A new criterion for simplification of generating partitions is described which uses the rules of symbolic dynamics. Calculations in the frame of this systematic method are based on algebraic symbol manipulations without consideration of the attractor geometry. Applying this method to two-dimensional He'non maps, a new, simple binary partition has been found with the standard parameter values. It is proposed to implement the simplification method as neural networks, and it is assumed that such implementation is realized by neocortical pyramidal cells in the cortex of animals. (WEN)SIGLEAvailable from TIB Hannover: RA 831(3021) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman
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This paper is motivated by two aims. Firstly, we want to describe a method for simulations of two-di...
When learning a complex task our nervous system self-organizes large groups of neurons into coheren...
In this work, we present a modern neural network construction method able to build approximations to...
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The paper is focused on how chaotic patterns, occurring in nature, might be used by biological organ...
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This paper is motivated by two aims. Firstly, we want to describe a method for simulations of two-di...
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