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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Takashi NAGANO, Masaaki FUJIWARA, "A Neural Network Model for the Development of Direction Selectivity in the Visual Cortex" in IEICE TRANSACTIONS on transactions,
vol. E61-E, no. 11, pp. 873-879, November 1978, doi: .
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.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e61-e_11_873/_p
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@ARTICLE{e61-e_11_873,
author={Takashi NAGANO, Masaaki FUJIWARA, },
journal={IEICE TRANSACTIONS on transactions},
title={A Neural Network Model for the Development of Direction Selectivity in the Visual Cortex},
year={1978},
volume={E61-E},
number={11},
pages={873-879},
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.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - A Neural Network Model for the Development of Direction Selectivity in the Visual Cortex
T2 - IEICE TRANSACTIONS on transactions
SP - 873
EP - 879
AU - Takashi NAGANO
AU - Masaaki FUJIWARA
PY - 1978
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E61-E
IS - 11
JA - IEICE TRANSACTIONS on transactions
Y1 - November 1978
AB - 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.
ER -