Terrence J. Sejnowski
Affiliations: | Computational Neurobiology Laboratory | Salk Institute for Biological Studies, La Jolla, CA, United States | |
| Neurosciences | University of California, San Diego, La Jolla, CA |
Area:
Computation & TheoryWebsite:
http://www.cnl.salk.edu/Google:
"Terrence J. Sejnowski"Bio:
http://www.nasonline.org/member-directory/members/20002157.html
Mean distance: 10.45 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| John Archibald Wheeler | research assistant | 1970 | Princeton (Physics Tree) | |
| (M. A.) | ||||
| John J. Hopfield | grad student | 1978 | Princeton | |
| (A stochastic model of nonlinearly interacting neurons) | ||||
| Alan Gelperin | post-doc | 1978-1979 | Princeton | |
| Stephen W. Kuffler | post-doc | 1979-1982 | Harvard Medical School | |
Children
Sign in to add traineeCollaborators
Sign in to add collaborator| April A Benasich | collaborator | Salk Institute for Biological Studies, and University of California, San Diego | |
| Christopher Bowd | collaborator | ||
| Patricia Churchland | collaborator | UCSD | |
| Xin Yu | collaborator | 2015- | |
| Mircea Steriade | collaborator | 1990-2006 | Salk Institute |
| Jason S. Sherfey | collaborator | 2009-2010 | The Salk Institute for Biological Studies & UCSD |
BETA: Related publications
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Publications
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| Zador A, Escola S, Richards B, et al. (2023) Catalyzing next-generation Artificial Intelligence through NeuroAI. Nature Communications. 14: 1597 |
| Rungratsameetaweemana N, Lainscsek C, Cash SS, et al. (2022) Brain network dynamics codify heterogeneity in seizure evolution. Brain Communications. 4: fcac234 |
| Chen Y, Bukhari Q, Lin TW, et al. (2022) Functional connectivity of fMRI using differential covariance predicts structural connectivity and behavioral reaction times. Network Neuroscience (Cambridge, Mass.). 6: 614-633 |
| Bermperidis T, Schafer S, Gage FH, et al. (2022) Dynamic Interrogation of Stochastic Transcriptome Trajectories Using Disease Associated Genes Reveals Distinct Origins of Neurological and Psychiatric Disorders. Frontiers in Neuroscience. 16: 884707 |
| Grün S, Li J, McNaughton B, et al. (2022) Emerging principles of spacetime in brains: Meeting report on spatial neurodynamics. Neuron. 110: 1894-1898 |
| Chen Y, Rosen BQ, Sejnowski TJ. (2022) Dynamical differential covariance recovers directional network structure in multiscale neural systems. Proceedings of the National Academy of Sciences of the United States of America. 119: e2117234119 |
| Li J, Pinto-Duarte A, Zander M, et al. (2022) knockout in excitatory neurons impairs postnatal synapse maturation and increases the repressive histone modification H3K27me3. Elife. 11 |
| Garcia JW, Bartol TM, Sejnowski TJ. (2022) Multiscale modeling of presynaptic dynamics from molecular to mesoscale. Plos Computational Biology. 18: e1010068 |
| Rungratsameetaweemana N, Kim R, Serences JT, et al. (2022) Probabilistic visual processing in humans and recurrent neural networks. Journal of Vision. 22: 24 |
| Wagner M, Bartol TM, Sejnowski TJ, et al. (2021) Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing. Frontiers in Neuroscience. 15: 698635 |