Terrence J. Sejnowski



  • Advisor
  • Learning in Machines & Brains


  • Salk Institute for Biological Studies
Department of Computational Neurobiology Laboratory


  • United States


PhD (Physics), Princeton University
BS (Physics), Case Western Reserve University


Terrence Sejnowski is a computational neuroscientist. The long-range goal of his 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).


Member of the National Academy of Engineering, 2011

Member of the National Academy of Sciences, 2010

Member of the National Research Council of National Academies, 2008

Member of the National Academy of Medicine, 2008

Fellow of the American Association for the Advancement of Science, 2006

Relevant Publications

Lister, R. et al. "Global epigenomic reconfiguration during mammalian brain development." Science 341 (2013): 629.

Laughlin, S.B., and T.J. Sejnowski. "Communication in neuronal networks." Science 301 (2003): 1870–1874.

Coggan, J.S. et al. "Evidence for ectopic neurotransmission at a neuronal synapse." Science 39 (2005): 446–51.

Eagleman, D.M., and T.J. Sejnowski. "Motion integration and postdiction in visual awareness." Science 287 (2000): 2036–2038.

Meltzoff, A.N. et al. "Foundations for a new science of learning." Science 325 (2009): 284 - 88.