Inception in visual cortex: in vivo-silico loops reveal most exciting images
Inception in visual cortex: in vivo-silico loops reveal most exciting images
Much of our knowledge about sensory processing in the brain is based on quasi-linear models and the stimuli that optimally drive them. However, sensory information processing is nonlinear, even in primary sensory areas, and optimizing sensory input is difficult due to the high-dimensional input space. We developed inception loops, a closed-loop experimental paradigm that combines in vivo recordings with in silico nonlinear response modeling to identify the Most Exciting Images (MEIs) for neurons in mouse V1. When presented back to the brain, MEIs indeed drove their target cells significantly better than the best stimuli identified by linear models. The MEIs exhibited complex spatial features that deviated from the textbook ideal of V1 as a bank of Gabor filters. Inception loops represent a widely applicable new approach to dissect the neural mechanisms of sensation.
Sinz Fabian H.、Fahey Paul G.、Cobos Erick、Reimer Jacob、Walke Edgar Y.、Tolias Andreas S.、Muhammad Taliah、Pitkow Xaq、Froudarakis Emmanouil、Ecker Alexander S.
Department of Neuroscience||Center for Neuroscience and Artificial Intelligence||Bernstein Center for Computational Neuroscience||Institute for Computer ScienceDepartment of Neuroscience||Center for Neuroscience and Artificial IntelligenceDepartment of Neuroscience||Center for Neuroscience and Artificial IntelligenceDepartment of Neuroscience||Center for Neuroscience and Artificial IntelligenceDepartment of Neuroscience||Center for Neuroscience and Artificial IntelligenceDepartment of Neuroscience||Center for Neuroscience and Artificial Intelligence||Department of Electrical and Computer EngineeringDepartment of Neuroscience||Center for Neuroscience and Artificial IntelligenceDepartment of Neuroscience||Center for Neuroscience and Artificial Intelligence||Department of Electrical and Computer EngineeringDepartment of Neuroscience||Center for Neuroscience and Artificial IntelligenceCenter for Neuroscience and Artificial Intelligence||Centre for Integrative Neuroscience||Bernstein Center for Computational Neuroscience||Institute for Theoretical Physics
生物科学研究方法、生物科学研究技术生物物理学
Sinz Fabian H.,Fahey Paul G.,Cobos Erick,Reimer Jacob,Walke Edgar Y.,Tolias Andreas S.,Muhammad Taliah,Pitkow Xaq,Froudarakis Emmanouil,Ecker Alexander S..Inception in visual cortex: in vivo-silico loops reveal most exciting images[EB/OL].(2025-03-28)[2025-04-24].https://www.biorxiv.org/content/10.1101/506956.点此复制
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