{"id":2630,"date":"2022-05-05T19:07:12","date_gmt":"2022-05-05T09:07:12","guid":{"rendered":"https:\/\/www.cognav.net\/?p=2630"},"modified":"2022-05-05T19:07:12","modified_gmt":"2022-05-05T09:07:12","slug":"how-drosophila-lplc1-neurons-implement-a-selective-collision-avoidance-behavior-by-pooling-outputs-of-motion-and-object-detectors-as-well-as-spatially-biased-inhibition","status":"publish","type":"post","link":"https:\/\/braininspirednavigation.com\/?p=2630","title":{"rendered":"How Drosophila LPLC1 neurons implement a selective collision avoidance behavior by pooling outputs of motion and object detectors, as well as spatially biased inhibition?"},"content":{"rendered":"<p style=\"text-align: justify;\">Ryosuke Tanaka, Damon A. Clark.\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0960982222005929?via%3Dihub\"><strong>Neural mechanisms to exploit positional geometry for collision avoidance<\/strong><\/a>,<br \/>\nCurrent Biology,\u00a02022,\u00a0https:\/\/doi.org\/10.1016\/j.cub.2022.04.023.<\/p>\n<p style=\"text-align: justify;\">Summary<br \/>\n&#8220;<strong><span style=\"color: #ff0000;\">Visual motion provides rich geometrical cues about the three-dimensional configuration of the world<\/span><\/strong>. However, <strong><span style=\"color: #ff0000;\">how brains decode the spatial information carried by motion signals remains poorly understood<\/span><\/strong>. Here, we study a collision-avoidance behavior in Drosophila as a simple model of motion-based spatial vision. With simulations and psychophysics, <strong><span style=\"color: #ff0000;\">we demonstrate that walking Drosophila exhibit a pattern of slowing to avoid collisions by exploiting the geometry of positional changes of objects on near-collision courses<\/span><\/strong>. This behavior requires the visual neuron LPLC1, whose tuning mirrors the behavior and whose activity drives slowing. LPLC1 pools inputs from object and motion detectors, and spatially biased inhibition tunes it to the geometry of collisions. Connectomic analyses identified circuitry downstream of LPLC1 that faithfully inherits its response properties. <strong><span style=\"color: #ff0000;\">Overall, our results reveal how a small neural circuit solves a specific spatial vision task by combining distinct visual features to exploit universal geometrical constraints of the visual world.<\/span><\/strong>&#8220;<\/p>\n<p style=\"text-align: justify;\">Ryosuke Tanaka, Damon A. Clark.\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0960982222005929?via%3Dihub\"><strong>Neural mechanisms to exploit positional geometry for collision avoidance<\/strong><\/a>,<br \/>\nCurrent Biology,\u00a02022,\u00a0https:\/\/doi.org\/10.1016\/j.cub.2022.04.023.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ryosuke Tanaka, Damon A. Clark.\u00a0Neural mechanisms to exploit positional geometry for collision avoidance, Current Biology,\u00a02022,\u00a0https:\/\/doi.org\/10.1016\/j.cub.2022.04.023. Summary &#8220;Visual motion provides rich geometrical cues about the three-dimensional configuration of the world. However, how brains decode the spatial information carried by motion signals remains poorly understood. Here, we study a collision-avoidance behavior in Drosophila as a simple model [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[987,96,346],"tags":[1013,1014],"_links":{"self":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/2630"}],"collection":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2630"}],"version-history":[{"count":1,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/2630\/revisions"}],"predecessor-version":[{"id":2631,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=\/wp\/v2\/posts\/2630\/revisions\/2631"}],"wp:attachment":[{"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2630"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2630"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/braininspirednavigation.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}