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New York University (NYU)
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Schedule
Wednesday, December 7, 2022
12:00 AM America/New_York
Recording provided by the organiser.
Domain
NeuroscienceHost
van Vreeswijk TNS
Duration
70 minutes
Behavioral studies have demonstrated that certain task features reliably enhance classification performance for challenging visual stimuli. These include extended image presentation time and the valid cueing of attention. Here, I will show how convolutional neural networks can be used as a model of the visual system that connects neural activity changes with such performance changes. Specifically, I will discuss how different anatomical forms of recurrence can account for better classification of noisy and degraded images with extended processing time. I will then show how experimentally-observed neural activity changes associated with feature attention lead to observed performance changes on detection tasks. I will also discuss the implications these results have for how we identify the neural mechanisms and architectures important for behavior.
Grace Lindsay
New York University (NYU)
neuro
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