Inhibition stabilization is a widespread property of cortical networks
Many cortical network models use recurrent coupling strong enough to require inhibition for stabilization. Yet it has been experimentally unclear whether inhibition-stabilized network (ISN) models describe cortical function well across areas and states. Here, we test several ISN predictions, includi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2020-06-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/54875 |
| _version_ | 1811253066705403904 |
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| author | Alessandro Sanzeni Bradley Akitake Hannah C Goldbach Caitlin E Leedy Nicolas Brunel Mark H Histed |
| author_facet | Alessandro Sanzeni Bradley Akitake Hannah C Goldbach Caitlin E Leedy Nicolas Brunel Mark H Histed |
| author_sort | Alessandro Sanzeni |
| collection | DOAJ |
| description | Many cortical network models use recurrent coupling strong enough to require inhibition for stabilization. Yet it has been experimentally unclear whether inhibition-stabilized network (ISN) models describe cortical function well across areas and states. Here, we test several ISN predictions, including the counterintuitive (paradoxical) suppression of inhibitory firing in response to optogenetic inhibitory stimulation. We find clear evidence for ISN operation in mouse visual, somatosensory, and motor cortex. Simple two-population ISN models describe the data well and let us quantify coupling strength. Although some models predict a non-ISN to ISN transition with increasingly strong sensory stimuli, we find ISN effects without sensory stimulation and even during light anesthesia. Additionally, average paradoxical effects result only with transgenic, not viral, opsin expression in parvalbumin (PV)-positive neurons; theory and expression data show this is consistent with ISN operation. Taken together, these results show strong coupling and inhibition stabilization are common features of the cortex. |
| first_indexed | 2024-04-12T16:44:13Z |
| format | Article |
| id | doaj.art-62998f367ce149b797e9e589cd8880f8 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T16:44:13Z |
| publishDate | 2020-06-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-62998f367ce149b797e9e589cd8880f82022-12-22T03:24:38ZengeLife Sciences Publications LtdeLife2050-084X2020-06-01910.7554/eLife.54875Inhibition stabilization is a widespread property of cortical networksAlessandro Sanzeni0https://orcid.org/0000-0001-8758-1810Bradley Akitake1https://orcid.org/0000-0002-1817-4573Hannah C Goldbach2https://orcid.org/0000-0002-5697-4694Caitlin E Leedy3https://orcid.org/0000-0001-9277-5409Nicolas Brunel4https://orcid.org/0000-0002-2272-3248Mark H Histed5https://orcid.org/0000-0001-8235-7908NIMH Intramural Program, National Institutes of Health, Bethesda, United States; Department of Neurobiology, Duke University, Durham, United StatesNIMH Intramural Program, National Institutes of Health, Bethesda, United StatesNIMH Intramural Program, National Institutes of Health, Bethesda, United StatesNIMH Intramural Program, National Institutes of Health, Bethesda, United StatesDepartment of Neurobiology, Duke University, Durham, United StatesNIMH Intramural Program, National Institutes of Health, Bethesda, United StatesMany cortical network models use recurrent coupling strong enough to require inhibition for stabilization. Yet it has been experimentally unclear whether inhibition-stabilized network (ISN) models describe cortical function well across areas and states. Here, we test several ISN predictions, including the counterintuitive (paradoxical) suppression of inhibitory firing in response to optogenetic inhibitory stimulation. We find clear evidence for ISN operation in mouse visual, somatosensory, and motor cortex. Simple two-population ISN models describe the data well and let us quantify coupling strength. Although some models predict a non-ISN to ISN transition with increasingly strong sensory stimuli, we find ISN effects without sensory stimulation and even during light anesthesia. Additionally, average paradoxical effects result only with transgenic, not viral, opsin expression in parvalbumin (PV)-positive neurons; theory and expression data show this is consistent with ISN operation. Taken together, these results show strong coupling and inhibition stabilization are common features of the cortex.https://elifesciences.org/articles/54875inhibitory stabilized networkcortical modelsoptogeneticsparadoxicaltransgenic animalsmodel inference |
| spellingShingle | Alessandro Sanzeni Bradley Akitake Hannah C Goldbach Caitlin E Leedy Nicolas Brunel Mark H Histed Inhibition stabilization is a widespread property of cortical networks eLife inhibitory stabilized network cortical models optogenetics paradoxical transgenic animals model inference |
| title | Inhibition stabilization is a widespread property of cortical networks |
| title_full | Inhibition stabilization is a widespread property of cortical networks |
| title_fullStr | Inhibition stabilization is a widespread property of cortical networks |
| title_full_unstemmed | Inhibition stabilization is a widespread property of cortical networks |
| title_short | Inhibition stabilization is a widespread property of cortical networks |
| title_sort | inhibition stabilization is a widespread property of cortical networks |
| topic | inhibitory stabilized network cortical models optogenetics paradoxical transgenic animals model inference |
| url | https://elifesciences.org/articles/54875 |
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