Publications
Journal Articles
2024
Chiappa, A.S., Tano., P., Patel, N., Ingster, A. Pouget, A. and Mathis, A. Acquiring musculoskeletal skills with curriculum-based reinforcement learning.
Neuron. Volume 112(23): 3813-3815. 2024. https://doi.org/10.1016/j.neuron.2024.09.002
Riveland, R. and Pouget A. A neural model of task compositionality with natural language instructions.
Nature Neuroscience. 2024. doi: 10.1038/s41593-024-01607-5
2023
(As member of IBL) International Brain Laboratory; Bonacchi N, Chapuis GA, Churchland AK, DeWitt EEJ, Faulkner M, Harris KD, Huntenburg JM, Hunter M, Laranjeira IC, Rossant C, Sasaki M, Schartner MM, Shen S, Steinmetz NA, Walker EY, West SJ, Winter O, Wells MJ. A modular architecture for organizing, processing and sharing neurophysiology data.
Nature Methods. 20(3):403-407. Epub 2023. Mar 2. 2023. doi: 10.1038/s41592-022-01742-6.
Schartner, M., Beck, J.M., Laboyrie, J., Riquier, L., Marchand. S., Pouget, A. Recovering origin and ratings of Bordeaux wines with gas chromatography.
Communication Chemistry. 6, 247. 2023. https://doi.org/10.1038/s42004-023-01051-9
Caggiano, V., Durandau, G., Wang, H., Chiappa, A., Mathis, A., Tano, P. Patel, N, Pouget, A., Schumacher, P., Martius, G., Daniel F.B., Geng, Y., An, B., Zhong, Y., Ji, J., Chen, Y., Dong, H.,Yang, Y., Siripurapu, R., Diez, L.E.F., Kopp, M., Patil, V., Hochreiter, S, Tassa, Y. Merel, J., Schultheis, R., Song, S., Sartori, M., Kumar, V. MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand
Proceedings of Machine Learning Research 220:233–250, 2023. https://proceedings.mlr.press/v220/caggiano23a.html
2022
Huang. C., Pouget, A. and Doiron, B. Internal dynamics of recurrent network hinder information transmission in visual cortex.
Science Advances. 2022 Jun 3;8(22):eabg5244. doi: 10.1126/sciadv.abg5244. Epub 2022 Jun 1.
Ashwood, Z.C., Roy, N.A., Stone, I.R., The International Brain Laboratory, Urai, A., Churchland, A.K., Pouget, A. and Pillow, J.W. Mice alternate between discrete strategies during perceptual decision-making.
Nature Neuroscience. 2022 Feb;25(2):201-212. doi: 10.1038/s41593-021-01007-z.
2021
Aitchinson, S., Jegminat J. Mendez, J., Pfister, J.P., Pouget, A., and Latham P. Synaptic plasticity as probabilistic inference.
Nature Neuroscience. 2021 Mar 11. doi: 10.1038/s41593-021-00809-5.
Dehaene, G., Ruben Coen-Cagli, R., Pouget A. Representing uncertainty in neuronal circuits: auditory localization as a test case.
PLOS Computational Biology. 2021 Feb 12;17(2):e1008138. doi: 10.1371/journal.pcbi.1008138. PMID: 33577553
2020
Patel, N, Acerbi, L. and Pouget A. Dynamic allocation of limited memory resources in reinforcement learning.
Advances in Neural Information Processing Systems. PDF. 2020.
Tano, P, Dayan, P. and Pouget, A. A local temporal difference code for distributional reinforcement learning.
Advances in Neural Information Processing Systems. PDF. 2020.
Mendonca , A., Drugowitsch, J.,Vicente, M., DeWitt, E., *Pouget, A.,* Mainen, Z. . (* equal contribution) Reinforcement learning limits performance in categorical decision-making.
Nature Communication. 2020 Jun 2;11(1):2757. doi: 10.1038/s41467-020-16196-7 PMID: 32488065
2019
Drugowitsch, J., Mendonca , Mainen, Z. Pouget, A., Learning optimal decisions with confidence.
Proc Natl Acad Sci U S A. 2019 Nov 15. pii: 201906787. doi: 10.1073/pnas.1906787116
Hou, H. Zhao, Y., Zheng, Q., *Pouget, A. and *Gu, Y. (* equal contribution) Neural Correlates of Optimal Multisensory Decision Making under Time-Varying Reliabilities with an Invariant Linear Probabilistic Population Code.
Neuron. 2019 Sep 23. pii: S0896-6273(19)30744-5. doi: 10.1016/j.neuron.2019.08.038
Tajima, S., Drugowitsch, J., Patel, N., and Pouget, A. Optimal policy for multi-alternative decisions
Nature Neuroscience. 2019 Aug 5. doi: 10.1038/s41593-019-0453-9.
2018
Lakshminarasimhan, K.J., Liu, S., Gu,Y., Pouget, A., DeAngelis, G.C., Angelaki , D.E., Pitkow, X. Inferring decoding strategies for multiple correlated neural populations.
PLoS Computational Biology 14(9):e1006371. doi: 10.1371/journal.pcbi.1006371. eCollection 2018.
2017
Zylberberg J, Pouget A, Latham PE, Shea-Brown E. Robust information propagation through noisy neural circuits.
PLoS Computational Biology 13(4):e1005497. doi: 10.1371/journal.pcbi.1005497. eCollection. 2017.
Coen-Cagli, R., Kanitscheider, I., Pouget, A. A method to estimate the number of neurons supporting visual orientation discrimination in primates.
F1000Research. 6:1752 (doi: 10.12688/f1000research.12398.1). 2017.
Yamada, Y., Bhaukaurally, K., Madarasz, T.J., Pouget, A., Rodriguez, I. and Carleton, A. Context- and output layer-dependent long-term ensemble plasticity in a sensory circuit.
Neuron. 93(5):1198-1212.e5. doi: 10.1016/j.neuron.2017.02.006. 2017.
Grabska-Barwinska, A., Barthelme, S., Beck, J., Mainen, Z.F., Pouget, A.* Latham, P.E.* (* equal contribution). A probabilistic approach to demixing odors.
Nature Neuroscience. Jan;20(1):98-106. doi: 10.1038/nn.4444. 2017.
2016
Tajima, S., Drugowitsch, J., and Pouget, A. Optimal policy for value-based decision making.
Nature Communications. doi: 10.1038/ncomms12400. 2016.
Kohn, A., Ruben Coen-Cagli, R., Kanitscheider, I., Pouget, A. Correlations and neuronal population information: a cautionary tale.
Annual Review of Neuroscience. 39:237-56. doi: 10.1146/annurev-neuro-070815-013851. Epub 2016.
Pouget, A., Drugowitsch, J. and Kepecs, A. Confidence and certainty: distinct probabilistic quantities for different goals
Nature Neuroscience. 19(3):366-74. doi: 10.1038/nn.4240. 2016.
2015
Kanitscheider, I., Ruben Coen-Cagli, R., Pouget, A. The origin of information-limiting noise correlations
PNAS. 112(50):E6973-82. doi: 10.1073/pnas.1508738112. 2015.
Drugowitsch, J., DeAngelis, G.C., Angelaki, D.E. and Pouget, A. Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making.
Elife. Jun 19;4. doi: 10.7554/eLife.06678. 2015.
Pitkow, X., Liu, S., Angelaki, D.E., DeAngelis, G.C., Pouget, A. How can single sensory neurons predict behavior?
Neuron. 87(2):411-23. doi: 10.1016/j.neuron.2015.06.033. 2015.
Kanitscheider, I., Brown, A., Pouget, A. Churchland, A.K. Multisensory decisions provide support for probabilistic number representations
Journal of Neurophysiology. 113(10):3490-8. doi: 10.1152/jn.00787.2014. 2015.
Kanitscheider, I., Coen-Cagli, R., Kohn, A. and Pouget, A. Measuring Fisher information accurately in correlated neural populations.
PLOS Computational Biology. 11(6):e1004218. doi: 10.1371/journal.pcbi.1004218. 2015.
2014
Bejjanki,V.R., Zhang, R., Li, R., Pouget,A., Lu , Z. and Bavelier, D. Action video game play facilitates the development of better perceptual templates.
PNAS. 111(47):16961-6. doi: 10.1073/pnas.1417056111. 2014.
Moreno-Bote, R., Beck, J., Pitkow, X., Kanitscheider, I., Latham, P.E. and Pouget, A. Information-limiting correlations.
Nature Neuroscience. doi: 10.1038/nn.3807. 17(10):1410-7. 2014.
Drugowitsch, J., DeAngelis, G.C., Klier, E.M., Angelaki, D.E. and Pouget, A. Optimal multisensory decision-making in a reaction-time task.
Elife. doi: 10.7554/eLife.03005. 2014.
Vo, V.A., Li, R., Kornell, N., Pouget, A. and Cantlon, J.F. Young Children Bet On Their Numerical Skills: Metacognition in the Numerical Domain.
Psychological Science. 25(9):1712-21. doi: 10.1177/0956797614538458. 2014.
Drugowitsch, J., Moreno-Bote, R. and Pouget, A. Relation between belief and performance in perceptual decision making.
PLOS One. 9(5). doi: 10.1371/journal.pone.0096511. 2014.
2013
Pouget, A., Beck, J., Ma, W..J. and Latham, P.E. Probabilistic brains: knowns and unknowns.
Nature Neuroscience. 16(9):1170-8. doi: 10.1038/nn.3495. 2013.
2012
Drugowitsch, J. and Pouget, A. Probabilistic vs. non-probabilistic approaches to the neurobiology of perceptual decision-making.
Current Opinion in Neurobiology. 22(6):963-9. doi: 10.1016/j.conb.2012.07.007. 2012.
Bavelier, D, Green, C.S., Pouget, A. and Schrater, P. Brain plasticity through the life span: Learning to learn and action video games.
Annual Review in Neuroscience. 35:391-416. doi: 10.1146/annurev-neuro-060909-152832. 2012.
Griffiths, T.L., Chater, N., Norris, D., Pouget, A. How the Bayesians got their beliefs (and what those beliefs actually are)
Psychological Bulletin. 138(3):415-22. doi: 10.1037/a0026884. 2012.
Beck, J., Ma, W..J., Pitkow, X. Latham, P.E. and Pouget, A. Not noisy, just wrong. The impact of approximate inference on neuronal and behavioral variability.
Neuron. 74(1):30-9. doi: 10.1016/j.neuron.2012.03.016. 2012.
Drugowitsch, J., Moreno-Bote, R,, Shadlen, M.N., and Pouget, A. The cost of accumulating evidence in perceptual decision making.
Journal of Neuroscience. 32(11):3612-3628. doi: 10.1523/JNEUROSCI.4010-11.2012. 2012.
2011
Fetsch, C.R., Pouget, A., DeAngelis, A.G.C. and Angelaki, D.E. Neural correlates of reliability-based cue weighting during multisensory integration.
Nature Neuroscience. 15(1):146-54.818. doi: 10.1038/nn.2983. 2011.
Beck, J., Latham, P.E. and Pouget, A. Marginalization in neural circuits with divisive normalization.
Journal of Neuroscience. 31(43):15310 –15319. doi: 10.1523/JNEUROSCI.1706-11.2011. 2011.
Beck, J., Bejjanki, V., Pouget, A. Insights from a simple expression for linear Fisher information in a recurrently connected population of spiking neurons.
Neural computation. 23(6):1484-502. doi: 10.1162/NECO_a_00125. 2011.
Moreno-Bote, R., Knill, D.C., and Pouget, A. Bayesian sampling in visual perception
Proceedings of the National Academy of Science. 108(30):12491-6. doi: 10.1073/pnas.1101430108. 2011
Ma, W..J., Navalpakkam, V., Beck, J., van den Berg, R. and Pouget, A. Behavior and neural basis of near-optimal visual search.
Nature Neuroscience. 14(6):783-90. doi: 10.1038/nn.2814. 2011.
Bejjanki, V.R., Lu, Z.L., Beck, J.M., and Pouget, A. Perceptual learning as improved probabilistic inference in early sensory areas.
Nature Neuroscience. doi: 10.1038/nn.2796. 14(5):642-8. 2011.
Churchland, A.K., Kiani, R., Chaudhuri, R., Wang, X.J., Pouget, A., and Shadlen, M.N. Variance as a signature of neural computations during decision-making.
Neuron. 69: 818–831. doi: 10.1016/j.neuron.2010.12.037. 2011.
2010
Green, C.S., Pouget, A. and. Bavelier, D Improved probabilistic inference as a general learning mechanism with action video games.
Current Biology. 20(17):1573-9. doi: 10.1016/j.cub.2010.07.040. 2010.
Pouget, A., Ringach, D.L., Landy, M. (Editorial) Data rules; but theory understands: an introduction to a special issue on "Mathematical models of visual coding”.
Vision Research. 50(22):2189. doi: 10.1016/j.visres.2010.10.001. 2010.
2008
Beck, J., Ma, W..J., Kiani, R., Hanks, T., Churchland, A.K., Roitman, J., Shadlen, M.N, Latham, P.E. and Pouget, A. Probabilistic population codes for Bayesian decision making.
Neuron. doi: 10.1016/j.neuron.2008.09.021. 60(6):1142-52. 2008.
Ma, W.J. and Pouget, A. Linking neurons to behavior in multisensory perception: a computational review.
Brain Research. 1242:4-12. doi: 10.1016/j.brainres.2008.04.082. 2008.
Ma, W..J., Beck, J. and Pouget, A. Spiking networks for Bayesian inference and choice.
Current opinion in biology. 18:217-222. doi: 10.1016/j.conb.2008.07.004. 2008.
Banerjee, A., Series, P., and Pouget, A. Dynamical constraints on using precise spike timing to compute in recurrent cortical networks.
Neural Computation. 20(4):974-93. doi: 10.1162/neco.2008.05-06-206. 2008.
Klam, F., Zemel, R.S. and Pouget, A. Population coding with motion energy filters: the impact of correlations.
Neural Computation. 20(1):146-75. doi: 10.1162/neco.2008.20.1.146. 2008.
2007
Beck, J., Ma, W.J., Latham, P.E. and Pouget, A. Probabilistic Population Codes and the Exponential Family of Distributions.
Progress in Brain Research. 165:509-19. doi: 10.1016/S0079-6123(06)65032-2. 2007.
Ben Hamed, S., Schieber, M.H. and Pouget, A. Decoding M1 neurons during multiple finger movements.
Journal of Neurophysiology. 98(1):327-33. doi: 10.1152/jn.00760.2006. 2007.
Deneve, S., Duhamel., J.R. and Pouget, A. Optimal sensorimotor integration in recurrent cortical networks.
Journal of Neuroscience. 27(21):5744-56. doi: 10.1523/JNEUROSCI.3985-06.2007. 2007.
Beck, J., Pouget, A. Exact inferences in a neural implementation of a hidden Markov model.
Neural Computation. 19(5):1344-61. doi: 10.1162/neco.2007.19.5.1344. 2007
2006
Ma, W.J., Beck, J., Latham, P.E. and Pouget, A. Bayesian inference with probabilistic population codes.
Nature Neuroscience. 9(11), 1432-1438. PMID: 17057707. doi: 10.1038/nn1790. 2006.
Averbeck, B., Latham, P.E., Pouget, A. Neural correlations, population coding and computation.
Nature Review Neuroscience. 7, 358-366. doi: 10.1038/nrn1888. 2006.
2005
Avillac, M., Denève, S., Olivier, E., Pouget, A. and Duhamel, J.R. Reference frames for representing the location of visual and tactile locations in the parietal cortex.
Nature Neuroscience. 8(7). 941-949. doi: 10.1038/nn1480. 2005.
2004
Series, P., Latham, P.E. and Pouget, A. Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations.
Nature Neuroscience. 7(10):1129-1135. doi: 10.1038/nn1321. 2004.
Knill, D., and Pouget, A. The Bayesian brain: the role of uncertainty in neural coding and computation. T
rends in Neuroscience. 27(12):712-9. doi: 10.1016/j.tins.2004.10.007. 2004.
Deneve, S., Pouget, A. Bayesian multisensory integration and cross-modal spatial links.
Journal of Physiology (Paris). 98:249-258. doi: 10.1016/j.jphysparis.2004.03.011.2004.
2003
Latham, P.E., Deneve, S., Pouget, A. Optimal computation with attractor networks.
Journal of Physiology (Paris). 97(4-6): 683-694. doi: 10.1016/j.jphysparis.2004.01.022. 2003.
Ben Hamed, S., Page, G., Duffy, C. and Pouget, A. MSTd Neuronal Basis Functions for the Population Encoding of Heading Direction.
Journal of Neurophysiology. 90(2):549-58. doi: 10.1152/jn.00639.2002. 2003.
Pouget, A., Dayan, P. and Zemel, R.S. Computation and inference with population codes.
Annual Review Neuroscience. 26:381-410. doi: 10.1146/annurev.neuro.26.041002.131112. 2003.
Deneve, S. and Pouget, A. Basis functions for object-centered representations.
Neuron. 37:347-359. doi: 10.1016/s0896-6273(02)01184-4. 2003.
2002
Pouget, A., Deneve, S and Duhamel, J.R. A Computational Perspective on the Neural Basis of Multisensory Spatial Representations.
Nature Review Neuroscience. 3:741-747. doi: 10.1038/nrn914. 2002.
Pouget, A., Ducom, J.C., Torri, J. and Bavelier, D. Multisensory spatial representations in eye-centered coordinates.
Cognition. 83:B1-B11. doi: 10.1016/s0010-0277(01)00163-9. 2002.
2001
Pouget, A., and Sejnowski, T.J. Simulating a lesion in a basis function model of spatial representations: comparison with hemineglect.
Psychological Review. 108: 653-673. doi: 10.1037/0033-295x.108.3.653. 2001.
Deneve, S., Latham, P.E. and Pouget, A. Efficient computation and cue integration with noisy population codes
Nature Neuroscience. 4(8):826-831. doi: 10.1038/90541. 2001.
2000
Pouget, A., and Snyder, L. Computational approaches to sensorimotor transformations
Nature Neuroscience. 3:1192-1198. doi: 10.1038/81469. 2000
Pouget, A., Zemel, R.S., and Dayan, P. Information processing with population codes.
Nature Review Neuroscience. 1(2):125-132. doi: 10.1038/35039062. 2000.
Pouget, A. and Driver, J. Relating Unilateral Neglect to the Neural Coding of Space.
Current Opinion in Neurobiology. 10(2):242-249. doi: 10.1016/s0959-4388(00)00077-5. 2000.
Driver, J., and Pouget, A. Object-centered visual neglect, or relative egocentric neglect?
Journal of Cognitive Neuroscience. 12(3):542-545. doi: 10.1162/089892900562192. 2000.
1999
Deneve, S., Latham, P.E. and Pouget, A. Reading population codes: a neural implementation of ideal observers.
Nature Neuroscience. 2(8):740-745. doi: 10.1038/11205. 1999.
Pouget, A., Deneve, S., Ducom, J.C. and Latham, P.E. Narrow vs wide tuning curves: what's best for a population code?
Neural Computation. 11:85-90. doi: 10.1162/089976699300016818. 1999.
1998
Zemel, R.S., Dayan, P., and Pouget, A. Probabilistic interpretation of population code.
Neural Computation, 10:403-430. doi: 10.1162/089976698300017818. 1998.
Gray, M.S., Pouget, A., Zemel, R.S., Nowlan, S.J., and Sejnowski, T.J. Reliable disparity estimation through selective integration.
Visual Neuroscience. 15:511-528. doi: 10.1017/s0952523898153129. 1998.
Bremmer, F., Pouget, A., Lappe, M. and Hoffmann, K. Eye position effects in monkey cortex. III. Representation of gaze direction at the population level.
European Journal of Neuroscience. 10(1):153-160. doi: 10.1046/j.1460-9568.1998.00010.x. 1998.
Pouget, A., Zhang, K., Deneve, S. and Latham, P.E. Statistically efficient estimation using population code.
Neural Computation, 10:373-401. doi: 10.1162/089976698300017809. 1998.
Schlag, J., Pouget, A., Schlag-Rey, M. and Saderghpour, S. Interaction between natural and electrically evoked saccades. III. Is the compensation by collicular stimulation due to a feedback integrator not yet reset?
Journal of Neurophysiology. 79:903-910. doi: 10.1152/jn.1998.79.2.903. 1998.
1997
Cai, R.H., Pouget, A., Schlag-Rey, M. and Schlag, J. Perceived geometrical relationships affected by eye movement signals.
Nature. 386:601-603. doi: 10.1038/386601a0. 1997.
Pouget, A., and Sejnowski, T.J. Spatial transformations in the parietal cortex using basis functions.
Journal of Cognitive Neuroscience. 9(2):222-237. doi: 10.1162/jocn.1997.9.2.222. 1997.
1994
Pouget, A. and Sejnowski, T.J. The cortical representation of egocentric distance.
Cerebral Cortex, 4(3):314-329. doi: 10.1093/cercor/4.3.314. 1994.
1993
Pouget, A., Fisher, S. and Sejnowski, T.J. Egocentric representation in early vision.
Journal of Cognitive Neuroscience, 5(2):150-161. doi: 10.1162/jocn.1993.5.2.150. 1993.
1992
Pouget, A. and Sejnowski, T.J. A Distributed common reference frame for egocentric space in the PPC. Commentary on target article: Posterior Parietal Cortex and Egocentric Space, J.F. Stein.
Behavioral and Brain Sciences, 15(4):787. PDF. 1992.
1991
Pouget, A. and Thorpe, S.J. Connectionist Model of Orientation Identification.
Connection Science, 3 (2):127-142. doi: 10.1080/09540099108946581. 1991.
Trotter, Y., Beaux, J.C., Pouget, A., Imbert, M. Temporal limits of the susceptibility of depth perception to proprioceptive deafferentations of extraocular muscles.
Developmental Brain Research, 59:23-29. doi: 10.1016/0165-3806(91)90025-e. 1991.