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 Pasupathy,Anitha, Ph.D.
Assistant Professor
I-545 HSB
206 685-0768
When we look at a complex visual scene, the signal that reaches our eyes is transformed into increasingly complex sets of activity patterns in successive processing stages in the brain. These
activity patterns underlie our ability to perceive and recognize an infinite number of visual objects rapidly
and effortlessly – a feat unmatched by even the most cutting edge computer recognition systems.
The long-term goal of research in my laboratory is to understand the neural basis of this crucial capacity.
Our current research is aimed at deciphering the bases of visual object representations in the primate brain
, how these representations are derived in the successive processing stages and, finally, how these
representations inform behavior. We use single cell neurophysiological studies in awake monkeys,
behavioral manipulations, computational modeling and reversible inactivation techniques to address these
questions and determine the neural computations that underlie this cognitive capacity.
PUBLICATIONS
A. Pasupathy,
E. K. Miller., 2005. Different timecourses of learning-related activity in the prefrontal cortex and striatum. Nature. 433: 873-876.
C. E. Connor, A. Pasupathy.,
2004. Shape representation in ventral pathway visual cortex. Brain- Inspired IT I, International Congress Series. 1269.
A. Pasupathy, C. E. Connor., 2002. Population coding of shape in area V4. Nat. Neurosci. 5: 1332-1338,
News and Views, 1252-1254.
A. Pasupathy
, C. E. Connor., 2001. Shape representation in area V4: Position-specific tuning for boundary conformation. J. Neurophysiol. 86: 2505-2519.
A. Pasupathy, C. E. Connor., 1999. Responses to contour features in macaque area V4. J. Neurophysiol.
82: 2490-2502.
Y. Si, J. Gotman, A. Pasupathy,
D. Flanagan, B. Rosenblatt & R.Gottesman., 1998. An expert system for EEG monitoring in the pediatric intensive care unit. Electroenceph. Clin. Neurophysiol. 106(6): 488-500.
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