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Related Experiment Videos

Simulation of dynamic receptive fields in primary visual cortex

J Xing1, G L Gerstein

  • 1Department of Neuroscience, University of Pennsylvania, Philadelphia 19104-6085.

Vision Research
|July 1, 1994
PubMed
Summary
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Neural network models demonstrate that short-term receptive field (RF) expansion in the visual system can occur without synaptic plasticity. This dynamic RF change is driven by shifts in cortical excitation-inhibition balance, particularly in inhibition-dominant networks with neural adaptation.

Area of Science:

  • Computational neuroscience
  • Visual system modeling
  • Neural network dynamics

Background:

  • Short-term changes in receptive fields (RFs) are crucial for visual processing.
  • Previous research suggests various mechanisms for dynamic RF alterations.
  • Experimental findings by Pettet and Gilbert (1992) provide a basis for comparison.

Purpose of the Study:

  • To simulate and explain short-term receptive field changes in the primary visual system using a spiking neural network model.
  • To investigate the roles of cortical lateral excitation and inhibition in RF dynamics.
  • To determine the necessity of synaptic plasticity for short-term RF modifications.

Main Methods:

  • Development of a model network of spiking neurons with lateral connections.

Related Experiment Videos

  • Simulation of afferent input removal to induce RF changes.
  • Comparison of simulation results with experimental data from Pettet and Gilbert (1992).
  • Exploration of mechanisms including excitation-inhibition balance and neural adaptation.

    • Main Results:

    • Appropriate stimuli induced RF expansion by shifting the balance between cortical excitation and inhibition.
    • Synaptic plasticity was found to be unnecessary for short-term RF changes.
    • An inhibition-dominant network with neural adaptation successfully replicated experimental findings of RF expansion and reversibility (artificial scotoma).
    • The model also explored RF expansions resulting from lesions.

    Conclusions:

    • Short-term receptive field expansion in the visual cortex can be explained by dynamic shifts in the balance of lateral excitation and inhibition, not requiring synaptic plasticity.
    • Neural adaptation in an inhibition-dominant network effectively models experimentally observed dynamic RF changes, including reversibility.
    • The computational model provides a viable framework for understanding short-term RF plasticity and its underlying neural mechanisms.