Paper details

Title: Patterned perturbation of inhibition can reveal the dynamical structure of neural processing

Authors: Sadra Sadeh, Claudia Clopath

Abstract: Obtained from CrossRef

Perturbation of neuronal activity is key to understanding the brain’s functional properties, however, intervention studies typically perturb neurons in a nonspecific manner. Recent optogenetics techniques have enabled patterned perturbations, in which specific patterns of activity can be invoked in identified target neurons to reveal more specific cortical function. Here, we argue that patterned perturbation of neurons is in fact necessary to reveal the specific dynamics of inhibitory stabilization, emerging in cortical networks with strong excitatory and inhibitory functional subnetworks, as recently reported in mouse visual cortex. We propose a specific perturbative signature of these networks and investigate how this can be measured under different experimental conditions. Functionally, rapid spontaneous transitions between selective ensembles of neurons emerge in such networks, consistent with experimental results. Our study outlines the dynamical and functional properties of feature-specific inhibitory-stabilized networks, and suggests experimental protocols that can be used to detect them in the intact cortex.

Codecheck details

Certificate identifier: 2020-014

Codechecker name: Iain Davies

Time of codecheck: 2020-07-28 10:00:00

Repository: https://github.com/codecheckers/Sadeh-and-Clopath

Codecheck report: https://doi.org/10.5281/zenodo.3967326

Summary:

Some of the original MATLAB code was provided on ModelDB. This code was successfully rerun and reproduced some of the figures in the original paper. However this was a small subset of all the figures in the paper.

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