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A new computational framework for understanding vision in our brain

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Zhaoping,  L
Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Zhaoping, L. (2020). A new computational framework for understanding vision in our brain. Talk presented at 29th Annual Computational Neuroscience Meeting (CNS*2020). Melbourne, Australia. 2020-07-18 - 2020-07-22.


Cite as: http://hdl.handle.net/21.11116/0000-0006-B47D-3
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.