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Dr. Yashar Ahmadian, University of Cambridge
Thursday 26 November 2020, 14:00-15:00
A canonical brain computation: from mechanism to purpose
- 👤 Speaker: Dr. Yashar Ahmadian, University of Cambridge
- 📅 Date & Time: Thursday 26 November 2020, 14:00 - 15:00
- 📍 Venue: Online (Zoom)
Abstract
To support global perception, neural networks in the cerebral cortex have to integrate information across local stimulus features. Such integration manifests, for example, in “normalization”: the sublinear summation of responses to combinations of local features. Normalization is performed across cortical areas and is considered a canonical brain computation. While normalization is typically sub-additive and suppressive, its sublinearity weakens with diminishing stimulus strength. I will start by reviewing a parsimonious model of cortical circuitry which mechanistically explains this weakening, and moreover predicts a transition to facilitative and super-additive multi-feature integration for weak stimuli. I will then present a normative theory of this transition in the case of the primary visual cortex. I will show how the notion of optimal coding of natural scenes, in the presence of biological noise, robustly predicts the same transition from sub- to super-additive multi-input integration.
Zoom link: https://zoom.us/j/99373703786
Series This talk is part of the CUED Control Group Seminars series.
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