Neural Circuit Inference from Function to Structure

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• 作者：Esteban Real¹ ; ³ ; Hiroki Asari¹ ; ⁴ ; ^{asari@embl.it} ; Tim Gollisch² ; Markus Meister¹ ; ⁵ ; ⁶ ; ^{meister@caltech.edu}
• 关键词：vision ; retina ; ganglion cells ; bipolar cells ; brain circuit ; neurophysiology ; neural code ; computational neuroscience ; machine learning ; circuit model
• 刊名：Current Biology
• 出版年：2017
• 出版时间：23 January 2017
• 年：2017
• 卷：27
• 期：2
• 页码：189-198
• 全文大小：1568 K
• 卷排序：27

文摘

We present a computational method to link structure and function in neural circuits A series of circuit models with increasing complexity was devised for the retina Models progressively performed better in predicting ganglion cell visual responses Models correctly inferred inner structure of the retina from ganglion cell function