The evolution in the brain (Q1294329)
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scientific article; zbMATH DE number 1311128
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | The evolution in the brain |
scientific article; zbMATH DE number 1311128 |
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The evolution in the brain (English)
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20 September 1999
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The author investigates the evolution of the brain by using the theory of Gaussian Adaptation (GA), that is the entropy of a population of signal patterns is maximized keeping the mean fitness of the population \(P\) at some suitable level. In the end, the author concluded that the GA - algorithm is a good second order approximation of the Darwinian evolution of natural systems and is also consistent with the Hebbian rule of associative leaning.
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evolution
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nervous system
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associative learning
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Gaussian adaptation
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