DEC Colloquium

Contextual effects, image statistics, and deep learning

Practical information
07 December 2021
3:30pm
Place

On GoToMeeting

LSP

Neural responses and perception of visual inputs strongly depend on the spatial context, i.e., what surrounds a given object or feature. I will discuss our work on developing a visual cortical model based on the hypothesis that neurons represent inputs in a coordinate system that is matched to the statistical structure of images in the natural environment. The model generalizes a nonlinear computation known as normalization, that is ubiquitous in neural processing, and can capture some spatial context effects in cortical neurons. I will further discuss how we are incorporating such nonlinearities into deep neural networks.

Odelia Schwartz
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