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A neural network model of the McCollough effect

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Abstract

A self-organizing, feature-extracting network (von der Malsburg, 1973) is extended to two feature dimensions to encompass line orientation and color. It is applied to McCollough effects, particularly longlasting, contingent-aftereffects. McCollough effects are thought to involve low-level associative memory in the form of synaptic modification. The McCollough-Malsburg Model (MMM) embodies positive synaptic modification with correlated firing of units in an input layer and an excitatory cortical layer. Computer simulation of MMM reproduces orientation-contingent color aftereffects. The model embodies many of the mechanisms thought to be operating in developmental plasticity, suggesting that equivalent mechanisms may be involved in adult long-term adaptation as well.

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Author notes

  1. Fanya S. Montalvo

    Present address: Computer Science and Applied Mathematics Department, Lawrence Berkeley Laboratory, University of California, 94720, Berkeley, California, USA

Authors and Affiliations

  1. Computer and Information Science Department, University of Massachusetts, Amherst, MA, USA

    Fanya S. Montalvo

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  1. Fanya S. Montalvo
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Additional information

This work was supported in part by NIH Grant No. 5 R01 NS09755-4 COM of the National Institute of Neurological Diseases and Stroke (M.A. Arbib, Principal Investigator)

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Montalvo, F.S. A neural network model of the McCollough effect. Biol. Cybernetics 25, 49–56 (1976). https://doi.org/10.1007/BF00337048

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  • DOI: https://doi.org/10.1007/BF00337048

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