Alexandre Pouget
Affiliations: Faculty of Medicine, Department of Basic Neurosciences
Group name: Laboratory of cognitive computational neuroscience
Domains: Perception, Attention and Cognition
Keywords: computation, decision making, neural circuits, uncertainty
Research activities
The goal of our research is to uncover general principles of representation and computation in neural circuits. Most computations of interest, such as recognizing an object or making a decision, are performed in the presence of high uncertainty. Recent behavioral work in humans and animals has shown that the nervous system handles this uncertainty near optimally, which is to say that the brain represents probability distributions over variables of interest and combine these distributions according to the laws of statistical inference. Our current work focuses on understanding how these inferences are performed at the neuronal level using a type of neural code known as population code. We apply our theory to a variety of domains, including decision making, multisensory integration, number representation, early visual processing and perceptual learning.
Key publications
Optimal policy for multi-alternative decisions.
A probabilistic approach to demixing odors.
Confidence and certainty: distinct probabilistic quantities for different goals.
A better way to crack the brain.
Information-limiting correlations.
Hide the members of the Lab
Prof. Alexandre Pouget
+41 22 37 94 699
alexandre.pouget@unige.ch
Gaëlle Chapuis
+41 22 37 95 641
gaelle.chapuis@unige.ch
Charles Findling
+41 22 37 95 333
charles.findling@unige.ch
Berk Gercek
+41 22 37 95 333
berk.gercek@unige.ch
Félix Hubert
+41 22 37 94 701
felix.hubert@unige.ch
Nisheet Patel
+41 22 37 95 333
nisheet.patel@unige.ch
Laurena Python
+41 22 37 94 701
laurena.python@unige.ch
Reidar Riveland
+41 22 37 95 641
reidar.riveland@unige.ch
Pablo Tano Retamales
+41 22 37 95 333
pablo.tanoretamales@unige.ch
Videos
Contact
Faculté de médecine
Université de Genève
Email: Alexandre.Pouget@unige.ch