| Neural correlations, population coding and computation BB Averbeck, PE Latham, A Pouget Nature reviews neuroscience 7 (5), 358-366, 2006 | 1857 | 2006 |
| Bayesian inference with probabilistic population codes WJ Ma, JM Beck, PE Latham, A Pouget Nature neuroscience 9 (11), 1432-1438, 2006 | 1732 | 2006 |
| Optimally interacting minds B Bahrami, K Olsen, PE Latham, A Roepstorff, G Rees, CD Frith Science 329 (5995), 1081-1085, 2010 | 822 | 2010 |
| A deep learning framework for neuroscience BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... Nature neuroscience 22 (11), 1761-1770, 2019 | 792 | 2019 |
| 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 | 782 | 2008 |
| Probabilistic brains: knowns and unknowns A Pouget, JM Beck, WJ Ma, PE Latham Nature neuroscience 16 (9), 1170-1178, 2013 | 720 | 2013 |
| Information-limiting correlations R Moreno-Bote, J Beck, I Kanitscheider, X Pitkow, P Latham, A Pouget Nature neuroscience 17 (10), 1410-1417, 2014 | 541 | 2014 |
| Reading population codes: a neural implementation of ideal observers S Deneve, PE Latham, A Pouget Nature neuroscience 2 (8), 740-745, 1999 | 509 | 1999 |
| Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex M London, A Roth, L Beeren, M Häusser, PE Latham Nature 466 (7302), 123-127, 2010 | 498 | 2010 |
| Efficient computation and cue integration with noisy population codes S Deneve, PE Latham, A Pouget Nature neuroscience 4 (8), 826-831, 2001 | 462 | 2001 |
| Intrinsic dynamics in neuronal networks. I. Theory PE Latham, BJ Richmond, PG Nelson, S Nirenberg Journal of neurophysiology 83 (2), 808-827, 2000 | 422 | 2000 |
| 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 | 410 | 2012 |
| Retinal ganglion cells act largely as independent encoders S Nirenberg, SM Carcieri, AL Jacobs, PE Latham Nature 411 (6838), 698-701, 2001 | 403 | 2001 |
| The rat approximates an ideal detector of changes in rates of reward: implications for the law of effect. CR Gallistel, TA Mark, AP King, PE Latham Journal of experimental psychology: Animal behavior processes 27 (4), 354, 2001 | 319 | 2001 |
| Statistically efficient estimation using population coding A Pouget, K Zhang, S Deneve, PE Latham Neural computation 10 (2), 373-401, 1998 | 287 | 1998 |
| Synergy, redundancy, and independence in population codes, revisited PE Latham, S Nirenberg Journal of Neuroscience 25 (21), 5195-5206, 2005 | 278 | 2005 |
| Decoding neuronal spike trains: how important are correlations? S Nirenberg, PE Latham Proceedings of the National Academy of Sciences 100 (12), 7348-7353, 2003 | 274 | 2003 |
| Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations P Seriès, PE Latham, A Pouget Nature neuroscience 7 (10), 1129-1135, 2004 | 264 | 2004 |
| Cracking the neural code for sensory perception by combining statistics, intervention, and behavior S Panzeri, CD Harvey, E Piasini, PE Latham, T Fellin Neuron 93 (3), 491-507, 2017 | 237 | 2017 |
| Pairwise maximum entropy models for studying large biological systems: when they can work and when they can't Y Roudi, S Nirenberg, PE Latham PLoS computational biology 5 (5), e1000380, 2009 | 218 | 2009 |
