Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks.

Linking synaptic connectivity to dynamics is key to understanding information processing in neocortex. Circuit dynamics emerge from complex interactions of interconnected neurons, necessitating that links between connectivity and dynamics be evaluated at the network level. Here we map propagating ac...

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Main Authors: Brendan Chambers, Jason N MacLean
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-08-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4991791?pdf=render
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author Brendan Chambers
Jason N MacLean
author_facet Brendan Chambers
Jason N MacLean
author_sort Brendan Chambers
collection DOAJ
description Linking synaptic connectivity to dynamics is key to understanding information processing in neocortex. Circuit dynamics emerge from complex interactions of interconnected neurons, necessitating that links between connectivity and dynamics be evaluated at the network level. Here we map propagating activity in large neuronal ensembles from mouse neocortex and compare it to a recurrent network model, where connectivity can be precisely measured and manipulated. We find that a dynamical feature dominates statistical descriptions of propagating activity for both neocortex and the model: convergent clusters comprised of fan-in triangle motifs, where two input neurons are themselves connected. Fan-in triangles coordinate the timing of presynaptic inputs during ongoing activity to effectively generate postsynaptic spiking. As a result, paradoxically, fan-in triangles dominate the statistics of spike propagation even in randomly connected recurrent networks. Interplay between higher-order synaptic connectivity and the integrative properties of neurons constrains the structure of network dynamics and shapes the routing of information in neocortex.
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spelling doaj.art-4d75f397bfe54de6827058a0d2c8f5ab2022-12-21T23:59:40ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582016-08-01128e100507810.1371/journal.pcbi.1005078Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks.Brendan ChambersJason N MacLeanLinking synaptic connectivity to dynamics is key to understanding information processing in neocortex. Circuit dynamics emerge from complex interactions of interconnected neurons, necessitating that links between connectivity and dynamics be evaluated at the network level. Here we map propagating activity in large neuronal ensembles from mouse neocortex and compare it to a recurrent network model, where connectivity can be precisely measured and manipulated. We find that a dynamical feature dominates statistical descriptions of propagating activity for both neocortex and the model: convergent clusters comprised of fan-in triangle motifs, where two input neurons are themselves connected. Fan-in triangles coordinate the timing of presynaptic inputs during ongoing activity to effectively generate postsynaptic spiking. As a result, paradoxically, fan-in triangles dominate the statistics of spike propagation even in randomly connected recurrent networks. Interplay between higher-order synaptic connectivity and the integrative properties of neurons constrains the structure of network dynamics and shapes the routing of information in neocortex.http://europepmc.org/articles/PMC4991791?pdf=render
spellingShingle Brendan Chambers
Jason N MacLean
Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks.
PLoS Computational Biology
title Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks.
title_full Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks.
title_fullStr Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks.
title_full_unstemmed Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks.
title_short Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks.
title_sort higher order synaptic interactions coordinate dynamics in recurrent networks
url http://europepmc.org/articles/PMC4991791?pdf=render
work_keys_str_mv AT brendanchambers higherordersynapticinteractionscoordinatedynamicsinrecurrentnetworks
AT jasonnmaclean higherordersynapticinteractionscoordinatedynamicsinrecurrentnetworks