Marlene R. Cohen

"Marlene Cohen"
Mean distance: 13.07 (cluster 17)


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William T. Newsome grad student 2007 Stanford
 (Dynamics and flexibility of population coding in the middle temporal area.)
John HR Maunsell post-doc 2007-2012


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Regina Chang research assistant 2011- University of Pittsburgh
David Montez grad student 2012-
M. Gabriela Costello post-doc
Amy M. Ni post-doc University of Pittsburgh
Douglas Ruff post-doc 2012-
BETA: Related publications


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Ruff DA, Cohen MR. (2019) Simultaneous multi-area recordings suggest that attention improves performance by reshaping stimulus representations. Nature Neuroscience
Yuk JS, Baek JC, Park JE, et al. (2019) Incidence of gestational trophoblastic disease in South Korea: a longitudinal, population-based study. Peerj. 7: e6490
Huang C, Ruff DA, Pyle R, et al. (2018) Circuit Models of Low-Dimensional Shared Variability in Cortical Networks. Neuron
Ruff DA, Brainard DH, Cohen MR. (2018) Neuronal population mechanisms of lightness perception. Journal of Neurophysiology
Ruff DA, Ni AM, Cohen MR. (2018) Cognition as a Window into Neuronal Population Space. Annual Review of Neuroscience
Ruff DA, Cohen MR. (2017) A normalization model suggests that attention changes the weighting of inputs between visual areas. Proceedings of the National Academy of Sciences of the United States of America
Ruff DA, Cohen MR. (2016) Stimulus Dependence of Correlated Variability across Cortical Areas. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 7546-56
Ruff DA, Cohen MR. (2016) Attention Increases Spike Count Correlations between Visual Cortical Areas. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 7523-34
Ruff DA, Alberts JJ, Cohen MR. (2016) Relating normalization to neuronal populations across cortical areas. Journal of Neurophysiology. jn.00017.2016
Oby ER, Perel S, Sadtler PT, et al. (2016) Extracellular voltage threshold settings can be tuned for optimal encoding of movement and stimulus parameters. Journal of Neural Engineering. 13: 036009
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