Computational Cognitive Neuroscience Laboratory
Several postdoc positions are available at the university of Geneva, Switzerland, in Sept 2011, where I will be located next year. Click here for more details.
(All publications click here)
Please note that multiple distribution, publication or commercial usage of this copyrighted papers would require submission of a permission request addressed to the journal in which the paper appeared.
Not noisy, just wrong. The impact of approximate inference on neuronal and behavioral variability.
Neuron. 74(1):30-9. 2012. PDF.
Neural correlates of reliability-based cue weighting during multisensory
Nature Neuroscience. 15(1):146-54.818. 2012. PDF.
Marginalization in neural circuits with divisive normalization. Beck, J., Latham, P.E. and Pouget, A.
Journal of Neuroscience. 31(43):15310 –15319. 2011. PDF.
Bayesian sampling in visual
PNAS. 108(30):12491-6. 2011.PDF including suppl info.
Behavioral and neural basis
of near optimal visual search.
Nature Neuroscience. 14(6):783-90. 2011.
Perceptual learning as improved probabilistic
inference in early sensory areas
Variance as a signature of neural computations during decision making.
Churchland, A.K., Kiani, R., Chaudhuri, R., Wang, X.J., Pouget, A., and Shadlen, M.N.
Improved probabilistic inference as a general learning mechanism with action video games.
Green, C.S., Pouget, A. and Bavelier, D.
Current Biology. PDF.
Probabilistic population codes for Bayesian decision making.
Neural correlations, population coding and
Reference frames for representing the location
of visual and tactile stimuli in the
Tuning curve sharpening for
orientation selectivity: coding efficiency and the impact of
Basis functions for object-centered representations.
A Computational Perspective on the Neural Basis of Multisensory Spatial
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.