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  1. Research Articles
  2. Refereed Conference Proceedings
  3. Book Chapters
  4. Abstracts

 

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Research articles
 
 

 

Beck, J., Bejjanki, V., Pouget, A. Insights from a simple expression for linear Fisher information in a recurrently connected population of spiking neurons.

Neural computations. 23(6):1484-502. 2011. PDF.

 

Bayesian sampling in visual perception
Moreno-Bote, R., Knill, D.C., and
Pouget, A.

Proceedings of the National Academy of Science. In press.

 

Behavioral and neural basis of near optimal visual search.
Ma, W.J., Navalpakkam, V.,
Beck, J.M. , van den Berg, R., Pouget, A.

Nature Neuroscience. 14(6):783-90. PDF.

 

Perceptual learning as improved probabilistic inference in early sensory areas
Bejjanki, V.R., Beck, J.M. , Lu, Z.L. , Pouget, A.

Nature Neuroscience. In press. PDF

 

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.

Neuron. 2011. 24;69(4):818-31. PDF

 

Improved probabilistic inference as a general learning mechanism with action video games.

Green, C.S., Pouget, A. and Bavelier, D.

Current Biology.  2010 Sep 14;20(17):1573-9. PDF. Suppl info

BBC podcast. Summaries on The economist and BBC

Beck, J., Ma, W..J., Kiani, R., Hanks, T., Churchland, A.K., Roitman, J., Shadlen, M.N, Latham, P.E. and Pouget Probabilistic population codes for Bayesian decision making. Neuron. In press.

Ma, W..J., Beck, J. and Pouget, A. Spiking networks for Bayesian inference and choice. Current Opinion in Biology. 18:217-222. 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. 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. 2008.

• 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. 2007.

• Ben Hamed, S., Schieber, M.H. and Pouget, A. Decoding M1 neurons during multiple finger movements.

   Journal of Neurophysiology. 98(1):327-33. 2007.

 

• Deneve, S., Duhamel., J.R. and Pouget, A. Optimal sensorimotor integration in recurrent cortical networks.  Journal of Neuroscience. 27(21):5744-56. 2007.

 

• Pouget, A. and Bavelier, D. (Preview) Paying attention to neurons with discriminating taste. Neuron. 53(4):473-5. 2007.

 

• Beck, J., Pouget, A. Exact inferences in a neural implementation of a hidden Markov model.

  Neural Computation. 19(5):1344-61. 2007

 

• Ma, W.J., Beck, J., Latham, P.E. and Pouget, A. Bayesian inference with probabilistic population codes.

   Nature Neuroscience. 9(11), 1432-1438. 2006  Suppl Note N&V by Salinas

 

• Averbeck, B., Latham, P.E., Pouget, A. Neural correlations, population coding and computation.
Nature Review Neuroscience. 7, 358-366. 2006. 

 

• Avilllac, M., Denθve, S., Olivier, E., Pouget, A. and Duhamel, J.R. Reference frames for representing the location of visual and tactile stimuli in the parietal cortex.

Nature Neuroscience. 8(7). 941-949. 2005.

 

• Knill, D., and Pouget, A. The Bayesian brain: the role of uncertainty in neural coding and computation

Trends in Neuroscience. 27(12):712-9. 2004.

 

• Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations. Series, P., Latham, P. and Pouget, A.

Nature Neuroscience. 7(10):1129-1135. 2004.

 

• Bayesian multisensory integration and cross-modal spatial links.

Deneve, S., Pouget, A.

Journal of Physiology (Paris). 98:249-258. 2004.

 

• Optimal computation with attractor networks.

Latham, P.E., Deneve, S., Pouget, A. 

Journal of Physiology (Paris). 97(4-6): 683-694. 2004.

 

• MSTd Neuronal Basis Functions for the Population Encoding of Heading Direction.

Benhamed, S., Page, G., Duffy, C. and Pouget, A.
Journal of Neurophysiology. 90:549-558. 2003. .
 

• Basis functions for object-centered representations.

Deneve, S. and Pouget, A.

Neuron. 37:347-359. 2003.

 

• Computation and inference with population codes.

Pouget, A., Dayan, P. and Zemel, R.S.

Annual Review Neuroscience. 26:381-410. 2003.

 

• Multisensory spatial representations in eye-centered coordinates.

Pouget, A., Ducom, J.C., Torri, J. and Bavelier, D.

Cognition. 83:B1-B11. 2002.

 

• A Computational Perspective on the Neural Basis of Multisensory Spatial Representations.

Pouget, A., Deneve, S and Duhamel, J.R.

Nature Review Neuroscience. 3:741-747. 2002.

 

• Digitized neural networks: long term stability from forgetful neurons.

Pouget, A. and Latham, P.E.

Nature Neuroscience. 5(8):709-10. 2002.

 

• Simulating a lesion in a basis function model of spatial representations: comparison with hemineglect.
Pouget, A. and Sejnowski, T.J.
Psychological Review.
108: 653-673. 2001.

 

• Efficient computation and cue integration with noisy population codes.

Deneve, S., Latham, P.E. and Pouget, A.

Nature Neuroscience. 4(8):826-831. 2001.

Revised appendix with correct parameters

 

• Information processing with population codes.

Pouget, A., Zemel, R.S., and Dayan, P.

Nature Review Neuroscience. 1(2):125-132. 2000.

 

• Computational approaches to sensorimotor transformations.

Pouget, A., and Snyder, L.

Nature Neuroscience. 3:1192-1198. 2000. PDF

• Reading population codes: a neural implementation of ideal observers.
Deneve, S., Latham, P.E. and Pouget, A.
Nature Neuroscience. 2(8):740-745. 1999. PDF

• Object-centered visual neglect, or relative egocentric neglect?
Driver, J., and Pouget, A.
Journal of Cognitive Neuroscience. 12(3):542-545. PDF

• Narrow vs wide tuning curves: what's best for a population code?
Pouget, A. Deneve, S. Ducom, J.C. and Latham, P.
Neural Computation. 11:85-90. 1999. PDF

• Reliable disparity estimation through selective integration.
Gray, M.S., Pouget, A., Zemel, R.S., Nowlan, S.J., and Sejnowski, T.J.
Visual Neuroscience. 15:511-528. 1998.

• Statistically efficient estimation using population code.
Pouget, A. Zhang, K., Deneve, S., and Latham, P.E.
Neural Computation, 10:373-401. 1998. PDF

• Probabilistic interpretation of population code.
Zemel, R.S., Dayan, P., and Pouget, A.
Neural Computation, 10:403-430. 1998. PDF

• Interaction between natural and electrically evoked saccades. III. Is the compensation by collicular stimulation due to a feedback integrator not yet reset?
Schlag, J., Pouget, A., Schlag-Rey, M. and Saderghpour, S.
Journal of Neurophysiology. 79:903-910. 1998. PDF.

• Eye position effects in monkey cortex. III. Representation of gaze direction at the population level.
Bremmer, F., Pouget, A. and Hoffmann, K.
European Journal of Neuroscience. 10(1):153-160. 1998.

• Perceived geometrical relationships affected by eye movement signals.
Cai, R.H., Pouget, A., Schlag-Rey, M. and Schlag, J.
Nature. 386:601-603. 1997.
PDF


• Spatial transformations in the parietal cortex using basis functions.

Pouget, A., and Sejnowski, T.J.
Journal of Cognitive Neuroscience. 9(2):222-237. 1997. PDF

• A neural model of the cortical representation of egocentric distance.
Pouget, A. and Sejnowski, T.J.
Cerebral Cortex. 4(3):314-329. 1994. PDF

• Egocentric representation in early vision.
Pouget, A., Fisher, S. and Sejnowski, T.J.
Journal of Cognitive Neuroscience. 5(2):150-161. 1993. PDF

• Connectionist Model of Orientation Identification.
Pouget, A. and Thorpe, S.J.
Connection Science, 3 (2): 127-142. 1991.

• Temporal limits of the susceptibility of depth perception to proprioceptive deafferentations of extraocular muscles.
Trotter, Y., Beaux, J.C., Pouget, A., Imbert, M.
Developmental Brain Research, 59: 23-29. 1991.

 


  Book Chapters  
 

 

Modeling coordinate transforms.

Pouget, A. and Snyder, L.

Nature Encyclopedia for Cognitive Science. In Press.

 

A computational neural theory of multisensory spatial representations.

Pouget, A., Deneve, S. and Duhamel, J.R.  

In “Multisensory Integration”. Driver, J. and Spence, C. (eds). In press.

 

Dynamical Remapping.

Pouget, A. and Sejnowski, T.J.

 In "The Handbook of Brain Theory and Neural Networks". 2nd edition. Arbib, M.A. (ed). Boston: MIT Press.  In press. PDF

 

Population codes.

Pouget, A. and Latham, P.E. 

In "The Handbook of Brain Theory and Neural Networks". 2nd edition.  Arbib, M.A. (ed). Boston: MIT Press. In press. PDF

 

Fisher Information: Relevance for Theories of Cortical Computation and Visual Attention.

Pouget, A., Deneve, S., and Latham, P.E.

In ``Visual Attention and Neural Circuits''. Braun, J., Koch. C. and Davis, J. (eds). 2000.

 

Frames of reference in hemineglect: a computational approach

Pouget, A., Deneve, S.  and Sejnowski, T.J. . In ``Neural modeling of brain disorders''. Progress in Brain Research. 121:81-97. Jim Reggia, Eytan Ruppin and Dennis Glanzman (eds). Elsevier. 1999.  PDF

Pouget, A. Zhang, K., Deneve, S., and Latham, P.E.  Statistically efficient estimation using population code. In ``Population Coding''. Abbott, L. and Sejnowski, T.J. (eds). MIT Press. 1999.

 

Visual Neglect.
Pouget, A. and Driver, J. In "MIT Encyclopedia of Cognitive Sciences". Wilson, R. and Keil, F. (eds). MIT Press. In press. PDF

A New View of Hemineglect Based on the Response Properties of Parietal Neurons.
Pouget, A. and Sejnowski, T.J.

Philosophical Transactions of the Royal Society: Series B 352. 1997.
Also in:``Spatial Functions of the Hippocampal Formation and the Parietal Cortex''. Neil Burgess, Kathryn Jeffery and John O'Keefe (eds). Oxford University Press. In press.

Lesion in a Basis Function Model of Spatial Representations: Comparison with Hemineglect.
Pouget, A. and Sejnowski, T.J.
In "Parietal lobe contribution in orientation in 3D space". Thier, P. and Karnath, H.O. (eds). Springer Verlag. 1997. PDF

Dynamical Remapping.
Pouget, A. and Sejnowski, T.J. In The Handbook of Brain Theory and Neural Networks. Arbib, M.A. (ed). Boston: MIT Press. 1995. PDF

Computational models of spatial representations.
Pouget, A. Unpublished Ph.D. dissertation. UCSD. 1994.

Neural Models of Binocular Depth Perception.
Lehky, S.R., Pouget A., Sejnowski T.J.. Cold Spring Harbor Symposium on Quantitative Biology . 55: 765-777. 1990.

Human Fails on XOR Pattern Classification Problems.
Thorpe, S.J., O'Regan K. and Pouget A. In "Neural Networks : From Model to Applications" Personnaz L. and Dreyfus G. (eds). Paris. IDSET, 12-25. 1989.

Coding of Orientation by the Visual Cortex.
Thorpe, S.J. and Pouget A. In "Neural Network Modelling". Pfeifer R. (ed), Connectionism in Perspective, Amsterdam : Elsevier. 1989.

 

 

  Refereed Conference Proceedings  
 

Divisive Normalization, Line Attractor Networks and Ideal Observers
Deneve, S. Pouget, A. and Latham, P.
Advances in Neural Information Processing Systems. 11. MIT Press, Cambridge MA. 1999.

Neural Basis of Object-Centered Representations.
Deneve, S. and Pouget, A.
Advances in Neural Information Processing Systems. 10. MIT Press, Cambridge MA. 1998. PDF

Statistically efficient estimation using cortical lateral connections.

Pouget, A. and Zhang, K.
Mozer, M.C.; Jordan, M.I. and Petsche, T. (eds), Advances in Neural Information Processing Systems. 9. MIT Press, Cambridge MA. 1997. PDF

Selective Integration: a Model for Disparity Integration.
Gray, M.S., Pouget, A., Zemel, R.S., Nowlan, S.J., and Sejnowski, T.J.
Mozer, M.C.; Jordan, M.I. and Petsche, T. (eds), Advances in Neural Information Processing Systems. 9. MIT Press, Cambridge MA. 1997. PDF

Population Code Representations of Probability Density Functions.
Zemel, R.S., Dayan, P., and Pouget, A.
Mozer, M.C.; Jordan, M.I. and Petsche, T. (eds), Advances in Neural Information Processing Systems. 9. MIT Press, Cambridge MA. 1997. PDF

A Model of parietal cortex explains hemineglect.
Pouget, A., and Sejnowski, T.J.
Advances in Neural Information Processing Systems. 8. Touretzky, D.S.; Mozer, M.C. and Hasselmo, M.E. (eds). MIT Press, Cambridge MA, 1996. PDF

Reinforcement learning predicts the site of plasticity for auditory remapping in the barn owl.
Pouget, A., and Sejnowski, T.J.
Tesauro, D. S. Touretzky and T. K. Leen, (eds), Advances in Neural Information Processing Systems. 7. MIT Press, Cambridge MA, 1995. PDF

Spatial representations in the parietal cortex may use basis functions.
Pouget, A., and Sejnowski, T.J.
Tesauro, D. S. Touretzky and T. K. Leen, (eds), Advances in Neural Information Processing Systems. 7. MIT Press, Cambridge MA, 1995. PDF

Using aperiodic reinforcement for directed self-organization.
Montague, P.R., Dayan, P., Nowlan, S.J., Pouget, A. and Sejnowski, T.J.
Hanson, S.J., Cowan, J.D. and Giles, C.L. (eds), Advances in Neural Information Processing Systems. 5. San Mateo, CA: Morgan Kaufmann Publishers. 1993.

Hierarchical Representation of Space in the Visual System.
Pouget, A., Fisher, S. and Sejnowski, T.J.
In Advances in Neural Information Processing Systems. 4. Moody, J.E.; Hanson, S.J. and Lippmann, R.P (eds), San Mateo, CA: Morgan Kaufmann Publishers. 1992

 

 

  Abstracts  
 


Deneve, S. and Pouget, A. Neuronal object-centered representations: map or gain modulation? Society for Neuroscience Abstracts. New Orleans. 1997.

Pouget, A. and Ducom, J.C. Noise reduction, discrimination and adaptation in cortical circuits. Society for Neuroscience Abstracts. New Orleans. 1997.

Cai, R.H., Pouget, A., Schlag-Rey, M. and Schlag, J. Is pre-saccadic vernier distorsion related to peri-saccadic mislocalization?. Society for Neuroscience Abstracts. Washington DC. 1996.

Pouget, A. and Zhang, K. Cortical lateral connections and maximum likelihood estimation. Proceedings of the Neural Information and Coding workshop. Jackson Hole. 1996.

Cai, R.H., Pouget, A., Schlag-Rey, M. and Schlag, J. Vernier alignement can be influenced by an extraretinal signal. Society for Cognitive Neuroscience Abstracts. 1996.

Saderghpour, S., Pouget, A., Schlag-Rey, M. and Schlag, J. Is the deviation of saccades evoked collicular stimulation due to a linear resettable integrator?. Society for Neuroscience Abstracts. Washington DC. 1996.

Cai, R.H., Pouget, A., Schlag-Rey, M. and Schlag, J. Pre-saccadic distorsion of 3-dot vernier acuity by an extraretinal signal. Assoc. Res. Vis. Ophta. 1996.

Zhang, K., Pouget, A. and Dayan, P. Using lateral connections for population coding. Society for Neuroscience Abstracts. Washington DC. 1996.

Pouget, A. and Zhang, K. A statistical perspective on orientation selectivity in primary visual cortex. Society for Neuroscience Abstracts. Washington DC. 1996.

Pouget, A., Bavelier, D., and Sejnowski, T.J. Lesion in a Basis Function Model of the Parietal Cortex: Comparison with the Hemineglect Syndrome. Society for Cognitive Neuroscience Abstracts. 1995.

Gray, M.S., Pouget, A., Zemel, R.S., Nowlan, S.J., and Sejnowski, T.J. Filter selection model for disparity estimation and segmentation. Society for Cognitive Neuroscience Abstracts. 1995.

Pouget, A. and Sejnowski, T.J. Spatial Representations and Basis Functions: from Single Cell Responses to Hemineglect. Proceedings of the workshop on ``Parietal Lobe Contribution to Orientation in 3D-Space''. Tubingen, Germany. 1995.

Pouget, A. and Sejnowski, T.J. Basis Functions and Hemineglect. Society for Neuroscience Abstracts. San Diego, CA. 1995.

Gray, M.S., Pouget, A., Zemel, R.S., Nowlan, S.J., and Sejnowski, T.J. Selective Integration: a Model for Disparity Integration. Society for Neuroscience Abstracts. San Diego, CA. 1995.

Pouget, A. and Sejnowski, T.J. Spatial Representations, Basis Functions and Hemineglect. In: Proceedings of the Joint Symphosium UCSD-Caltech on Neural Computation, Institute for Neural Computation, University of California San Diego, Vol.\ 5, 1995.

Pouget, A. and Sejnowski, T.J. Is Perception Isomorphic to Neural Activity? Commentary on target article: A theory of visual stability accross eye movements, B. Bridgeman and A.H.C. van der Heijden. Behavioral and Brain Sciences. 17:274. 1994.

Pouget, A. and Sejnowski, T.J. Single Neurons in Posterior Parietal Cortex May Represent Basis Functions for Spatial Transformations. Society for Neuroscience Abstracts. Miami, FL. 1994.

Pouget, A., Montague, P.R., Dayan, P., Sejnowski, T.J. {\it A Developmental Model of Map Registration in the Superior Colliculus Using Predictive Hebbian Learning. Society for Neuroscience Abstracts, Washington, DC. 1993.

Schwarz, G. and Pouget, A. Signals, Brain and Explanations. Commentary on target article: Implication of Neural Network for how We Think about the Brain Function. D.A. Robinson. Behavioral and Brain Sciences, 15(4):795. 1992.

Pouget, A., Albright, T. and Sejnowski T.J. A Dynamical Model for Computing the Position of an Object from Its Retinal Location and Eye Position. Society for Neuroscience Abstracts, Anaheim, CA. 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. 1992.

Pouget, A., Fisher, S. and Sejnowski, T.J. Hierarchical representation of space in the visual system. Proceedings of the Symposium of the Institute for Neural Computation, San Diego, CA, UCSD. 1991.

Pouget, A. and Sejnowski T.J. A Neural network model for computing depth from stereopsis. Assoc. Res. Vis. Ophta,. 475. 1990.

Thorpe, S.J. and Pouget, A. Connectionist models and psychophysics: relating perception with psychophysics. Perception. 19, 402. 1989.

Trotter, Y., Thorpe S.J., Celibrini S., Pouget A. and Imbert M. Processing of orientation in V1 of the awake monkey. Society for Neuroscience Abstracts, Phoenix, AZ. 1989.

Thorpe, S.J., Celibrini S., Trotter Y., Pouget A. and Imbert M. Dynamic aspect of orientation coding in area V1 of the awake primate. European Journal of Neuroscience, Suppl. 2, 322. 1989.

Pouget, A., Beaux J.C. et Trotter Y. Periode critique du developpement de la perception de profondeur a la section unilaterale des afferences proprioceptives des muscles extraoculaires chez le chaton. [Critical period for the development of depth perception to unilateral proprioceptive deafferentation of extraocular muscles] Association des Physiologistes, Marseille. 1988.


 
   

Last Update June 5, 2004 by Peg