Neural correlations, population coding and computation BB Averbeck, PE Latham, A Pouget Nature reviews neuroscience 7 (5), 358-366, 2006 | 1966 | 2006 |
Bayesian inference with probabilistic population codes WJ Ma, JM Beck, PE Latham, A Pouget Nature neuroscience 9 (11), 1432-1438, 2006 | 1799 | 2006 |
A deep learning framework for neuroscience BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ... Nature neuroscience 22 (11), 1761-1770, 2019 | 935 | 2019 |
Optimally interacting minds B Bahrami, K Olsen, PE Latham, A Roepstorff, G Rees, CD Frith Science 329 (5995), 1081-1085, 2010 | 890 | 2010 |
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 | 795 | 2008 |
Probabilistic brains: knowns and unknowns A Pouget, JM Beck, WJ Ma, PE Latham Nature neuroscience 16 (9), 1170-1178, 2013 | 760 | 2013 |
Information-limiting correlations R Moreno-Bote, J Beck, I Kanitscheider, X Pitkow, P Latham, A Pouget Nature neuroscience 17 (10), 1410-1417, 2014 | 582 | 2014 |
Reading population codes: a neural implementation of ideal observers S Deneve, PE Latham, A Pouget Nature neuroscience 2 (8), 740-745, 1999 | 525 | 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 | 516 | 2010 |
Efficient computation and cue integration with noisy population codes S Deneve, PE Latham, A Pouget Nature neuroscience 4 (8), 826-831, 2001 | 482 | 2001 |
Intrinsic dynamics in neuronal networks. I. Theory PE Latham, BJ Richmond, PG Nelson, S Nirenberg Journal of neurophysiology 83 (2), 808-827, 2000 | 444 | 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 | 436 | 2012 |
Retinal ganglion cells act largely as independent encoders S Nirenberg, SM Carcieri, AL Jacobs, PE Latham Nature 411 (6838), 698-701, 2001 | 414 | 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 | 326 | 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 | 286 | 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 | 276 | 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 | 269 | 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 | 254 | 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 | 219 | 2009 |