Feedforward Inhibition Allows Input Summation to Vary in Recurrent Cortical Networks

Overview

Journal eNeuro

Specialty Neurology

Date 2018 Apr 24

PMID 29682603

Citations 7

Authors

Mark H Histed

Affiliations

Soon will be listed here.

Abstract

Brain computations depend on how neurons transform inputs to spike outputs. Here, to understand input-output transformations in cortical networks, we recorded spiking responses from visual cortex (V1) of awake mice of either sex while pairing sensory stimuli with optogenetic perturbation of excitatory and parvalbumin-positive inhibitory neurons. We found that V1 neurons' average responses were primarily additive (linear). We used a recurrent cortical network model to determine whether these data, as well as past observations of nonlinearity, could be described by a common circuit architecture. Simulations showed that cortical input-output transformations can be changed from linear to sublinear with moderate (∼20%) strengthening of connections between inhibitory neurons, but this change away from linear scaling depends on the presence of feedforward inhibition. Simulating a variety of recurrent connection strengths showed that, compared with when input arrives only to excitatory neurons, networks produce a wider range of output spiking responses in the presence of feedforward inhibition.

Citing Articles

Excitation creates a distributed pattern of cortical suppression due to varied recurrent input.

ORawe J, Zhou Z, Li A, LaFosse P, Goldbach H, Histed M Neuron. 2023; 111(24):4086-4101.e5.

PMID: 37865083 PMC: 10872553. DOI: 10.1016/j.neuron.2023.09.010.

Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys.

Sanzeni A, Palmigiano A, Nguyen T, Luo J, Nassi J, Reynolds J Neuron. 2023; 111(24):4102-4115.e9.

PMID: 37865082 PMC: 10841937. DOI: 10.1016/j.neuron.2023.09.018.

Emergence of Irregular Activity in Networks of Strongly Coupled Conductance-Based Neurons.

Sanzeni A, Histed M, Brunel N Phys Rev X. 2022; 12(1).

PMID: 35923858 PMC: 9344604. DOI: 10.1103/physrevx.12.011044.

What is the dynamical regime of cerebral cortex?.

Ahmadian Y, Miller K Neuron. 2021; 109(21):3373-3391.

PMID: 34464597 PMC: 9129095. DOI: 10.1016/j.neuron.2021.07.031.

Performance in even a simple perceptual task depends on mouse secondary visual areas.

Goldbach H, Akitake B, Leedy C, Histed M Elife. 2021; 10.

PMID: 33522482 PMC: 7990500. DOI: 10.7554/eLife.62156.

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