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A new computational framework for understanding vision in our brain

Computational Neuroscience, Cognition, Vision Science and seminar by Prof. Zhaoping Li, University of Tuebingen and Max Planck Institute

Hosted by CNS 2020

Sunday 17:00–18:10 Berlin (GMT+2)

Ended

Online

Abstract

Visual attention selects only a tiny fraction of visual input information for further processing. Selection starts in the primary visual cortex (V1), which creates a bottom-up saliency map to guide the fovea to selected visual locations via gaze shifts. This motivates a new framework that views vision as consisting of encoding, selection, and decoding stages, placing selection on center stage. It suggests a massive loss of non-selected information from V1 downstream along the visual pathway. Hence, feedback from downstream visual cortical areas to V1 for better decoding (recognition), through analysis-by- synthesis, should query for additional information and be mainly directed at the foveal region. Accordingly, non-foveal vision is not only poorer in spatial resolution, but also more susceptible to many illusions.

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