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  A new computational framework for understanding vision in our brain

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. doi:10.1186/s12868-020-00593-1.

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Zhaoping, L1, 2, Author           
Affiliations:
1Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017467              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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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 Dates: 2020-072020-12
 Publication Status: Issued
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 Identifiers: DOI: 10.1186/s12868-020-00593-1
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Title: 29th Annual Computational Neuroscience Meeting (CNS*2020)
Place of Event: Melbourne, Australia
Start-/End Date: 2020-07-18 - 2020-07-22
Invited: Yes

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Title: BMC Neuroscience
Source Genre: Journal
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Publ. Info: BioMed Central
Pages: - Volume / Issue: 21 (Supplement 1) Sequence Number: K2 Start / End Page: 1 Identifier: ISSN: 1471-2202
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905018