Simulation of chaotic EEG patterns with a dynamic model of the olfactory system
Biological Cybernetics
Effects of applied electric current fields on cortical neural activity
Computational neuroscience
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Parameter optimization in models of the olfactory neural system
Neural Networks
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Catching Ourselves in the Act: Situated Activity, Interactive Emergence, Evolution, and Human Thought
Model-based learning for mobile robot navigation from the dynamicalsystems perspective
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Intelligent behavior is characterized by flexible and creative pursuit of endogenously defined goals. It has emerged in humans through the stages of evolution that are manifested in the brains and behaviors of other vertebrates. Perception is a key concept by which to link brain dynamics to goal-directed behavior. This archetypal form of intentional behavior is an act of observation into time and space, by which information is sought to guide future action, and by which the perceiver modifies itself through learning from the sensory consequences of its own actions. Chaotic brain dynamics creates the goals, expresses them by means of behavioral actions, and defines the meaning of the requested information. These acts include the making of representations (e.g. numbers, words, graphs, sounds, gestures) for communication to other brains in validation and coordination of experience. The failure of artificial intelligence to achieve its stated aims can be attributed to taking too literally these man-made descriptive representations as the tokens of brain action, whereas in brains there is no information, only dynamic flows and operators.