Výsledky vyhledávání - "Sohn, Hansem"

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Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task

Autor: Li, Jason, Watters, Nicholas, Yingting, Wang, Sohn, Hansem, Jazayeri, Mehrdad

From smoothly pursuing moving objects to rapidly shifting gazes during visual search, humans employ a wide variety of eye movement strategies in different contexts. While eye movements provide a rich window into mental processes, building generative

Externí odkaz: http://arxiv.org/abs/2212.10367

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Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity

Autor: Pei, Felix, Ye, Joel, Zoltowski, David, Wu, Anqi, Chowdhury, Raeed H., Sohn, Hansem, O'Doherty, Joseph E., Shenoy, Krishna V., Kaufman, Matthew T., Churchland, Mark, Jazayeri, Mehrdad, Miller, Lee E., Pillow, Jonathan, Park, Il Memming, Dyer, Eva L., Pandarinath, Chethan

Advances in neural recording present increasing opportunities to study neural activity in unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this rich activity across diverse neural systems and behaviors, as LVMs do

Externí odkaz: http://arxiv.org/abs/2109.04463

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Akademický článek

Validating model-based Bayesian integration using prior–cost metamers

Autor: Sohn, Hansem, Jazayeri, Mehrdad

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America, 2021 Jun . 118(25), 1-10.

Externí odkaz: https://www.jstor.org/stable/27041115

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Parametric control of flexible timing through low-dimensional neural manifolds

Autor: Beiran, Manuel, Meirhaeghe, Nicolas, Sohn, Hansem, Jazayeri, Mehrdad, Ostojic, Srdjan

Publikováno v: Neuron. 111:739-753.e8

Code and Data from "Parametric control of flexible timing through low-dimensional neural manifolds" by Manuel Beiran*, Nicolas Meirhaeghe*, Hansem Sohn, Mehrdad Jazayeri, Srdjan Ostojic; doi:https://doi.org/10.1101/2021.11.08.467806

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb4bda0cb0bad1539e5c0e8d32aa737a
https://doi.org/10.1016/j.neuron.2022.12.016

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