Beyond control: The dynamics of brain-body-environment interaction in motor systems

Advances in Experimental Medicine and Biology

Volumn 629, Issue , 2009, Pages 7-24

  Beer, Randall D ^a  

^a INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; BIOMECHANICS; BODY MOVEMENT; BODY POSTURE; BRAIN FUNCTION; CHEMICAL ANALYSIS; ENVIRONMENTAL FACTOR; FEEDBACK SYSTEM; FUNCTIONAL ASSESSMENT; INTERNEURON; LOCOMOTION; MOTONEURON; MOTOR CONTROL; MOTOR COORDINATION; NERVOUS SYSTEM PARAMETERS; NEUROANATOMY; NEUROBIOLOGY; NEUROCHEMISTRY; PRIORITY JOURNAL; STANDING; TASK PERFORMANCE; WALKING; ALGORITHM; ANIMAL; BRAIN; ENVIRONMENT; EVOLUTION; HUMAN; MOTOR ACTIVITY; NERVE CELL NETWORK; PHYSIOLOGY; REVIEW;

HEXAPODA;

ALGORITHMS; ANIMALS; BIOMECHANICS; BRAIN; ENVIRONMENT; EVOLUTION; HUMANS; MODELS, NEUROLOGICAL; MOTOR ACTIVITY; NERVE NET; WALKING;

EID: 61949204419     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-77064-2_2     Document Type: Article

References (31)

1. Bäck, T. (1996). Evolutionary Algorithms in Theory and Practice. Oxford University Press.
2. Beer, R. D. (1990). Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology. Academic Press.
3. Beer, R. D. (1995a). A dynamical systems perspective on agent-environment interaction. Artificial Intelligence 72:173-215.
4. Beer, R. D. (1995b). On the dynamics of small continuous-time recurrent neural networks. Adaptive Behavior 3:469-509. (Pubitemid 126020699)
5. Beer, R. D. (1996). Toward the evolution of dynamical neural networks for minimally cognitive behavior. In P. Maes, M. Mataric, J. A. Meyer, J. Pollack and S. Wilson (Eds.), From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior (pp. 421-429). MIT Press.
6. * Beer, R. D. (1997). The dynamics of adaptive behavior: A research program. Robotics and Autonomous Systems 20:257-289. (Pubitemid 127399448)
7. Beer, R. D. (2006). Parameter space structure of continuous-time recurrent neural networks. Neural Computation 18:3009-3051. (Pubitemid 44879151)
8. Beer, R. D., Chiel, H. J. and Gallagher, J. C. (1999). Evolution and analysis of model CPGs for walking II. General principles and individual variability. Journal of Computational Neuroscience 7:119-147. (Pubitemid 29433534)
9. Beer, R. D. and Gallagher, J. C. (1992). Evolving dynamical neural networks for adaptive behavior. Adaptive Behavior 1:91-122.
10. Brooks, R. A. (1991). New approaches to robotics. Science 253:1227-1232.
11. * Chiel, H. J. and Beer, R. D. (1997). The brain has a body: Adaptive behavior emerges from interactions of nervous system, body and environment. Trends in Neurosciences 20:553-557. (Pubitemid 27508963)
12. Chiel, H. J., Beer, R. D. and Gallagher, J. C. (1999). Evolution and analysis of model CPGs for walking I. Dynamical modules. Journal of Computational Neuroscience 7:99-118. (Pubitemid 29433533)
13. Clark, A. (1997). Being There: Putting Brain, Body and World Together Again. MIT Press.
14. Cliff, D., Harvey, I. and Husbands, P. (1993). Explorations in evolutionary robotics. Adaptive Behavior 2:73-110.
15. Gallagher, J. C., Beer, R. D., Espenschied, K. S. and Quinn, R. D. (1996). Applications of evolved locomotion controllers to a hexapod robot. Robotics and Autonomous Systems 19(1):95-103. (Pubitemid 126371856)
16. Gibson, J. J. (1979). The Ecological Approach to Visual Perception. Lawrence Erlbaum.
17. * Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley.
18. Goldman, M. S., Golowasch, J., Marder, M. and Abbott, L. F. (2001). Global structure, robustness and modulation of neuronal models. Journal of Neuroscience 21:5229-5238. (Pubitemid 32622948)
19. Golowasch, J., Goldman, M. S., Abbott, L. F. and Marder, E. (2002). Failure of averaging in the construction of a conductance-based neural model. Journal of Neurophysiology 87:1129-1131. (Pubitemid 34670875)
20. Haschke, R. and Steil, J. J. (2005). Input space bifurcation manifolds of recurrent neural networks. Neurocomputing 64C:25-38. (Pubitemid 40425310)
21. Kier, R. J., Ames, J. C., Beer, R. D., and Harrison, R. R. (2006). Design and implementation of multipattern generators in analog VLSI. IEEE Transactions on Neural Networks 17(4):1025-1038. (Pubitemid 44194160)
22. Kimura, M. and Nakano, R. (1998). Learning dynamical systems by recurrent neural networks from orbits. Neural Networks 11:1589-1599. (Pubitemid 29030320)
23. Mathayomchan, B. and Beer, R. D. (2002). Center-crossing recurrent neural networks for the evolution of rhythmic behavior. Neural Computation 14:2043-2051.
24. * Mitchell, M. (1996). An Introduction to Genetic Algorithms. MIT Press.
25. * Nolfi, S. and Floreano, D. (2000). Evolutionary Robotics. MIT Press.
26. Prinz, A. A., Bucher, D. and Marder, E. (2004). Similar network activity from disparate circuit parameters. Nature Neuroscience 7:1345-1352. (Pubitemid 41057757)
27. Psujek, S., Ames, J. and Beer, R. D. (2006). Connection and coordination: The interplay between architecture and dynamics in evolved model pattern generators. Neural Computation 18:729-747. (Pubitemid 43543837)
28. Seys, C. W. and Beer, R. D. (2004). Evolving walking: The anatomy of an evolutionary search. In S. Schaal, A. Ijspeert, A. Billard, S. Vijayakumar, J. Hallam and J.-A. Meyer (Eds.), From Animals to Animats 8: Proceedings of the Eighth International Conference on the Simulation of Adaptive Behavior (pp. 357-363). MIT Press.
29. Synder, V. (2005). Analysis of the Biomechanics and Neural Control of Two Kinetic Models of the Buccal Mass of Aplysia. M. S. Thesis (Advisor: Hillel Chiel), Dept. of Biology, Case Western Reserve University.
30. Thelen, E. and Smith, L. B. (1994). A Dynamic Systems Approach to the Development of Perception and Action. MIT Press.
31. Winters, J. M. and Crago, P. E. (Eds.). (2000). Biomechanics and Neural Control of Posture and Movement. Springer.