Hierarchical Transformation of Space in the Visual System. - Alexandre Pouget; Stephen A. Fisher; Terrence J. Sejnowski (NIPS, 1991)

Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl. - Alexandre Pouget; Cedric Deffayet; Terrence J. Sejnowski (NIPS, 1994)

Spatial Representations in the Parietal Cortex May Use Basis Functions. - Alexandre Pouget; Terrence J. Sejnowski (NIPS, 1994)

A Model of Spatial Representations in Parietal Cortex Explains Hemineglect. - Alexandre Pouget; Terrence J. Sejnowski (NIPS, 1995)

Selective Integration: A Model for Disparity Estimation. - Michael S. Gray; Alexandre Pouget; Richard S. Zemel; Steven J. Nowlan; Terrence J. Sejnowski (NIPS, 1996)

Statistically Efficient Estimations Using Cortical Lateral Connections. - Alexandre Pouget; Kechen Zhang (NIPS, 1996)

Neural Basis of Object-Centered Representations. - Sophie Denève; Alexandre Pouget (NIPS, 1997)

Divisive Normalization, Line Attractor Networks and Ideal Observers. - Sophie Denève; Alexandre Pouget; Peter E. Latham (NIPS, 1998)

Statistically Efficient Estimation Using Population Coding. - Alexandre Pouget; Kechen Zhang; Sophie Denève; Peter E. Latham (Neural Comput., 1998)

Probabilistic Interpretation of Population Codes. - Richard S. Zemel; Peter Dayan; Alexandre Pouget (Neural Comput., 1998)

Narrow vs Wide Tuning Curves: What's Best for a Population Code? - Alexandre Pouget; Sophie Denève; Jean-Christophe Ducom; Peter E. Latham (Neural Comput., 1999)

A New Model of Spatial Representation in Multimodal Brain Areas. - Sophie Denève; Jean-René Duhamel; Alexandre Pouget (NIPS, 2000)

Dynamical Constraints on Computing with Spike Timing in the Cortex. - Arunava Banerjee; Alexandre Pouget (NIPS, 2002)

Exact Inferences in a Neural Implementation of a Hidden Markov Model. - Jeffrey M. Beck; Alexandre Pouget (Neural Comput., 2007)

Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks. - Arunava Banerjee; Peggy Seriès; Alexandre Pouget (Neural Comput., 2008)

Population Coding with Motion Energy Filters: The Impact of Correlations. - F. Klam; Richard S. Zemel; Alexandre Pouget (Neural Comput., 2008)

Insights from a Simple Expression for Linear Fisher Information in a Recurrently Connected Population of Spiking Neurons. - Jeffrey M. Beck; Vikranth R. Bejjanki; Alexandre Pouget (Neural Comput., 2011)

Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan. - Kenji Doya; John P. O'Doherty; Alexandre Pouget; Peter Bossaerts; Nathaniel D. Daw; Yael Niv (CogSci, 2012)

Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models. - Jeffrey M. Beck; Katherine A. Heller; Alexandre Pouget (NIPS, 2012)

Structured cognitive representations and complex inference in neural systems. - Samuel Gershman; Joshua B. Tenenbaum; Alexandre Pouget; Matthew M. Botvinick; Peter Dayan (CogSci, 2013)

Demixing odors - fast inference in olfaction. - Agnieszka Grabska-Barwinska; Jeffrey M. Beck; Alexandre Pouget; Peter E. Latham (NIPS, 2013)

Optimal decision-making with time-varying evidence reliability. - Jan Drugowitsch; Rubén Moreno-Bote; Alexandre Pouget (NIPS, 2014)

Measuring Fisher Information Accurately in Correlated Neural Populations. - Ingmar Kanitscheider; Ruben Coen Cagli; Adam Kohn; Alexandre Pouget (PLoS Comput. Biol., 2015)

Robust information propagation through noisy neural circuits. - Joel Zylberberg; Alexandre Pouget; Peter E. Latham; Eric Shea-Brown (PLoS Comput. Biol., 2017)

Inferring decoding strategies for multiple correlated neural populations. - Kaushik J. Lakshminarasimhan; Alexandre Pouget; Gregory C. DeAngelis; Dora E. Angelaki; Xaq Pitkow (PLoS Comput. Biol., 2018)

Dynamic allocation of limited memory resources in reinforcement learning. - Nisheet Patel; Luigi Acerbi; Alexandre Pouget (NeurIPS, 2020)

A Local Temporal Difference Code for Distributional Reinforcement Learning. - Pablo Tano; Peter Dayan; Alexandre Pouget (NeurIPS, 2020)

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. - Vittorio Caggiano; Guillaume Durandau; Huawei Wang 003; Alberto Silvio Chiappa; Alexander Mathis; Pablo Tano; Nisheet Patel; Alexandre Pouget; Pierre Schumacher; Georg Martius; Daniel F. B. Haeufle; Yiran Geng; et al. (NeurIPS (Competition and Demos), 2021)

Investigating the representation of uncertainty in neuronal circuits. - Guillaume P. Dehaene; Ruben Coen Cagli; Alexandre Pouget (PLoS Comput. Biol., 2021)

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. - Anthony Zador; Blake A. Richards; Bence Ölveczky; Sean Escola; Yoshua Bengio; Kwabena Boahen 001; Matthew M. Botvinick; Dmitri B. Chklovskii; Anne Churchland; Claudia Clopath; James DiCarlo; Surya Ganguli; et al. (CoRR, 2022)