Follow
peter latham
peter latham
Professor, Gatsby Computational Neuroscience Unit, UCL
Verified email at gatsby.ucl.ac.uk
Title
Cited by
Cited by
Year
Neural correlations, population coding and computation
BB Averbeck, PE Latham, A Pouget
Nature reviews neuroscience 7 (5), 358-366, 2006
19682006
Bayesian inference with probabilistic population codes
WJ Ma, JM Beck, PE Latham, A Pouget
Nature neuroscience 9 (11), 1432-1438, 2006
17982006
A deep learning framework for neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature neuroscience 22 (11), 1761-1770, 2019
9362019
Optimally interacting minds
B Bahrami, K Olsen, PE Latham, A Roepstorff, G Rees, CD Frith
Science 329 (5995), 1081-1085, 2010
8902010
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
7952008
Probabilistic brains: knowns and unknowns
A Pouget, JM Beck, WJ Ma, PE Latham
Nature neuroscience 16 (9), 1170-1178, 2013
7622013
Information-limiting correlations
R Moreno-Bote, J Beck, I Kanitscheider, X Pitkow, P Latham, A Pouget
Nature neuroscience 17 (10), 1410-1417, 2014
5822014
Reading population codes: a neural implementation of ideal observers
S Deneve, PE Latham, A Pouget
Nature neuroscience 2 (8), 740-745, 1999
5251999
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
5162010
Efficient computation and cue integration with noisy population codes
S Deneve, PE Latham, A Pouget
Nature neuroscience 4 (8), 826-831, 2001
4822001
Intrinsic dynamics in neuronal networks. I. Theory
PE Latham, BJ Richmond, PG Nelson, S Nirenberg
Journal of neurophysiology 83 (2), 808-827, 2000
4442000
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
4362012
Retinal ganglion cells act largely as independent encoders
S Nirenberg, SM Carcieri, AL Jacobs, PE Latham
Nature 411 (6838), 698-701, 2001
4142001
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
3262001
Statistically efficient estimation using population coding
A Pouget, K Zhang, S Deneve, PE Latham
Neural computation 10 (2), 373-401, 1998
2871998
Synergy, redundancy, and independence in population codes, revisited
PE Latham, S Nirenberg
Journal of Neuroscience 25 (21), 5195-5206, 2005
2862005
Decoding neuronal spike trains: how important are correlations?
S Nirenberg, PE Latham
Proceedings of the National Academy of Sciences 100 (12), 7348-7353, 2003
2762003
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
2692004
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
2552017
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
2192009
The system can't perform the operation now. Try again later.
Articles 1–20