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Engineering-approach accelerates computational understanding of V1–V2 neural properties
We present two computational models (i) long-range horizontal connections and the nonlinear effect in V1 and (ii) the filling-in process at the blind spot. Both models are obtained deductively from standard regularization theory to show that physiological evidence of V1 and V2 neural properties is e...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer Netherlands
2008
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2645490/ https://ncbi.nlm.nih.gov/pubmed/19003454 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-008-9065-x |
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