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This is a particular case of flexible architecture that permits multiple related computations within a single circuit.<\/jats:p>\n               <jats:p>Here, we address this question in the specific case of the visual system circuitry, focusing on context integration, defined as the integration of feedforward and surround information across visual space. We show that a biologically inspired microcircuit with multiple inhibitory cell types can switch between visual processing of the static context and the moving context. In our model, the VIP population acts as the switch and modulates the visual circuit through a disinhibitory motif. Moreover, the VIP population is efficient, requiring only a relatively small number of neurons to switch contexts. This circuit eliminates noise in videos by using appropriate lateral connections for contextual spatiotemporal surround modulation, having superior denoising performance compared to circuits where only one context is learned. Our findings shed light on a minimally complex architecture that is capable of switching between two naturalistic contexts using few switching units.<\/jats:p>","DOI":"10.1162\/neco_a_01472","type":"journal-article","created":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T23:13:15Z","timestamp":1641942795000},"page":"541-594","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":2,"title":["Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch"],"prefix":"10.1162","volume":"34","author":[{"given":"Doris","family":"Voina","sequence":"first","affiliation":[{"name":"Applied Mathematics, University of Washington, Seattle, WA 98195 U.S.A. dvoina@uw.edu"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Recanatesi","sequence":"additional","affiliation":[{"name":"Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, U.S.A. stefano.recanatesi@gmail.com"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Hu","sequence":"additional","affiliation":[{"name":"Allen Institute for Brain Science, Seattle, WA 98109 U.S.A. brian.hu@kitware.com"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"Shea-Brown","sequence":"additional","affiliation":[{"name":"Applied Mathematics, University of Washington, Seattle, WA 98195, U.S.A. etsb@uw.edu"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Mihalas","sequence":"additional","affiliation":[{"name":"Applied Mathematics, University of Washington, Seattle, WA 98195, U.S.A."},{"name":"Allen Institute for Brain Science, Seattle, WA 98109, U.S.A. stefanm@alleninstitute.org"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","published-online":{"date-parts":[[2022,2,17]]},"reference":[{"key":"2022022323294939800_B1","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/S0079-6123(06)54005-1","volume-title":"Progress in brain research","author":"Angelucci","year":"2006"},{"key":"2022022323294939800_B2","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1016\/j.cub.2013.04.012","article-title":"Locomotion controls spatial integration in mouse visual cortex","volume":"23","author":"Ayaz","year":"2013","journal-title":"Current Biology"},{"key":"2022022323294939800_B3","doi-asserted-by":"crossref","unstructured":"Attneave, F.\n           (1954). 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