Presentation 1996/7/24
A Neural Network Model Detecting Orientation Discontinuities in the Primary Visual Cortex
Yasuhiro SAGAWA,
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Abstract(in English) It becomes clearer that receptive fields of many neurons in the primary visual cortex are wider than were thought in the first stage. That is, "classical receptive field", where visual stimuli make each neuron respond, is surrounded by "surrounding field", where visual stimuli give effects to the responeses. Stimuli on this surrounding field don't make the neuron respond, but modulate the responses evoken by stimuli on the classical receptive field. Recently, results of neurophysiological experiments were reported about such classical receptive field and surrounding field. These results indicated that some neurons in the primary visual cortex detect discontinuities of orientations rather than detect orientations of stimuli. In thie article, a neural network model is proposed, which explains these neurophysiological results. Behaviors of the model are demonstrated by computer simulations, and compared with the neurophysiological results.
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Keyword(in English) primary visual cortex / classical receptive field / surrounding field / orientation discontinuities / long-range connection
Paper # NC96-34
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Committee NC
Conference Date 1996/7/24(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Neural Network Model Detecting Orientation Discontinuities in the Primary Visual Cortex
Sub Title (in English)
Keyword(1) primary visual cortex
Keyword(2) classical receptive field
Keyword(3) surrounding field
Keyword(4) orientation discontinuities
Keyword(5) long-range connection
1st Author's Name Yasuhiro SAGAWA
1st Author's Affiliation Department of Biophysical Engineering, Faculty of Engineering Science, Osaka University()
Date 1996/7/24
Paper # NC96-34
Volume (vol) vol.96
Number (no) 178
Page pp.pp.-
#Pages 6
Date of Issue