Dataset Information

Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex.

ABSTRACT: Generating a comprehensive description of cortical networks requires a large-scale, systematic approach. To that end, we have begun a pipeline project using multipatch electrophysiology, supplemented with two-photon optogenetics, to characterize connectivity and synaptic signaling between classes of neurons in adult mouse primary visual cortex (V1) and human cortex. We focus on producing results detailed enough for the generation of computational models and enabling comparison with future studies. Here, we report our examination of intralaminar connectivity within each of several classes of excitatory neurons. We find that connections are sparse but present among all excitatory cell classes and layers we sampled, and that most mouse synapses exhibited short-term depression with similar dynamics. Synaptic signaling between a subset of layer 2/3 neurons, however, exhibited facilitation. These results contribute to a body of evidence describing recurrent excitatory connectivity as a conserved feature of cortical microcircuits.

SUBMITTER: Seeman SC

PROVIDER: S-EPMC6158007 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex.

Seeman Stephanie C SC Campagnola Luke L Davoudian Pasha A PA Hoggarth Alex A Hage Travis A TA Bosma-Moody Alice A Baker Christopher A CA Lee Jung Hoon JH Mihalas Stefan S Teeter Corinne C Ko Andrew L AL Ojemann Jeffrey G JG Gwinn Ryder P RP Silbergeld Daniel L DL Cobbs Charles C Phillips John J Lein Ed E Murphy Gabe G Koch Christof C Zeng Hongkui H Jarsky Tim T

eLife 20180926

Generating a comprehensive description of cortical networks requires a large-scale, systematic approach. To that end, we have begun a pipeline project using multipatch electrophysiology, supplemented with two-photon optogenetics, to characterize connectivity and synaptic signaling between classes of neurons in adult mouse primary visual cortex (V1) and human cortex. We focus on producing results detailed enough for the generation of computational models and enabling comparison with future studie ...[more]

PMID: 30256194

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Project description:Local excitatory connections in mouse primary visual cortex (V1) are stronger and more prevalent between neurons that share similar functional response features. However, the details of how functional rules for local connectivity shape neuronal responses in V1 remain unknown. We hypothesised that complex responses to visual stimuli may arise as a consequence of rules for selective excitatory connectivity within the local network in the superficial layers of mouse V1. In mouse V1 many neurons respond to overlapping grating stimuli (plaid stimuli) with highly selective and facilitatory responses, which are not simply predicted by responses to single gratings presented alone. This complexity is surprising, since excitatory neurons in V1 are considered to be mainly tuned to single preferred orientations. Here we examined the consequences for visual processing of two alternative connectivity schemes: in the first case, local connections are aligned with visual properties inherited from feedforward input (a 'like-to-like' scheme specifically connecting neurons that share similar preferred orientations); in the second case, local connections group neurons into excitatory subnetworks that combine and amplify multiple feedforward visual properties (a 'feature binding' scheme). By comparing predictions from large scale computational models with in vivo recordings of visual representations in mouse V1, we found that responses to plaid stimuli were best explained by assuming feature binding connectivity. Unlike under the like-to-like scheme, selective amplification within feature-binding excitatory subnetworks replicated experimentally observed facilitatory responses to plaid stimuli; explained selective plaid responses not predicted by grating selectivity; and was consistent with broad anatomical selectivity observed in mouse V1. Our results show that visual feature binding can occur through local recurrent mechanisms without requiring feedforward convergence, and that such a mechanism is consistent with visual responses and cortical anatomy in mouse V1.

Dataset Information

Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex.

Publications

Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex.

Similar Datasets

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