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Sampling-based probabilistic representation and computation in the cortex| old_uid | 17671 |
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| title | Sampling-based probabilistic representation and computation in the cortex |
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| start_date | 2019/04/08 |
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| schedule | 11h |
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| online | no |
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| location_info | Bât. 452, Amphithéâtre du Neurocampus |
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| details | invité par Dezso NEMETH |
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| summary | I will present a framework and a combined empirical
-computational program that
explores what computation and cortical neural representation could underlie intelligent
behaviour. I will start by giving a brief summary of the fundamental logic of the sampling
-
based probabilistic framework. Next, I p
rovide evidence that a model built in these
principles can replicate and normatively explain not only classic results of the emergence
of simple cell receptive fields, but also reduction of membrane potential variance at high
contrast, quenching variability at stimulus onset, sparsification of spiking with stimuli
covering the non-
classical receptive field and features of spontaneous activity. I will also
provide developmental evidence for the emergence of such representation in the cortex. |
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| responsibles | CRNL |
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