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Terrence J. Sejnowski Computational Neuroscientist

The long range goal of Terrence Sejnowski’s research is to build bridges between brain levels from the biophysical properties of synapses to the function of neural systems, using combined experimental and computational approaches. The central issues he addresses are how dendrites integrate synaptic signals in neurons, how neural circuits generate behaviour, and how learning and sleep adaptively modify these circuits. Fast-spiking parvalbumin-positive interneurons are the focus of both computational and experimental studies of attention in the visual cortex and dysfunction in schizophrenia. Synapses are explored with Monte Carlo methods (MCell) and brain activity is analyzed with the independent components analysis (ICA).


Elected Member of the National Academy of Engineering, 2011.

Elected Member of the National Academy of Sciences, 2010.

Member of the National Research Council of National Academies, 2008.

Elected Member of the National Academy of Medicine, 2008.

Elected Fellow of the American Association Advancement of Science, 2006.

Relevant Publications

R. Lister et al, "Global epigenomic reconfiguration during mammalian brain development," Science, vol. 341, pp. 629, 2013.

S. B. Laughlin and T. J. Sejnowski, "Communication in neuronal networks," Science, vol. 301, pp. 1870-1874, 2003.

J. S. Coggan et al, "Evidence for ectopic neurotransmission at a neuronal synapse," Science, vol. 39, pp. 446-451, 2005.

D.M. Eagleman and T.J. Sejnowski, "Motion integration and postdiction in visual awareness," Science vol. 287, pp. 2036-2038, 2000.

A. N. Meltzoff et al, "Foundations for a new science of learning," Science, vol. 325, pp. 284-288, 2009.



Advisor Learning in Machines & Brains


Salk Institute for Biological StudiesComputational Neurobiology Laboratory


PhD, (Physics) Princeton University

BS, (Physics) Case Western Reserve University


United States

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