]
[42]	B. Lara, M. Hülse, and F. Pasemann, “Evolving different neuro-modules and their interfaces to control autonomous robots,” in Proceedings The 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2001), July 22-25, 2001, Orlando, Florida USA, pp. 259-264, 2001. [ bib \| pdf ]
[43]	F. Pasemann, U. Steinmetz, M. Hülse, and B. Lara, “Evolving brain structures for robot control,” in Bio-Inspired Applications of Connectionism, Proceedings IWANN 2001, LNCS 2085 (J. Mira and A. Prieto, eds.), (Berlin), pp. 410-417, Springer Verlag, 2001. [ bib \| pdf ]
[44]	R. Der, U. Steinmetz, and F. Pasemann, “Homeokinesis - a new principle to back up evolution with learning,” in Computational Intelligence for Modelling, Control, and Automation, Concurrent Systems Engineering Series Vol. 55, Proceedings, CIMCA' 99, Vienna, February 17-19, 1999 (M. Mohammadian, ed.), pp. 43-47, IOS Press, 1999. [ bib \| pdf ]
[45]	F. Pasemann, “Driving neuromodules into synchronous chaos,” in Foundations and Tools for Beural Modeling, IWANN'99, Alicante, June 2-4, Proceedings, Vol. I, LNCS 1606 (J. Mira and Sanchez-Andres, eds.), pp. 377-384, 1999. [ bib \| pdf ]
[46]	F. Pasemann, “Synchronizing chaotic neuromodules,” in European Symposium on Artificial Neural Networks, ESANN'99, Bruges, April 21-23, 1999, Proceedings (M. Verleysen, ed.), pp. 1-6, D-Facto, 1999. [ bib \| pdf ]
[47]	F. Pasemann, “Synchronized chaos in coupled neuromodules of different types,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN'99), Washington, (Piscataway), IEEE-CD, 1999. [ bib \| pdf ]
[48]	F. Pasemann, U. Dieckmann, and U. Steinmetz, “Evolving structure and function of neurocontrollers,” in Proceedings of the 1999 Congress on Evolutionary Computation, Washington, July 6-9, (Piscataway), pp. 1937-1978, IEEE Press, 1999. [ bib \| pdf ]
[49]	F. Pasemann, “Pole-balancing with different evolved neurocontrollers,” in Artificial Neural Networks - ICANN'97, October 7-10, Lausanne, Switzerland, Proceedings, LNCS 1327 (W. Gerstner, A. Germond, M. Hasler, and J.-D. Nicoud, eds.), (Berlin), pp. 823-829, Springer, 1997. [ bib \| pdf ]
[50]	F. Pasemann and U. Dieckmann, “Evolved neurocontrollers for pole-balancing,” in Biological and Artificial Computation: From Neuroscience to Technology, Proceedings IWANN'97, Lanzarote, Canary Islands, Spain, June 1997 (J. C. J. Mira, R. Moreno-Diaz, ed.), pp. 1279-1287, 1997. [ bib \| pdf ]
[51]	N. Stollenwerk and F. Pasemann, “Switching in self-controlled chaotic neuromodules,” in World Congress on Neural Networks, San Diego, California, Sept. 15-18, 1996, (New Jersey), pp. 680-684, INNS Press and Lawrence Erlbaum, 1996. [ bib \| pdf ]

BSc, MSc and PhD Theses

[1]	J. Marquardt, “Aspects of classical conditioning in the sensorimotor loop,” Bachelor's thesis, University of Osnabrück, May 2013. [ bib ]
[2]	J. Behr, “Analysis of the neural dynamics of evolved walking behaviors,” Bachelor's thesis, University of Osnabrück, January 2013. [ bib ]
[3]	C. W. Rempis, Evolving Complex Neuro-Controllers with Interactively Constrained Neuro-Evolution. PhD thesis, Osnabrück University, October 2012. [ bib \| html \| pdf \| ]
[4]	H. Gräuler, “Hierarchical neural control of a humanoid robot arm in the sensorimotor loop,” Master's thesis, University of Osnabrück, May 2011. [ bib ]
[5]	S. Ludwig, “Performance evaluation of modular crossover for the neuro-evolution method ICONE,” Bachelor's thesis, University of Osnabrück, April 2011. [ bib ]
[6]	J. Merkel, “A multimodal stabilization for humanoid upright standing,” Bachelor's thesis, University of Osnabrück, April 2011. [ bib ]
[7]	A. von Twickel, Embodied Modular Neural Control of Walking in Stick Insects - From Biological Models to Evolutionary Robotics. PhD thesis, University of Cologne, Germany, March 2011. [ bib \| pdf ]
[8]	T. Faber, “Visualization of neurodynamical properties for an evolutionary robotics environment,” Bachelor's thesis, University of Osnabrück, November 2010. [ bib ]
[9]	D. Menze, “Evolutionary sound matching using artificial neural networks,” Bachelor's thesis, University of Osnabrück, 2010. [ bib ]
[10]	C. Reinke, “Automated identification of motor models for a humanoid robot,” Bachelor's thesis, University of Osnabrück, December 2009. [ bib ]
[11]	M. J. Negrello, Invariants of Behavior - Constancy and Variability in Neural Systems. PhD thesis, Universität Osnabrück, 2009. [ bib ]
[12]	T. Siedel, “Entwicklung eines elektromechanischen Antriebssystems für Gehroboter in Anlehnung an biologische Prinzipien,” Diplomarbeit, Rheinische Fachhochschule Köln, 2009. [ bib ]
[13]	J. Schumacher, “Reflex oscillation in the sensorimotor loop of walking machines,” Bachelor's thesis, University of Osnabrück, September 2008. [ bib ]
[14]	P. Benner, “Phase relations of coupled oscillatory neural networks and applications in walking machines,” Bachelor's thesis, University of Osnabrück, June 2008. [ bib ]
[15]	M. Hild, Neurodynamische Module zur Bewegungssteuerung Autonomer Mobiler Roboter. PhD thesis, Humboldt-Universität zu Berlin, 2008. [ bib ]
[16]	N. Mühleis, “Firmware für das verteilte Multiprozessorsystem des modularen Laufroboters ”Octavio”,” Diplomarbeit, Universität Oldenburg, Dezember 2008. [ bib ]
[17]	V. Patel, “Neuro-control in the sensorimotor loop: Multi-modal motor control for a modular walking machine,” Master's thesis, Fachhochschule Bonn-Rhein-Sieg, 2008. [ bib ]
[18]	V. Thomas, “Evolution einer kamerabasierten neurokontrolle autonomer roboter unter berücksichtigung der eigenbewegung,” Master's thesis, Rheinische Friedrich-Wilhelms-Universität, 2008. [ bib ]
[19]	S. Wischmann, Neural dynamics of social behavior: An evolutionary and mechanistic perspective on communication, cooperation, and competition among situated agents. PhD thesis, University of Bonn, Germany, 2008. [ bib \| pdf ]
[20]	A. Chakraborty, “Neuro-controllers for single leg using torque driven motor system,” Master's thesis, University of Applied Sciences Bonn-Rhein-Sieg, December 2007. [ bib ]
[21]	C. W. Rempis, “Short-term memory structures in additive recurrent neural networks,” Master's thesis, University of Applied Sciences Bonn-Rhein-Sieg, 2007. [ bib \| pdf ]
[22]	M. Hülse, Multifunktionalität rekurrenter neuronaler Netze: Synthese und Analyse nichtlinearer Kontrolle autonomer Roboter. PhD thesis, University of Osnabrück, Germany, 2006. [ bib \| pdf ]
[23]	P. Manoonpong, Neural preprocessing and control of reactive walking machines. PhD thesis, University of Siegen, Germany, 2006. [ bib ]
[24]	J. Fischer, A modulatory learning rule for neural learning and metalearning in real world robots with many degrees of freedom. No. 3 in Fraunhofer series in information and communication technology 2004, Shaker, Aachen, 2004. PhD thesis. [ bib ]
[25]	M. Rosemann, “Visualisierung der aktivität von neurokontrollern auf autonomen mobilen robotern,” Master's thesis, Fachhochschule Oldenburg/Ostfriesland/Wilhelmshaven, Emden, Germany, 2004. [ bib ]
[26]	K. Rupprecht, “Entwicklung eines gelenkelementes einer laufmaschine,” Master's thesis, Rheinische Fachhochschule Köln, 2004. [ bib ]
[27]	A. von Twickel, “Obstacle perception by scorpions and robots - From biology to robotics via physical simulation and evolving neural networks,” Diplomarbeit, Universität Bonn, 2004. [ bib \| pdf ]
[28]	S. Wischmann, “Entwicklung der Morphologie und Steuerung eines zweibeinigen Laufmodells,” Diplomarbeit, Universität des Saarlandes, 2003. [ bib ]

non-refereed publications

[1]	H. Toutounji and F. Pasemann, “Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons,” Frontiers in Neurorobotics, vol. 8, no. 19, 2014. [ bib \| DOI \| ]
[2]	C. W. Rempis, M. Hild, and F. Pasemann, “Enhancing the neuro-controller design process for the myon humanoid robot,” technical report, Technical Report, University of Osnabrück, Germany, urn:nbn:de:gbv:700-2013071711000, June 2013. [ bib \| pdf \| ]
[3]	C. W. Rempis, H. Toutounji, and F. Pasemann, “Evaluating neuromodulator-controlled stochastic plasticity for learning recurrent neural control networks,” in Proceedings of the 5th International Joint Conference on Computational Intelligence, pp. 489-496, 2013. [ bib \| DOI ]
[4]	F. Pasemann, K. Zahedi, and M. Rohde, “Adaptive Behaviour Control by Self-regulating Neurons,” MPI-MIS-Preprint, vol. 55, p. unknown, 2004. [ bib ]
[5]	K. Zahedi, M. Hülse, and F. Pasemann, “Evolution nicht-linearer kontroller für mobile roboter in dynamischen umgebungen,” Automatisierungstechnische Praxis atp, vol. (2004), no. 10, pp. 97-100, 2004. [ bib \| pdf ]
[6]	F. Pasemann and U. Dieckmann, “Balancing rotators with evolved neurocontrollers,” MIS-MPG-preprint, vol. 97/37, 1997. [ bib \| pdf ]
[7]	F. Pasemann, Interne Repräsentationen - Neue Konzepte der Hirnforschung, ch. Repräsentation ohne Repräsentation - Überlegungen zu einer Neurodynamik modularer kognitiver Systeme. Frankfurt: Suhrkamp, 1996. [ bib \| pdf ]

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