Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Marlene R. Cohen"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Sensory-guided behavior requires reliable encoding of stimulus information in neural populations, and flexible, task-specific readout. The former has been studied extensively, but the latter remains poorly understood. We introduce a theory f
Externí odkaz:
https://doaj.org/article/b811dfc785ab4f47992e48d8d56e3ef9
Autor:
Na Young Jun, Douglas A Ruff, Lily E Kramer, Brittany Bowes, Surya T Tokdar, Marlene R Cohen, Jennifer M Groh
Publikováno v:
eLife, Vol 11 (2022)
Sensory receptive fields are large enough that they can contain more than one perceptible stimulus. How, then, can the brain encode information about each of the stimuli that may be present at a given moment? We recently showed that when more than on
Externí odkaz:
https://doaj.org/article/cf89de33b5f542f68b80f97436989054
Publikováno v:
eLife, Vol 11 (2022)
Improvements in perception are frequently accompanied by decreases in correlated variability in sensory cortex. This relationship is puzzling because overall changes in correlated variability should minimally affect optimal information coding. We hyp
Externí odkaz:
https://doaj.org/article/a5d0e0eb8a914e8f856c18e845e74633
Autor:
Nicole C. Rust, Marlene R. Cohen
Publikováno v:
Nature Reviews Neuroscience. 23:376-388
Autor:
Brittany S. Bowes, Kramer Le, Marlene R. Cohen, Douglas A. Ruff, Surya T. Tokdar, Jennifer M. Groh, Na Young Jun
Publikováno v:
eLife. 11
Sensory receptive fields are large enough that they can contain more than one perceptible stimulus. How, then, can the brain encode information abouteachof the stimuli that may be present at a given moment? We recently showed that when more than one
Publikováno v:
eLife, Vol 6 (2017)
The circuit mechanisms behind shared neural variability (noise correlation) and its dependence on neural state are poorly understood. Visual attention is well-suited to constrain cortical models of response variability because attention both increase
Externí odkaz:
https://doaj.org/article/671dbfca9db642328c755f526e99a666
It is widely accepted that there is an inextricable link between neural computations, biological mechanisms, and behavior, but it is challenging to simultaneously relate all three. Here, we show that topological data analysis (TDA) provides an import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::769760b76c4dc58366859c2944fdd0ce
https://doi.org/10.1101/2021.09.24.461717
https://doi.org/10.1101/2021.09.24.461717
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0136570 (2015)
Neurophysiological studies of cognitive mechanisms such as visual attention typically ignore trial-by-trial variability and instead report mean differences averaged across many trials. Advances in electrophysiology allow for the simultaneous recordin
Externí odkaz:
https://doaj.org/article/c0cd8e3f4f234b2c997777082af6e147