Alexandre Pouget
Brain and Cognitive Science Dept
402 Meliora Hall
University of Rochester
Rochester, NY 14627
Phone: (585) 275 0760
Fax: (585) 442 9216






My laboratory is part of the Center for Visual Science and the department of Brain and Cognitive Sciences at the University of Rochester.

The goal of our  research is to uncover general principles of computation in neural circuits, and more particularly, cortical circuits. Answering this question is critical to understanding how the brain performs a wide variety of tasks, including seeing, hearing, representing the external world, making decisions or controlling motor behavior.

We choose to focus on this general problem rather than any of those specific issues because there is mounting evidence that they all share common computational principles. For instance, the fact that the neural circuitry is remarkably similar throughout the cortex is a strong indication that there is one, or several, general principles at work, independent of the particular function being implemented. Interestingly, the last few years have seen the emergence of a general theory of neural computation which provides a unifying framework to understand human behavior in wide variety of seemingly unrelated domains such as visual perception, cue integration, multisensory integration, decision making, language acquisition, concept acquisition and motor control. This theory is known as the theory of statistical inferences, or Bayesian inferences. The long term goal of my laboratory is to understand how these Bayesian inferences are implemented in neural circuits.  Our work is based primarily on a combination of simulations and mathematical analysis of the dynamics of large neural networks with more specific applications to multisensory integration, sensorimotor transformations, decision making, perceptual learning, motor control and attention. We also collaborate with experimentalist to test various aspects of our theory.

Link to my Curriculum Vitae in PDF format.




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Selected List (Complete list)



Avilllac, M., Denève, S., Olivier, E., Pouget, A. and Duhamel, J.R.

        Reference frames for representing the location of visual and tactile stimuli in the parietal cortex.

        Nature Neuroscience. 8(6). 2005. PDF



Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations

        Series, P., Latham, P. and Pouget, A.

        Nature Neuroscience. 7(10):1129-1135. 2004. PDF



Basis functions for object-centered representations.
Deneve, S. and Pouget, A.
Neuron 37:347-359. 2003. PDF


A Computational Perspective on the Neural Basis of Multisensory Spatial Representations.
Pouget, A., Deneve, S and Duhamel, J.R.
Nature Review Neuroscience. 3:741-747. 2002.


Efficient computation and cue integration with noisy population codes.

Deneve, S., Latham, P.E. and Pouget, A.

Nature Neuroscience. 4(8):826-831. 2001. PDF



Computational approaches to sensorimotor transformations.

Pouget, A., and Snyder, L.

Nature Neuroscience. 3:1192-1198. 2000. PDF



Information processing with population codes.

Pouget, A, Zemel, R.S., and Dayan, P.

Nature Review Neuroscience. 1(2):125-132. 2000. PDF



Reading population codes: a neural implementation of ideal observers.
Deneve, S., Latham, P.E. and Pouget, A.
Nature Neuroscience. 2(8):740-745. 1999. PDF


Cai, R.H., Pouget, A., Schlag-Rey, M. and Schlag, J. 

Perceived geometrical relationships affected by eye movement signals.

Nature. 386:601-603. 1997.









Burma (Pagan), Thailand














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