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Rate and oscillatory switching dynamics of a multilayer visual microcircuit model
Univ Pompeu Fabra, Ctr Brain & Cognit, Dept Informat & Commun Technol, Computat Neurosci Grp, Barcelona, Spain..
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0002-8044-9195
Max Planck Inst Human Cognit & Brain Sci, Brain Networks Grp, Leipzig, Germany..ORCID iD: 0000-0002-2264-0821
Max Planck Inst Human Cognit & Brain Sci, Brain Networks Grp, Leipzig, Germany.;Tech Univ Ilmenau, Inst Biomed Engn & Informat, Dept Comp Sci & Automat, Ilmenau, Germany..
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2022 (English)In: eLIFE, E-ISSN 2050-084X, Vol. 11, article id e77594Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
eLife Sciences Publications, Ltd , 2022. Vol. 11, article id e77594
Keywords [en]
microcircuit, modeling, oscillations, switching dynamics, cortical layers, Mouse
National Category
Atom and Molecular Physics and Optics Neurosciences Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-317023DOI: 10.7554/eLife.77594ISI: 000843885800001PubMedID: 35994330Scopus ID: 2-s2.0-85136389753OAI: oai:DiVA.org:kth-317023DiVA, id: diva2:1693176
Note

QC 20220906

Available from: 2022-09-06 Created: 2022-09-06 Last updated: 2022-09-06Bibliographically approved

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Kumar, Arvind

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