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William Newsome

Contact Information

  • Academic Offices
    Personal Information
    Administrative Contact
    Susan Matthews Administrative Assistant Tel Work 650-723-7109

Administrative Appointments

  • Scientific Advisory Board, Riken Brain Sciences Institute, Tokyo , (2003– present )
  • Correspondent, Committee on Human Rights, National Academy of Sciences , (2001– present )
  • Chairman, Department of Neurobiology , (2005– present )

Honors and Awards

  • Dan David Prize, Dan David Foundation and Tel Aviv University (2004)
  • Distinguished Scientific Contribution Award, American Psychological Association (2002)
  • Elected to membership, National Academy of Sciences, USA (2000)
  • Investigator, Howard Hughes Medical Institute (1997)
  • Guggenheim Fellowship, Guggenheim Foundation (1995)
  • Fogarty International Senior Research Fellowship, Fogarty International Center, NIH (1995)
  • W. Alden Spencer Award for highly original contributions to research in neurobiology, Columbia University (1994)
  • MERIT Award, National Eye Institute (1993)
  • The Rank Prize in Optoelectronics, The Rank Prize Funds, London (1992)
  • Henry J. Kaiser Award for Excellence in Teaching, Students of the Stanford University School of Medicine (1991, 1997)
  • Award for Outstanding Service to Graduate Students, Students, Stanford University School of Medicine (2003)

Professional Education

  • Ph.D., California Inst. of Technology Neurobiology (1980)

Graduate & Fellowship Program Affiliations

Research Interests

The long-term goal of our research is to understand the neuronal processes that mediate visual perception and visually guided behavior. To this end we are conducting parallel behavioral and physiological experiments in animals that are trained to perform selected perceptual or eye movement tasks. By recording the activity of cortical neurons during performance of such tasks, we gain initial insights into the relationship of neuronal activity to the animal's behavioral capacities. Hypotheses concerning this relationship are tested by modifying neural activity within local cortical circuits to determine whether behavior is effected in a predictable manner. Computer modelling techniques are then used to develop more refined hypotheses concerning the relationship of brain to behavior that are both rigorous and testable. This combination of behavioral, electrophysiological and computational techniques provides a realistic basis for neurophysiological investigation of cognitive functions such as perception, memory and motor planning.

Publications