Rate and oscillatory switching dynamics of a multilayer visual microcircuit model
The neocortex is organized around layered microcircuits consisting of a variety of excitatory and inhibitory neuronal types which perform rate- and oscillation-based computations. Using modeling, we show that both superficial and deep layers of the primary mouse visual cortex implement two ultrasens...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2022-08-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/77594 |
| _version_ | 1797998520936955904 |
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| author | Gerald Hahn Arvind Kumar Helmut Schmidt Thomas R Knösche Gustavo Deco |
| author_facet | Gerald Hahn Arvind Kumar Helmut Schmidt Thomas R Knösche Gustavo Deco |
| author_sort | Gerald Hahn |
| collection | DOAJ |
| description | The neocortex is organized around layered microcircuits consisting of a variety of excitatory and inhibitory neuronal types which perform rate- and oscillation-based computations. Using modeling, we show that both superficial and deep layers of the primary mouse visual cortex implement two ultrasensitive and bistable switches built on mutual inhibitory connectivity motives between somatostatin, parvalbumin, and vasoactive intestinal polypeptide cells. The switches toggle pyramidal neurons between high and low firing rate states that are synchronized across layers through translaminar connectivity. Moreover, inhibited and disinhibited states are characterized by low- and high-frequency oscillations, respectively, with layer-specific differences in frequency and power which show asymmetric changes during state transitions. These findings are consistent with a number of experimental observations and embed firing rate together with oscillatory changes within a switch interpretation of the microcircuit. |
| first_indexed | 2024-04-11T10:50:08Z |
| format | Article |
| id | doaj.art-ae40a2dbc68947648cbfcfbbade8b9ce |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-11T10:50:08Z |
| publishDate | 2022-08-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-ae40a2dbc68947648cbfcfbbade8b9ce2022-12-22T04:28:57ZengeLife Sciences Publications LtdeLife2050-084X2022-08-011110.7554/eLife.77594Rate and oscillatory switching dynamics of a multilayer visual microcircuit modelGerald Hahn0https://orcid.org/0000-0002-7069-0639Arvind Kumar1https://orcid.org/0000-0002-8044-9195Helmut Schmidt2https://orcid.org/0000-0002-2264-0821Thomas R Knösche3https://orcid.org/0000-0001-9668-3261Gustavo Deco4Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, SpainComputational Science and Technology, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, SwedenBrain Networks Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, GermanyBrain Networks Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Institute of Biomedical Engineering and Informatics, Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, GermanyCenter for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain; Institució Catalana de la Recerca i Estudis Avançats, Barcelona, Spain; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, AustraliaThe neocortex is organized around layered microcircuits consisting of a variety of excitatory and inhibitory neuronal types which perform rate- and oscillation-based computations. Using modeling, we show that both superficial and deep layers of the primary mouse visual cortex implement two ultrasensitive and bistable switches built on mutual inhibitory connectivity motives between somatostatin, parvalbumin, and vasoactive intestinal polypeptide cells. The switches toggle pyramidal neurons between high and low firing rate states that are synchronized across layers through translaminar connectivity. Moreover, inhibited and disinhibited states are characterized by low- and high-frequency oscillations, respectively, with layer-specific differences in frequency and power which show asymmetric changes during state transitions. These findings are consistent with a number of experimental observations and embed firing rate together with oscillatory changes within a switch interpretation of the microcircuit.https://elifesciences.org/articles/77594microcircuitmodelingoscillationsswitching dynamicscortical layers |
| spellingShingle | Gerald Hahn Arvind Kumar Helmut Schmidt Thomas R Knösche Gustavo Deco Rate and oscillatory switching dynamics of a multilayer visual microcircuit model eLife microcircuit modeling oscillations switching dynamics cortical layers |
| title | Rate and oscillatory switching dynamics of a multilayer visual microcircuit model |
| title_full | Rate and oscillatory switching dynamics of a multilayer visual microcircuit model |
| title_fullStr | Rate and oscillatory switching dynamics of a multilayer visual microcircuit model |
| title_full_unstemmed | Rate and oscillatory switching dynamics of a multilayer visual microcircuit model |
| title_short | Rate and oscillatory switching dynamics of a multilayer visual microcircuit model |
| title_sort | rate and oscillatory switching dynamics of a multilayer visual microcircuit model |
| topic | microcircuit modeling oscillations switching dynamics cortical layers |
| url | https://elifesciences.org/articles/77594 |
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