Invited Symposium: Nonlinear Dynamical Systems in Psychiatry
Abstract
Introduction
Materials & Methods
Results
Discussion & Conclusion
References
Discussion Board
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A Dynamical Analysis of Action Selection in the Laboratory Mouse
Contact Person: Agnes Guillot (Agnes.Guillot@lip6.fr)
References
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- Rachlin, H. (1989). Judgment, Decision and Choice: A Cognitive / Behavioral Synthesis. W.H. Freeman.
- Tyrrell, T. (1993). Computational mechanisms for action selection. PhD Thesis, University of Edinburgh, U.K.
- Guillot, A., & Meyer, J.A. (1995). A functional analysis of ultradian activity in
laboratory mice. Ethology, Ecology & Evolution. 7, 205-219.
- Guillot, A., & Meyer, J.A. (1997). A cost-benefit analysis of behavioural sequence
organization in laboratory mice. Ethology, Ecology & Evolution. 9, 119-132.
- Sugihara, G., & May, R.M. (1990). Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature. 344, 734-741.
- Kennel, M.B., & Isabelle, S. (1992). Method to distinguish possible chaos from colored noise
and to determine embedding parameters. Physical Review A. 46(6), 3111-3118.
- Le Magnen, J. (1985). Hunger. Cambridge: Cambridge University Press.
- McFarland, D., & Bösser, T. (1993). Intelligent Behavior in Animals and Robots. Cambridge: The MIT Press.
- Guastello, S.J. (1995). Chaos, Catastrophe, and Human affairs. Applications of Nonlinear
Dynamics to Work, Organizations, and Social Evolution. Mahwah, NJ: Laurence Erlbaum
Associates.
- Kelso, J.A.S. (1995). Dynamic patterns: the self-organization of brain and behavior.Cambridge: The MIT Press.
- Skarda, C.A., & Freeman, W.J. (1987). How brains make chaos in order to make sense of the
world. Behavioral and Brain Sciences. 10, 161-195.
- Guillot, A., & Meyer, J.A. (1998). Synthetic animals in synthetic worlds. In Kuunii, T.L.
& Luciani, A. (Eds). Cyberworlds (pp.111-123). Tokyo: Springer-Verlag.
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