Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Olivier J. Hénaff"'
Autor:
Olivier J. Hénaff, Yoon Bai, Julie A. Charlton, Ian Nauhaus, Eero P. Simoncelli, Robbe L. T. Goris
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Many behaviours depend on predictions about the environment. Here the authors find neural populations in primary visual cortex to straighten the temporal trajectories of natural video clips, facilitating the extrapolation of past observations.
Externí odkaz:
https://doaj.org/article/2a41995f75e941d88c3764e0ed965046
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
How does the brain represent sensory uncertainty? The authors find that neural gain variability tracks stimulus uncertainty across the visual hierarchy and explain their findings with a simple generalization of canonical models of neural computation.
Externí odkaz:
https://doaj.org/article/5718853345a346548d9e07060e2c9e9f
Autor:
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelović
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89a467bd31f24c2ea7fe285e51bf921c
https://doi.org/10.1007/978-3-031-19812-0_8
https://doi.org/10.1007/978-3-031-19812-0_8
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Nature Communications
Nature Communications
Uncertainty is intrinsic to perception. Neural circuits which process sensory information must therefore also represent the reliability of this information. How they do so is a topic of debate. We propose a model of visual cortex in which average neu
Autor:
Julie A. Charlton, Ian Nauhaus, Robbe L. T. Goris, Yoon Bai, Olivier J. Hénaff, Eero P. Simoncelli
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communications
Nature Communications
Many sensory-driven behaviors rely on predictions about future states of the environment. Visual input typically evolves along complex temporal trajectories that are difficult to extrapolate. We test the hypothesis that spatial processing mechanisms
Publikováno v:
Nature Neuroscience. 22:984-991
Many behaviors rely on predictions derived from recent visual input, but the temporal evolution of those inputs is generally complex and difficult to extrapolate. We propose that the visual system transforms these inputs to follow straighter temporal
Uncertainty is intrinsic to perception. Neural circuits which process sensory information must therefore also represent the reliability of this information. How they do so is a topic of debate. We propose a view of visual cortex in which average neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3622c1e1377ed853a1c7cc4a173c62d2
https://doi.org/10.1101/724021
https://doi.org/10.1101/724021
Publikováno v:
Nature neuroscience. 22(6)
Many behaviors rely on predictions derived from recent visual input, but the temporal evolution of those inputs is generally complex and difficult to extrapolate. We propose that the visual system transforms these inputs to follow straighter temporal
Publikováno v:
Nature Neuroscience. 22:1036-1036
Publikováno v:
Journal of Vision. 17:402