peter latham
peter latham
Professor, Gatsby Computational Neuroscience Unit, UCL
Verified email at
Cited by
Cited by
Neural correlations, population coding and computation
BB Averbeck, PE Latham, A Pouget
Nature reviews neuroscience 7 (5), 358-366, 2006
Bayesian inference with probabilistic population codes
WJ Ma, JM Beck, PE Latham, A Pouget
Nature neuroscience 9 (11), 1432-1438, 2006
A deep learning framework for neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature neuroscience 22 (11), 1761-1770, 2019
Optimally interacting minds
B Bahrami, K Olsen, PE Latham, A Roepstorff, G Rees, CD Frith
Science 329 (5995), 1081-1085, 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
Probabilistic brains: knowns and unknowns
A Pouget, JM Beck, WJ Ma, PE Latham
Nature neuroscience 16 (9), 1170-1178, 2013
Information-limiting correlations
R Moreno-Bote, J Beck, I Kanitscheider, X Pitkow, P Latham, A Pouget
Nature neuroscience 17 (10), 1410-1417, 2014
Reading population codes: a neural implementation of ideal observers
S Deneve, PE Latham, A Pouget
Nature neuroscience 2 (8), 740-745, 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
Efficient computation and cue integration with noisy population codes
S Deneve, PE Latham, A Pouget
Nature neuroscience 4 (8), 826-831, 2001
Intrinsic dynamics in neuronal networks. I. Theory
PE Latham, BJ Richmond, PG Nelson, S Nirenberg
Journal of neurophysiology 83 (2), 808-827, 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
Retinal ganglion cells act largely as independent encoders
S Nirenberg, SM Carcieri, AL Jacobs, PE Latham
Nature 411 (6838), 698-701, 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
Statistically efficient estimation using population coding
A Pouget, K Zhang, S Deneve, PE Latham
Neural computation 10 (2), 373-401, 1998
Synergy, redundancy, and independence in population codes, revisited
PE Latham, S Nirenberg
Journal of Neuroscience 25 (21), 5195-5206, 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
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
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
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
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