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ORCIDAlexandre Pouget
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2020 – today
- 2022
[i1]Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath
, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao:
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR abs/2210.08340 (2022)- 2021
- [j11]Guillaume P. Dehaene, Ruben Coen Cagli, Alexandre Pouget:
Investigating the representation of uncertainty in neuronal circuits. PLoS Comput. Biol. 17(2) (2021) - [c19]Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar:
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) 2021: 233-250 - 2020
- [c18]Nisheet Patel, Luigi Acerbi, Alexandre Pouget:
Dynamic allocation of limited memory resources in reinforcement learning. NeurIPS 2020 - [c17]Pablo Tano, Peter Dayan, Alexandre Pouget:
A Local Temporal Difference Code for Distributional Reinforcement Learning. NeurIPS 2020
2010 – 2019
- 2018
- [j10]Kaushik J. Lakshminarasimhan, Alexandre Pouget, Gregory C. DeAngelis, Dora E. Angelaki, Xaq Pitkow:
Inferring decoding strategies for multiple correlated neural populations. PLoS Comput. Biol. 14(9) (2018) - 2017
- [j9]Joel Zylberberg, Alexandre Pouget, Peter E. Latham, Eric Shea-Brown:
Robust information propagation through noisy neural circuits. PLoS Comput. Biol. 13(4) (2017) - 2015
- [j8]Ingmar Kanitscheider, Ruben Coen Cagli, Adam Kohn, Alexandre Pouget:
Measuring Fisher Information Accurately in Correlated Neural Populations. PLoS Comput. Biol. 11(6) (2015) - 2014
- [c16]Jan Drugowitsch, Rubén Moreno-Bote, Alexandre Pouget:
Optimal decision-making with time-varying evidence reliability. NIPS 2014: 748-756 - 2013
- [c15]Samuel Gershman, Joshua B. Tenenbaum, Alexandre Pouget, Matthew M. Botvinick, Peter Dayan:
Structured cognitive representations and complex inference in neural systems. CogSci 2013 - [c14]Agnieszka Grabska-Barwinska, Jeffrey M. Beck, Alexandre Pouget, Peter E. Latham:
Demixing odors - fast inference in olfaction. NIPS 2013: 1968-1976 - 2012
- [c13]Kenji Doya, John P. O'Doherty, Alexandre Pouget, Peter Bossaerts, Nathaniel D. Daw, Yael Niv:
Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan. CogSci 2012 - [c12]Jeffrey M. Beck, Katherine A. Heller, Alexandre Pouget:
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models. NIPS 2012: 3068-3076 - 2011
- [j7]Jeffrey M. Beck, Vikranth R. Bejjanki, Alexandre Pouget:
Insights from a Simple Expression for Linear Fisher Information in a Recurrently Connected Population of Spiking Neurons. Neural Comput. 23(6): 1484-1502 (2011)
2000 – 2009
- 2008
- [j6]F. Klam, Richard S. Zemel, Alexandre Pouget:
Population Coding with Motion Energy Filters: The Impact of Correlations. Neural Comput. 20(1): 146-175 (2008) - [j5]Arunava Banerjee, Peggy Seriès, Alexandre Pouget:
Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks. Neural Comput. 20(4): 974-993 (2008) - 2007
- [j4]Jeffrey M. Beck, Alexandre Pouget:
Exact Inferences in a Neural Implementation of a Hidden Markov Model. Neural Comput. 19(5): 1344-1361 (2007) - 2002
- [c11]Arunava Banerjee, Alexandre Pouget:
Dynamical Constraints on Computing with Spike Timing in the Cortex. NIPS 2002: 269-276 - 2000
- [c10]Sophie Denève, Jean-René Duhamel, Alexandre Pouget:
A New Model of Spatial Representation in Multimodal Brain Areas. NIPS 2000: 117-123
1990 – 1999
- 1999
- [j3]Alexandre Pouget, Sophie Denève, Jean-Christophe Ducom, Peter E. Latham:
Narrow vs Wide Tuning Curves: What's Best for a Population Code? Neural Comput. 11(1): 85-90 (1999) - 1998
- [j2]Alexandre Pouget, Kechen Zhang, Sophie Denève, Peter E. Latham:
Statistically Efficient Estimation Using Population Coding. Neural Comput. 10(2): 373-401 (1998) - [j1]Richard S. Zemel, Peter Dayan, Alexandre Pouget:
Probabilistic Interpretation of Population Codes. Neural Comput. 10(2): 403-430 (1998) - [c9]Sophie Denève, Alexandre Pouget, Peter E. Latham:
Divisive Normalization, Line Attractor Networks and Ideal Observers. NIPS 1998: 104-110 - 1997
- [c8]Sophie Denève, Alexandre Pouget:
Neural Basis of Object-Centered Representations. NIPS 1997: 24-30 - 1996
- [c7]Alexandre Pouget, Kechen Zhang:
Statistically Efficient Estimations Using Cortical Lateral Connections. NIPS 1996: 97-103 - [c6]Richard S. Zemel, Peter Dayan, Alexandre Pouget:
Probabilistic Interpretation of Population Codes. NIPS 1996: 676-684 - [c5]Michael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski:
Selective Integration: A Model for Disparity Estimation. NIPS 1996: 866-872 - 1995
- [c4]Alexandre Pouget, Terrence J. Sejnowski:
A Model of Spatial Representations in Parietal Cortex Explains Hemineglect. NIPS 1995: 10-16 - 1994
- [c3]Alexandre Pouget, Cedric Deffayet, Terrence J. Sejnowski:
Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl. NIPS 1994: 125-132 - [c2]Alexandre Pouget, Terrence J. Sejnowski:
Spatial Representations in the Parietal Cortex May Use Basis Functions. NIPS 1994: 157-164 - 1991
- [c1]Alexandre Pouget, Stephen A. Fisher, Terrence J. Sejnowski:
Hierarchical Transformation of Space in the Visual System. NIPS 1991: 412-419
Coauthor Index
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