Distinctive features, categorical perception, and probability learning: some applications of a neural model

  title={Distinctive features, categorical perception, and probability learning: some applications of a neural model},
  author={J.A. Anderson and Jack W. Silverstein and Stephen A. Ritz and Randall S. Jones},
A previously proposed model for memory based on neurophysiolo gical considerations is reviewed. We assume that (a) nervous system activity is usefully represented as the set of simultaneous individual neuron activities in a group of neurons; (b) different memory traces make use of the same synapses; and (c) synapses associate two patterns of neural activity by incrementing synaptic connectivity proportionally to the product of pre- and postsynaptic activity, forming a matrix of synaptic… 

A Generalized Approach For Connectionist Auto-Associative Memories: Interpretation, Implication Illu

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Brains must be adequate to process complex information, but they must also have a simple enough underlying organization to have evolved by natural selection. Beginning with a network model,

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The data indicate that neurons with extra‐cortically projecting axons (long axons) invariably possess spine‐rich dendrites forming domains with remarkably regular horizontal parameters (i.e. modular domains), and cells with axons limited to intra-cortical paths are characterized by spine‐poor or spine‐free dendrite forming domains which are highly variable in size and shape.

Pavlovian pattern learning by nonlinear neural networks.

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  • Biology
    Proceedings of the National Academy of Sciences of the United States of America
  • 1971
This note describes laws for the anatomy, potentials, spiking rules, and transmitters of some networks of formal neurons that enable them to learn spatial patterns by Pavlovian conditioning.

Stimulus Sampling Theory

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Correlation Matrix Memories

  • T. Kohonen
  • Computer Science
    IEEE Transactions on Computers
  • 1972
A new model for associative memory, based on a correlation matrix, is suggested, in which any part of the memorized information can be used as a key and the memories are selective with respect to accumulated data.

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Quantitative studies of single-cell properties in monkey striate cortex. V. Multivariate statistical analyses and models.

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