Predicting adaptive behavior in the environment from central nervous system dynamics.

ABSTRACT: To generate adaptive behavior, the nervous system is coupled to the environment. The coupling constrains the dynamical properties that the nervous system and the environment must have relative to each other if adaptive behavior is to be produced. In previous computational studies, such constraints have been used to evolve controllers or artificial agents to perform a behavioral task in a given environment. Often, however, we already know the controller, the real nervous system, and its dynamics. Here we propose that the constraints can also be used to solve the inverse problem--to predict from the dynamics of the nervous system the environment to which they are adapted, and so reconstruct the production of the adaptive behavior by the entire coupled system. We illustrate how this can be do

SUBMITTER: Proekt A 

PROVIDER: S-EPMC2576442 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature