Orientation Selectivity in Random Networks

GERMAN MATO

Sao Paulo

Conferencia; LASCON 2018: VII Latin American School on Computational Neuroscience; 2018

NeuroMat ? Research, Innovation and Dissemination Center. for Neuromathematics

p { text-indent: 0.5in; margin-bottom: 0.08in; border: medium none; padding: 0in; color: rgb(0, 0, 0); }p.western { font-family: "Times New Roman",serif; font-size: 10pt; }p.cjk { font-family: "Times New Roman",serif; font-size: 10pt; }p.ctl { font-family: "Times New Roman",serif; font-size: 10pt; }a:link { color: rgb(0, 0, 0); }Westudy theconnectivity principles underlying the emergence of orientationselectivity in primary visual cortex (V1) of mammals lacking anorientation map.We present a computational model in which random connectivity givesrise to orientation selectivity that matches experimentalobservations. It predicts that mouse V1 neurons should exhibitintricate receptive fields inthe two-dimensional frequency domain,causing shift in orientationpreferences with spatial frequency. We show evidence for suchreceptive fields in mouse V1 using calcium imaging and intracellularwhole cell r