| Bayesian inference with probabilistic population codes WJ Ma, JM Beck, PE Latham, A Pouget Nature neuroscience 9 (11), 1432-1438, 2006 | 1817 | 2006 |
| Probabilistic population codes for Bayesian decision making JM Beck, WJ Ma, R Kiani, T Hanks, AK Churchland, J Roitman, ... Neuron 60 (6), 1142-1152, 2008 | 806 | 2008 |
| Probabilistic brains: knowns and unknowns A Pouget, JM Beck, WJ Ma, PE Latham Nature neuroscience 16 (9), 1170-1178, 2013 | 772 | 2013 |
| Information-limiting correlations R Moreno-Bote, J Beck, I Kanitscheider, X Pitkow, P Latham, A Pouget Nature neuroscience 17 (10), 1410-1417, 2014 | 592 | 2014 |
| Not noisy, just wrong: the role of suboptimal inference in behavioral variability JM Beck, WJ Ma, X Pitkow, PE Latham, A Pouget Neuron 74 (1), 30-39, 2012 | 443 | 2012 |
| Modelling reciprocating relationships with Hawkes processes C Blundell, J Beck, KA Heller Advances in neural information processing systems 25, 2012 | 256 | 2012 |
| Marginalization in neural circuits with divisive normalization JM Beck, PE Latham, A Pouget Journal of Neuroscience 31 (43), 15310-15319, 2011 | 191 | 2011 |
| An insula-frontostriatal network mediates flexible cognitive control by adaptively predicting changing control demands J Jiang, J Beck, K Heller, T Egner Nature Communications 6 (1), 8165, 2015 | 174 | 2015 |
| Behavior and neural basis of near-optimal visual search WJ Ma, V Navalpakkam, JM Beck, R Berg, A Pouget Nature neuroscience 14 (6), 783-790, 2011 | 148 | 2011 |
| Perceptual learning as improved probabilistic inference in early sensory areas VR Bejjanki, JM Beck, ZL Lu, A Pouget Nature neuroscience 14 (5), 642-648, 2011 | 148 | 2011 |
| Spiking networks for Bayesian inference and choice WJ Ma, JM Beck, A Pouget Current opinion in neurobiology 18 (2), 217-222, 2008 | 128 | 2008 |
| Neural implementation of Bayesian inference in a sensorimotor behavior TR Darlington, JM Beck, SG Lisberger Nature neuroscience 21 (10), 1442-1451, 2018 | 97 | 2018 |
| Striatal fast-spiking interneurons selectively modulate circuit output and are required for habitual behavior JK O'Hare, H Li, N Kim, E Gaidis, K Ade, J Beck, H Yin, N Calakos Elife 6, e26231, 2017 | 97 | 2017 |
| Trial-to-trial, uncertainty-based adjustment of decision boundaries in visual categorization AT Qamar, RJ Cotton, RG George, JM Beck, E Prezhdo, A Laudano, ... Proceedings of the National Academy of Sciences 110 (50), 20332-20337, 2013 | 84 | 2013 |
| Insights from a simple expression for linear fisher information in a recurrently connected population of spiking neurons J Beck, VR Bejjanki, A Pouget Neural computation 23 (6), 1484-1502, 2011 | 76 | 2011 |
| A probabilistic approach to demixing odors A Grabska-Barwińska, S Barthelmé, J Beck, ZF Mainen, A Pouget, ... Nature neuroscience 20 (1), 98-106, 2017 | 66 | 2017 |
| Exact inferences in a neural implementation of a hidden Markov model JM Beck, A Pouget Neural computation 19 (5), 1344-1361, 2007 | 63 | 2007 |
| Complex inference in neural circuits with probabilistic population codes and topic models J Beck, A Pouget, KA Heller Advances in neural information processing systems 25, 2012 | 61 | 2012 |
| Learning receptive fields using predictive feedback JFM Jehee, C Rothkopf, JM Beck, DH Ballard Journal of Physiology-Paris 100 (1-3), 125-132, 2006 | 60 | 2006 |
| Probabilistic population codes and the exponential family of distributions J Beck, WJ Ma, PE Latham, A Pouget Progress in brain research 165, 509-519, 2007 | 55 | 2007 |
peter lathamProfessor, Gatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
