Patterned perturbation of inhibition can reveal the dynamical structure of neural processing
Year: 2020
Type: article
Abstract: 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.
Source: eLife
DOI: 10.7554/elife.52757
Authors: Sadra Sadeh, Claudia Clopath
Institution: Imperial College London
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,500
Awards: Retroactive effect of dopamine on hippocampal spike timing-dependent plasticity, G2863541165, Brain--inspired disinhihbitory learning rule for continual learning tasks in artificial neural networks, G4960269386, Plasticity of inhibitory synaptic transmission in the hippocampus, G6657520091, G7758880940, Memory across multiple time-scales
OpenAlex ID: W3008505973