Everything about Terrence Sejnowski totally explained
Terrence Joseph Sejnowski is an Investigator with the
Howard Hughes Medical Institute and is the
Francis Crick Professor at The
Salk Institute for Biological Studies where he directs the
Computational Neurobiology
Laboratory. He is also Professor of
Biological Sciences and Adjunct Professor in the Departments of
Neurosciences,
Psychology,
Cognitive Science, and
Computer Science and
Engineering at the
University of California, San Diego, where he's Director of the Institute for
Neural Computation. In 2004 he was named the Francis Crick Professor and the Director of the Crick-Jacobs Center for Theoretical and Computational Biology at the Salk Institute. His research in
neural networks and
computational neuroscience has been pioneering.
Education
Sejnowski received
B.S. in
physics from the
Case Western Reserve University,
M.A. in physics from
Princeton University, and a
Ph.D. in physics from Princeton University in 1978. From 1978-1979 Sejnowski was a
postdoctoral fellow in the Department of Biology at Princeton University and from 1979-1982 he was a postdoctoral fellow in the Department of Neurobiology at
Harvard Medical School. In 1982 he joined the faculty of the Department of
Biophysics at the
Johns Hopkins University, where he achieved the rank of Professor before moving to
San Diego, California in 1988. He has had a long-standing affiliation with the
California Institute of Technology, as a Wiersma Visiting Professor of Neurobiology in 1987, as a Sherman Fairchild Distinguished Scholar in 1993 and as a part-time Visiting Professor 1995-1998. In 2004 he was named the Francis Crick Professor at the Salk Institute and the Director of the Crick-Jacobs Center for Theoretical and Computational Biology.
Awards
Sejnowski received a Presidential Young Investigator Award in 1984 from the
National Science Foundation. He received the Wright Prize from the
Harvey Mudd College for excellence in
interdisciplinary research in 1996 and the
Hebb Prize for his contributions to
learning algorithms by the International Neural Network Society in 1999. He became a Fellow of the
Institute of Electrical and Electronics Engineers in 2000 and received their Neural Network Pioneer Award in 2002. In 2003 he was elected to the Johns Hopkins Society of Scholars.
Professional
In 1989, Sejnowski founded Neural Computation, published by the
MIT Press, the leading
journal in neural networks and computational neuroscience. He is also the President of the Neural Information Processing Systems Foundation, a
non-profit organization that oversees the annual
NIPS Conference. This interdisciplinary meeting brings together
researchers from many disciplines, including biology, physics,
mathematics, and
engineering. He co-invented the
Boltzmann machine with
Geoffrey Hinton and pioneered the application of learning algorithms to difficult problems in
speech (
NETtalk) and
vision.
The long-range goal of Sejnowski's research is to understand the computational resources of
brains and to build linking principles from brain to
behavior using
computational models. This goal is being pursued with a combination of
theoretical and
experimental approaches at several levels of investigation ranging from the biophysical level to the
systems level.
Hippocampal and
cortical slice preparations are being used to explore the properties of single neurons and
synapses, including the precision of
spike firing and the influence of
neuromodulators. Biophysical models of
electrical and
chemical signal processing within neurons are used as an adjunct to
physiological experiments. New techniques have been developed for
modeling cell signaling using
Monte Carlo methods (MCell). The central issues being addressed are how
dendrites integrate synaptic signals in neurons, how networks of neurons generate dynamical patterns of activity, how
sensory information is represented in the cerebral cortex, how
memory representations are formed and
consolidated during
sleep, and how visuo-
motor transformations are adaptively organized. His laboratory has developed new methods for analyzing the sources for electrical and
magnetic signals recorded from the
scalp and
hemodynamic signals from functional
neuroimaging by
blind separation using
independent component analysis (ICA).
He has participated and spoken at the symposia in 2006 and 2007.
Further Information
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