Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization

The brain represents visual objects with topographic cortical patterns. To address how distributed visual representations enable object categorization, we established predictive encoding models based on a deep residual network, and trained them to predict cortical responses to natural movies. Using...

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Veröffentlicht in:	Scientific reports 2018-02, Vol.8 (1), p.3752-17, Article 3752
Hauptverfasser:	Wen, Haiguang, Shi, Junxing, Chen, Wei, Liu, Zhongming
Format:	Artikel
Sprache:	eng
Schlagworte:	59/57 631/378/116/1925 631/378/2613/2616 Accuracy Computational neuroscience Humanities and Social Sciences multidisciplinary Neural networks Science Science (multidisciplinary) Semantics Visual cortex
Online-Zugang:	Volltext
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