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Terrence Sejnowski

Showing results (21-30 of 37) with videos related to

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Frontiers in Neuroscience|June 20, 2022
Dynamic Interrogation of Stochastic Transcriptome Trajectories Using Disease Associated Genes Reveals Distinct Origins of Neurological and Psychiatric DisordersTheodoros Bermperidis, Simon Schafer, Fred H Gage, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 13, 2012
Interactions between core and matrix thalamocortical projections in human sleep spindle synchronizationMaxime Bonjean, Tanya Baker, Maxim Bazhenov, et al.
Nature|October 8, 2020
Spontaneous travelling cortical waves gate perception in behaving primatesZachary W Davis, Lyle Muller, Julio Martinez-Trujillo, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 2, 2015
Modeling of Age-Dependent Epileptogenesis by Differential Homeostatic Synaptic ScalingOscar C González, Giri P Krishnan, Sylvain Chauvette, et al.
Neuroinformatics|October 9, 2013
VolRoverN: enhancing surface and volumetric reconstruction for realistic dynamical simulation of cellular and subcellular functionJohn Edwards, Eric Daniel, Justin Kinney, et al.
The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry|October 15, 2013
Glial biology in learning and cognitionR Douglas Fields, Alfonso Araque, Heidi Johansen-Berg, et al.
Investigative Ophthalmology & Visual Science|July 31, 2002
Using machine learning classifiers to identify glaucomatous change earlier in standard visual fieldsPamela A Sample, Michael H Goldbaum, Kwokleung Chan, et al.
Neuron|June 16, 2022
Emerging principles of spacetime in brains: Meeting report on spatial neurodynamicsSonja Grün, Jennifer Li, Bruce McNaughton, et al.
Investigative Ophthalmology & Visual Science|July 28, 2004
Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defectsPamela A Sample, Kwokleung Chan, Catherine Boden, et al.
Investigative Ophthalmology & Visual Science|January 5, 2002
Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetryMichael H Goldbaum, Pamela A Sample, Kwokleung Chan, et al.
Pageof 4

Showing results (21-30 of 37) with videos related to

Sort By:
Pageof 4
Frontiers in Neuroscience|June 20, 2022
Dynamic Interrogation of Stochastic Transcriptome Trajectories Using Disease Associated Genes Reveals Distinct Origins of Neurological and Psychiatric DisordersTheodoros Bermperidis, Simon Schafer, Fred H Gage, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 13, 2012
Interactions between core and matrix thalamocortical projections in human sleep spindle synchronizationMaxime Bonjean, Tanya Baker, Maxim Bazhenov, et al.
Nature|October 8, 2020
Spontaneous travelling cortical waves gate perception in behaving primatesZachary W Davis, Lyle Muller, Julio Martinez-Trujillo, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 2, 2015
Modeling of Age-Dependent Epileptogenesis by Differential Homeostatic Synaptic ScalingOscar C González, Giri P Krishnan, Sylvain Chauvette, et al.
Neuroinformatics|October 9, 2013
VolRoverN: enhancing surface and volumetric reconstruction for realistic dynamical simulation of cellular and subcellular functionJohn Edwards, Eric Daniel, Justin Kinney, et al.
The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry|October 15, 2013
Glial biology in learning and cognitionR Douglas Fields, Alfonso Araque, Heidi Johansen-Berg, et al.
Investigative Ophthalmology & Visual Science|July 31, 2002
Using machine learning classifiers to identify glaucomatous change earlier in standard visual fieldsPamela A Sample, Michael H Goldbaum, Kwokleung Chan, et al.
Neuron|June 16, 2022
Emerging principles of spacetime in brains: Meeting report on spatial neurodynamicsSonja Grün, Jennifer Li, Bruce McNaughton, et al.
Investigative Ophthalmology & Visual Science|July 28, 2004
Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defectsPamela A Sample, Kwokleung Chan, Catherine Boden, et al.
Investigative Ophthalmology & Visual Science|January 5, 2002
Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetryMichael H Goldbaum, Pamela A Sample, Kwokleung Chan, et al.
Pageof 4