DOI: 10.1101/506956Dec 28, 2018Paper

Inception in visual cortex: in vivo-silico loops reveal most exciting images

BioRxiv : the Preprint Server for Biology
Edgar Y WalkerAndreas S Tolias

Abstract

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.

Related Concepts

Brain
Laboratory mice
Neurons
Visual Cortex
Loop
Apical Segmental Vein
NBS1 protein, human
Paradigm
Sensory Process
In Vivo

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