Terrence J. Sejnowski
Salk Institute for Biological Studies
883 Papers
5.9K Citations
Terrence J. Sejnowski is an academic researcher from Salk Institute for Biological Studies. The author has contributed to research in topics: Computer science & Excitatory postsynaptic potential. The author has an hindex of 155, co-authored 845 publications. Previous affiliations of Terrence J. Sejnowski include Johns Hopkins University & University of Maryland, College Park.
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Papers
An information-maximization approach to blind separation and blind deconvolution
TL;DR: It is suggested that information maximization provides a unifying framework for problems in "blind" signal processing and dependencies of information transfer on time delays are derived.
A learning algorithm for boltzmann machines
TL;DR: A general parallel search method is described, based on statistical mechanics, and it is shown how it leads to a general learning rule for modifying the connection strengths so as to incorporate knowledge about a task domain in an efficient way.
4.1K
Thalamocortical oscillations in the sleeping and aroused brain
TL;DR: Analysis of cortical and thalamic networks at many levels, from molecules to single neurons to large neuronal assemblies, with a variety of techniques, is beginning to yield insights into the mechanisms of the generation, modulation, and function of brain oscillations.
3.7K
Removing electroencephalographic artifacts by blind source separation.
Tzyy-Ping Jung,Tzyy-Ping Jung,Scott Makeig,Colin Humphries,Te-Won Lee,Te-Won Lee,Martin J. McKeown,Vicente J. Iragui,Terrence J. Sejnowski,Terrence J. Sejnowski +9 more
TL;DR: The results on EEG data collected from normal and autistic subjects show that ICA can effectively detect, separate, and remove contamination from a wide variety of artifactual sources in EEG records with results comparing favorably with those obtained using regression and PCA methods.
3.3K
Running enhances neurogenesis, learning, and long-term potentiation in mice
TL;DR: The results indicate that physical activity can regulate hippocampal neurogenesis, synaptic plasticity, and learning.