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Figure-ground separation using a diffusion-concentration neural network - MaRDI portal

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Figure-ground separation using a diffusion-concentration neural network (Q1895504)

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scientific article; zbMATH DE number 783486
Language Label Description Also known as
English
Figure-ground separation using a diffusion-concentration neural network
scientific article; zbMATH DE number 783486

    Statements

    Figure-ground separation using a diffusion-concentration neural network (English)
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    6 September 1995
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    The mechanism of diffusion and concentration of neural activity is one of the basic laws of neuronal interaction in the cerebral cortex. The evidence shows that the lateral connections between neurons in the cerebral neocortex take the following structure: the short-range lateral connections are excitatory while the long-range ones are inhibitory. This note shows that the structure of connections is able both to diffuse and to concentrate information; that is, the short-range excitatory connections provide the pathways for the diffusional process of the activity, and the long-range inhibitory connections provide the pathways for the concentrative process of the activity. Both diffusion and concentration are coexistent.
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    membrane potential
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    diffusion-concentration network
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    neural activity
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    cerebral cortex
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    lateral connections
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    cerebral neocortex
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    short-range excitatory connections
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    long-range inhibitory connections
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    Identifiers