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A neural network model for the development of direction selectivity in the visual cortex

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Abstract

A neural network model is proposed to explain the development of direction selectivity of cortical cells. The model is constructed under the following three hypotheses that are very plausible from recent neurophysiological findings. (1) Direction selectivity is developed by modifiable inhibitory synapses. (2) It results not from the direct convergence of many excitatory inputs from LGN cells but from cortical neural networks. (3) Direction-selective mechanism is independent of orientation-selective mechanism.—The model was simulated on a computer for a few kinds of inhibitory connections and initial conditions. The results were consistent with neurophysiological facts not only for normal cats but for cats reared in an abnormal visual environment.

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Author notes

  1. Masaaki Fujiwara

    Present address: Tokyo-Keiki Co., Ltd., Tokyo, Japan

Authors and Affiliations

  1. Information Sciences Division, Electrotechnical Laboratory, Tanashi-shi, Tokyo, Japan

    Takashi Nagano

  2. Graduate School of Science and Engineering, Waseda University, Tokyo, Japan

    Masaaki Fujiwara

Authors
  1. Takashi Nagano
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  2. Masaaki Fujiwara
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Nagano, T., Fujiwara, M. A neural network model for the development of direction selectivity in the visual cortex. Biol. Cybernetics 32, 1–8 (1979). https://doi.org/10.1007/BF00337445

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  • DOI: https://doi.org/10.1007/BF00337445

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