Gurnani, H;
Silver, RA;
(2021)
Multidimensional population activity in an electrically coupled inhibitory circuit in the cerebellar cortex.
Neuron
10.1016/j.neuron.2021.03.027.
(In press).
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Abstract
Inhibitory neurons orchestrate the activity of excitatory neurons and play key roles in circuit function. Although individual interneurons have been studied extensively, little is known about their properties at the population level. Using random-access 3D two-photon microscopy, we imaged local populations of cerebellar Golgi cells (GoCs), which deliver inhibition to granule cells. We show that population activity is organized into multiple modes during spontaneous behaviors. A slow, network-wide common modulation of GoC activity correlates with the level of whisking and locomotion, while faster (<1 s) differential population activity, arising from spatially mixed heterogeneous GoC responses, encodes more precise information. A biologically detailed GoC circuit model reproduced the common population mode and the dimensionality observed experimentally, but these properties disappeared when electrical coupling was removed. Our results establish that local GoC circuits exhibit multidimensional activity patterns that could be used for inhibition-mediated adaptive gain control and spatiotemporal patterning of downstream granule cells.
Type: | Article |
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Title: | Multidimensional population activity in an electrically coupled inhibitory circuit in the cerebellar cortex |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.neuron.2021.03.027 |
Publisher version: | http://dx.doi.org/10.1016/j.neuron.2021.03.027 |
Language: | English |
Additional information: | © 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Golgi cells, cerebellar cortex, dimensionality, electrical coupling, gain control, gap junctions, inhibition, inhibitory interneurons, population codes |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Neuro, Physiology and Pharmacology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10126388 |
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