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A neural network model of the McCollough effect
Authors:Fanya S. Montalvo
Affiliation:(1) Computer and Information Science Department, University of Massachusetts, Amherst, MA, USA;(2) Present address: Computer Science and Applied Mathematics Department, Lawrence Berkeley Laboratory, University of California, 94720 Berkeley, California, USA
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.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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