Terrence J. Sejnowski

Author

Salk Institute for Biological Studies ORCID

Also Known As

David L. Braff, Dongsung Huh, Fellous, Jean-Marc, Filimon, Flavia, Salinas, Emilio, Schreiber, Susanne, Sejnowski, Terrence, Sejnowski, Terrence J, Sejnowski, Terrence J., T J Sejnowski

993

Publications

112.4K

Citations

152

H-Index

442

Concepts

All Affiliations

Salk Institute for Biological Studies University of California San Diego Howard Hughes Medical Institute Johns Hopkins University

About

Terrence J. Sejnowski is an author at Salk Institute for Biological Studies specializing in neuroscience, social sciences, and medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	54	89	29.6K
2	Health Sciences	19	21	1.6K
3	Education	4	4	301
4	Business	3	3	290
5	Humanities	1	1	39

Terrence J. Sejnowski

441

Publications

91.9K

Citations

131

H-Index

Page 1

	Year	Citations
An Information-Maximization Approach to Blind Separation and Blind Deconvolution Anthony J. Bell, Terrence J. Sejnowski Neural Computation Source SeparationEngineeringMachine LearningUnknown MixturesSpeech Recognition	1995	9.1K
A Learning Algorithm for Boltzmann Machines* David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski Cognitive Science EngineeringMachine LearningLearning AlgorithmComputational ComplexityData Science	1985	3.3K
Removing electroencephalographic artifacts by blind source separation Tzyy‐Ping Jung, Scott Makeig, Colin Humphries, Psychophysiology Source SeparationEye MovementsData ScienceNeurophysiologyEeg Signal Processing	2000	3.1K
Running enhances neurogenesis, learning, and long-term potentiation in mice Henriette van Praag, Brian R. Christie, Terrence J. Sejnowski, Proceedings of the National Academy of Sciences Synaptic PlasticityPhysical ActivityMolecular NeuroscienceNeural ScienceIncreases Neurogenesis	1999	2.9K
Reliability of Spike Timing in Neocortical Neurons Zachary F. Mainen, Terrence J. Sejnowski Science Cognitive ScienceNeural MechanismSensory NeuroscienceNeurodynamicsNeurophysiology	1995	2K
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources Te-Won Lee, Mark Girolami, Terrence J. Sejnowski Neural Computation Source SeparationEngineeringMachine LearningMixed SubgaussianExtended Infomax Algorithm	1999	2K
Independent Component Analysis of Electroencephalographic Data Scott Makeig, Anthony J. Bell, Tzyy‐Ping Jung,	1995	1.9K
Face recognition by independent component analysis Marian Stewart Bartlett, Javier R. Movellan, Terrence J. Sejnowski IEEE Transactions on Neural Networks Face DetectionFacial Recognition SystemMachine VisionImage AnalysisData Science	2002	1.9K
Analysis of fMRI data by blind separation into independent spatial components Martin J. McKeown, Scott Makeig, Greg Brown, Human Brain Mapping NeuropsychologyNeurolinguisticsFmri DataBrain MappingAttention	1998	1.9K
Global Epigenomic Reconfiguration During Mammalian Brain Development Ryan Lister, Eran A. Mukamel, Joseph R. Nery, Science	2013	1.9K

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