Timescale and stability in adaptive behaviour

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3630 LNAI, Issue , 2005, Pages 292-301

  Buckley, Christopher L ^a   Bullock, Seth ^a   Cohen, Netta ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; BEHAVIORAL RESEARCH; BIODIVERSITY; FUNCTIONAL NEURAL STIMULATION; HUMAN COMPUTER INTERACTION; NEURAL NETWORKS; NEUROLOGY; RESEARCH AND DEVELOPMENT MANAGEMENT;

ADAPTIVE BEHAVIOR; ADAPTIVE BEHAVIOR RESEARCH; NEUROMODULATORY CHEMICALS; NEUROSCIENCE;

BIOMECHANICS;

EID: 33645983606     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11553090_30     Document Type: Conference Paper

References (28)

1. Kauffman, S.: The Origins of Order. Oxford University Press, Oxford (1993)
2. Gershenson, C.: Classification of random Boolean networks. In Standish, R.K., Bedau, M.A., Abbass, H.A., eds.: Artificial Life VIII: Proceedings of the Eight International Conference on Artificial Life, MIT Press (2002) 1-8
3. Beer, R.D.: On the dynamics of small continuous-time recurrent neural networks. Adaptive Behavior 3 (1995) 471-511
4. Di Paolo, E.A.: Searching for rhythms in asynchronous Boolean networks. In Bedau, M.A., McCaskill, J.S., Packard, N.H., Rasmussen, S., eds.: Seventh International Conference on Artificial Life, MIT Press, Cambridge, MA (2000)
5. Poggio, T.A., Glaser, D.A., eds.: Exploring Brain Functions: Models in Neuroscience. John Wiley and Sons, New York (1993)
6. Katz, P.S., ed.: Beyond Neurotransmission: Neuromodulation and its Importance for Information Processing. Oxford University Press, Oxford (1999)
7. Turrigiano, G.G.: Homeostatic plasticity in neuronal networks: The more things change, the more they stay the same. Trends in Neuroscience 22 (1999) 221-227
8. Doya, K.: Metalearning and neuromodulation. Neural Networks 15 (2002) 495-506
9. Williams, H.: Homeostatic plasticity in recurrent neural networks. In Schaal, S., Ijspeert, A., Billard, A., Vijayakumar, S., Hallam, J., Meyer, J.A., eds.: Eighth International Conference on the Simulation of Adaptive Behavior, MIT Press, Cambridge, MA (2004) 344-353
10. Husbands, P., Philippides, A., Smith, T.M.C., O'Shea, M.: The shifting network: Volume signalling in real and robot nervous systems. In Kelemen, J., Sosik, P., eds.: Sixth European Conference on Artificial Life, Springer, Heidelberg (2001) 23-36
11. Philippides, A.O., Husbands, P., Smith, T.M.C., O'Shea, M.: Fast and loose: Biologically inspired couplings. In Standish, R.K., Bedau, M.A., Abbass, H.A., eds.: Eighth International Conference on Artificial Life, MIT Press, Cambridge, MA (2002) 292-301
12. Smith, T.M.C., Husbands, P., Philippides, A.O., O'Shea, M.: Neuronal plasticity and temporal adaptivity: GasNet robot control networks. Adaptive Behavior 10 (2002) 161-184
13. Smith, T.M.C., Husbands, P., O'Shea, M.: Not measuring evolvability: Initial exploration of an evolutionary robotics search space. In: Congress on Evolutionary Computation. IEEE Press (2001) 9-16
14. Buckley, C., Bullock, S., Cohen, N.: Toward a dynamical systems analysis of neuromodulation. In Schaal, S., Ijspeert, A.J., Vijayakumar, A.B.S., Hallam, J., Meyer, J.A., eds.: Eighth International Conference on Simulation of Adaptive Behavior, MIT Press, Cambridge, MA (2004) 334-343
15. Hooper, S.L.: Neural circuits: Functional reconfiguration. In: Nature Encyclopedia of Life Science, Nature Publishing Group, London (2001)
16. Harvey, I., Thompson, A.: Through the labyrinth evolution finds a way: A silicon ridge. In Higuchi, T., Iwata, M., Weixin, L., eds.: First International Conference on Evolvable Systems, Springer-Verlag, Heidelberg (1997) 406-422
17. Strogatz, S.H.: Nonlinear Dynamics & Chaos. Addison-Wesley, Reading MA (1994)
18. Gardner, M.R., Ashby, W.R.: Connectance of large dynamic (cybernetic) systems: Critical values for stability. Nature 228 (1970) 784-784
19. McCann, K.S.: The diversity-stability debate. Nature 405 (2000) 228-233
20. May, R.M.: Will a large complex system be stable. Nature 238 (1972) 413-414
21. Mehta, M.L.: Random Matrices. Academic Press, New York (1967)
22. Wigner, E.P.: Gruppentheorie und Ihre Anwendung auf die Quantenmechanik der Atomspektren, trans. J. J. Griffin. Academic Press, New York (1959)
23. Sinha, S., Sinha, S.: Evidence of universality for the May-Wigner stability theorem for random networks with local dynamics. Phy. Rev. Let. E 71 (2005) 1-4
24. Jirsa, V.K., Ding, M.: Will a large complex system with time delays be stable. Physical Review Letters 93 (2004) 070602
25. Ashby, W.R.: Design for a Brain. Chapman and Hall, London (1960)
26. Simon, H.A.: The Sciences of the Artificial. MIT Press, Cambridge, MA (1969)
27. Tononi, G., Edelman, G., Sporns, O.: Complexity and coherency: integrating information in the brain. Trends in Cognitive Sciences 2 (1998) 474-483
28. Watson, R.A.: Modular interdependency in complex dynamical systems. In Bilotta, E., ed.: Workshop Proceedings of Alife VIII, MIT Press, Cambridge, MA (2003)