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Institute Affiliation:
The Salk Institute for Biological Studies
Contact Information:
Email:
terry@salk.edu
Personal Home Page
Research Page
| | Terrence Sejnowski - Adjunct Professor
Computational neurobiology.
The research in Professor Sejnowski's laboratory ranges from experimental studies of the biophysical mechanisms underlying neural computation, to large-scale cortical models of visual processing and sensorimotor coordination. The ultimate goal of this research is to provide linking principles from neural mechanisms to behavior--to understand the computational resources of brains from the biophysical to the systems levels. Computational neuroscience is a relatively recent approach to understanding how nervous systems represent, process, store, and act upon information that is latent in the environment or is expressed genetically through developmental mechanisms. The central issues addressed in Sejnowski's research are how sensory information is represented in visual cortex, how memory representations are formed, and how visuo-motor transformations are adaptively organized. Network models based on the visual representation of motion, depth and space in the cerebral cortex are being explored. A major research effort in the laboratory is also devoted to studying the biophysics of synaptic integration and spike initiation using whole-cell patch recording, optical recording, and modeling techniques.
Capsule Bio:
Terrence Sejnowski is a UCSD Professor of Biology, and an Investigator at the Howard Hughes Medical Institute. He received his Ph.D. in physics from Princeton University in 1978. He was a postdoctoral fellow at Princeton University and the Harvard Medical School. Sejnowski served on the faculty of Johns Hopkins University and was a Wiersma Visiting Professor of Neurobiology and a Sherman Fairchild Distinguished Scholar at Caltech. Sejnowski is the co-author (with P.S. Churchland) of "The Computational Brain" (MIT Press, 1992).
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