Chaotic Information Processing in the Brain

Kunihiko Kaneko and Ichiro Tsuda
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Kunihiko Kaneko: University of Tokyo, Department of Pure and Applied Sciences
Ichiro Tsuda: Hokkaido University, Department of Mathematics Graduate School of Science

Chapter 6 in Complex Systems: Chaos and Beyond, 2001, pp 191-236 from Springer

Abstract: Abstract Let us call a machine involving simple stimulus-response rules a Cartesian automaton, and call a Cartesian automaton possessing a control system including feedback systems a Craik automaton [Johnson-Laird 1983]. By the studies of Karl von Frish, it turned out that a honey bee calculates the positions of flowers in relation to the position of the sun, and correctly sends such information to other bees. This seems to be a kind of sophisticated information processing, but its processing mechanism is essentially the same as that of a Craik automaton. The reason is as follows. Once the control system is set up, it performs correct calculations and outputs the results correctly, based on the present state and the purpose. In other words, the same result is output, provided the conditions are the same.

Keywords: Light Emit Diode; Lyapunov Exponent; Memory State; Large Lyapunov Exponent; Capillary Vessel (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1007/978-3-642-56861-9_6

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