Jun 6, 2023 · To improve selection of pattern completion neurons in vivo, we computed a novel latency metric that was correlated with PCC and could ...
Jun 6, 2023 · We found that neurons that strongly activated ensembles could complete patterns when the average ensemble voltage was far from the threshold.
Jun 6, 2023 · We improved the understanding of such pattern completion properties by developing a computational model of the visual cortex that recapitulated ...
Identifying properties of pattern completion neurons in a computational model of the visual cortex · Casey M. Baker, Yiyang Gong · Published in PLoS Comput. Biol.
Neurons with higher overall ensemble recall rates could achieve a 5% recall rate at voltages further from threshold. (D) Graph theory parameters helped predict ...
Title: Identifying properties of pattern completion neurons in a computational model of the visual cortex. ; Language: English ; Authors: Baker, Casey M. · (AUTHOR)
In this study, we optimized the selection of pattern completion neurons in simulated ensembles. We developed a computational model that replicated the ...
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Identifying Properties of Pattern Completion Neurons in a Computational Model of the Visual Cortex. Follow. Published on 2023-04-03 - 18:09 by casey baker ...
Oct 13, 2021 · In this study, we use a computational method, CRFs, to identify pattern completion neurons in calcium imaging recordings of mouse visual cortex ...
Sep 7, 2023 · We present PatMap, a computational toolbox for identifying pattern-completion neurons, key trigger cells capable of reactivating entire neuronal ensembles.