A visual encoding model based on deep neural networks and transfer learning

23 Feb 2019Chi ZhangKai QiaoLinyuan WangLi TongGuoen HuRuyuan ZhangBin Yan

Background: Building visual encoding models to accurately predict visual responses is a central challenge for current vision-based brain-machine interface techniques. To achieve high prediction accuracy on neural signals, visual encoding models should include precise visual features and appropriate prediction algorithms... (read more)

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