Speaker: Tim Oleskiw, CCN, Flatiron Research Fellow
Location: The seminar will be a hybrid event--attendees can either join in-person in the Ingrid Daubechies Auditorium (162 Fifth Avenue, 2nd floor), or virtually via the Zoom link below.
Date: Friday, October 1st, 3 pm - 4 pm
Reception: Snacks and beverages will be served from 4 pm - 6 pm on the 162 Fifth Avenue rooftop
Title: Learning the computations of area V2
Abstract:
Recently physiology has shown that while neurons of cortical area V1 respond primarily to the local oriented contrast of a visual stimulus, neurons in downstream V2 are selective for the higher-order image statistics that distinguish natural scenes. However, a concise description of how V2 constructs complex feature selectivity from V1 outputs remains elusive.
In this talk, I’ll present a two-layer linear-nonlinear network mimicking areas V1 and V2 trained against single-unit data collected from awake and fixating primate. Confirming our theoretical predictions, we find qualitative differences between neural populations, with V2 neurons being well-described as localized differences of V1 afferent activity.
Ongoing analysis demonstrates that our computational model is consistent with an efficient code of higher-order visual features, providing a justification for the receptive field structures observed within primate area V2.
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Meeting ID: 930 8992 9455
Passcode: 910493
International numbers available: https://simonsfoundation.zoom.us/u/acsNvzIoTz
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Meeting ID: 930 8992 9455
Passcode: 910493