Learning and Categorization in Modular Neural Networks by Jacob M.J. Murre PDF

By Jacob M.J. Murre

This booklet introduces a brand new neural community version known as CALM, for categorization and studying in neural networks. the writer demonstrates how this version can examine the note superiority impact for letter popularity, and discusses a chain of stories that simulate experiments in implicit and particular reminiscence, regarding general and amnesic sufferers. Pathological, yet psychologically exact, habit is produced by means of "lesioning" the arousal procedure of those types. A concise advent to genetic algorithms, a brand new computing procedure in response to the organic metaphor of evolution, and an illustration on how those algorithms can layout community architectures with more advantageous functionality are incorporated during this quantity.

The function of modularity in parallel and software program implementations is taken into account, together with transputer networks and a committed 400-processor neurocomputer outfitted through the builders of CALM in cooperation with Delft Technical collage. Concluding with an evaluate of the mental and organic plausibility of CALM versions, the ebook deals a basic dialogue of catastrophic interference, generalization, and representational skill of modular neural networks. Researchers in cognitive technology, neuroscience, machine simulation sciences, parallel laptop architectures, and trend attractiveness can be attracted to this quantity, in addition to a person engaged within the examine of neural networks, neurocomputers, and neurosimulators.

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Learning and Categorization in Modular Neural Networks by Jacob M.J. Murre


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