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Items: 1 to 50 of 52

1.

Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning.

Najafi F, Elsayed GF, Cao R, Pnevmatikakis E, Latham PE, Cunningham JP, Churchland AK.

Neuron. 2020 Jan 8;105(1):165-179.e8. doi: 10.1016/j.neuron.2019.09.045. Epub 2019 Nov 18.

PMID:
31753580
2.

Think: Theory for Africa.

Currin CB, Khoza PN, Antrobus AD, Latham PE, Vogels TP, Raimondo JV.

PLoS Comput Biol. 2019 Jul 11;15(7):e1007049. doi: 10.1371/journal.pcbi.1007049. eCollection 2019 Jul. No abstract available.

3.

The idiosyncratic nature of confidence.

Navajas J, Hindocha C, Foda H, Keramati M, Latham PE, Bahrami B.

Nat Hum Behav. 2017 Nov;1(11):810-818. doi: 10.1038/s41562-017-0215-1. Epub 2017 Sep 25.

4.

Robust information propagation through noisy neural circuits.

Zylberberg J, Pouget A, Latham PE, Shea-Brown E.

PLoS Comput Biol. 2017 Apr 18;13(4):e1005497. doi: 10.1371/journal.pcbi.1005497. eCollection 2017 Apr.

5.

Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior.

Panzeri S, Harvey CD, Piasini E, Latham PE, Fellin T.

Neuron. 2017 Feb 8;93(3):491-507. doi: 10.1016/j.neuron.2016.12.036. Review.

6.

Correlations demystified.

Latham PE.

Nat Neurosci. 2016 Dec 27;20(1):6-8. doi: 10.1038/nn.4455. No abstract available.

PMID:
28025982
7.

Zipf's Law Arises Naturally When There Are Underlying, Unobserved Variables.

Aitchison L, Corradi N, Latham PE.

PLoS Comput Biol. 2016 Dec 20;12(12):e1005110. doi: 10.1371/journal.pcbi.1005110. eCollection 2016 Dec.

8.

A probabilistic approach to demixing odors.

Grabska-Barwińska A, Barthelmé S, Beck J, Mainen ZF, Pouget A, Latham PE.

Nat Neurosci. 2017 Jan;20(1):98-106. doi: 10.1038/nn.4444. Epub 2016 Dec 5.

PMID:
27918530
9.

Doubly Bayesian Analysis of Confidence in Perceptual Decision-Making.

Aitchison L, Bang D, Bahrami B, Latham PE.

PLoS Comput Biol. 2015 Oct 30;11(10):e1004519. doi: 10.1371/journal.pcbi.1004519. eCollection 2015 Oct.

10.

Does interaction matter? Testing whether a confidence heuristic can replace interaction in collective decision-making.

Bang D, Fusaroli R, Tylén K, Olsen K, Latham PE, Lau JY, Roepstorff A, Rees G, Frith CD, Bahrami B.

Conscious Cogn. 2014 May;26:13-23. doi: 10.1016/j.concog.2014.02.002. Epub 2014 Mar 18.

11.

The perception of probability.

Gallistel CR, Krishan M, Liu Y, Miller R, Latham PE.

Psychol Rev. 2014 Jan;121(1):96-123. doi: 10.1037/a0035232.

PMID:
24490790
12.

How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes?

Grabska-Barwińska A, Latham PE.

J Comput Neurosci. 2014 Jun;36(3):469-81. doi: 10.1007/s10827-013-0481-5. Epub 2013 Oct 5.

PMID:
24091644
13.

Probabilistic brains: knowns and unknowns.

Pouget A, Beck JM, Ma WJ, Latham PE.

Nat Neurosci. 2013 Sep;16(9):1170-8. doi: 10.1038/nn.3495. Epub 2013 Aug 18. Review.

14.

Randomly connected networks have short temporal memory.

Wallace E, Maei HR, Latham PE.

Neural Comput. 2013 Jun;25(6):1408-39. doi: 10.1162/NECO_a_00449. Epub 2013 Mar 21.

PMID:
23517097
15.

Not noisy, just wrong: the role of suboptimal inference in behavioral variability.

Beck JM, Ma WJ, Pitkow X, Latham PE, Pouget A.

Neuron. 2012 Apr 12;74(1):30-9. doi: 10.1016/j.neuron.2012.03.016.

16.

Welcome to Neural Systems and Circuits: bridging the gap between theory and experiment.

Latham PE, Murthy VN.

Neural Syst Circuits. 2011 Jan 26;1(1):1. doi: 10.1186/2042-1001-1-1. No abstract available.

17.

Looking back on the first year of Neural Systems & Circuits.

Latham PE, Murthy VN.

Neural Syst Circuits. 2012 Jan 5;2(1):1. doi: 10.1186/2042-1001-2-1. No abstract available.

18.

Marginalization in neural circuits with divisive normalization.

Beck JM, Latham PE, Pouget A.

J Neurosci. 2011 Oct 26;31(43):15310-9. doi: 10.1523/JNEUROSCI.1706-11.2011.

19.

Optimally interacting minds.

Bahrami B, Olsen K, Latham PE, Roepstorff A, Rees G, Frith CD.

Science. 2010 Aug 27;329(5995):1081-5. doi: 10.1126/science.1185718.

20.

Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex.

London M, Roth A, Beeren L, Häusser M, Latham PE.

Nature. 2010 Jul 1;466(7302):123-7. doi: 10.1038/nature09086.

21.

Pairwise maximum entropy models for studying large biological systems: when they can work and when they can't.

Roudi Y, Nirenberg S, Latham PE.

PLoS Comput Biol. 2009 May;5(5):e1000380. doi: 10.1371/journal.pcbi.1000380. Epub 2009 May 8.

22.

Ruling out and ruling in neural codes.

Jacobs AL, Fridman G, Douglas RM, Alam NM, Latham PE, Prusky GT, Nirenberg S.

Proc Natl Acad Sci U S A. 2009 Apr 7;106(14):5936-41. doi: 10.1073/pnas.0900573106. Epub 2009 Mar 18.

23.

Probabilistic population codes for Bayesian decision making.

Beck JM, Ma WJ, Kiani R, Hanks T, Churchland AK, Roitman J, Shadlen MN, Latham PE, Pouget A.

Neuron. 2008 Dec 26;60(6):1142-52. doi: 10.1016/j.neuron.2008.09.021.

24.

Phase coding: spikes get a boost from local fields.

Latham PE, Lengyel M.

Curr Biol. 2008 Apr 22;18(8):R349-51. doi: 10.1016/j.cub.2008.02.062.

25.

Probabilistic population codes and the exponential family of distributions.

Beck J, Ma WJ, Latham PE, Pouget A.

Prog Brain Res. 2007;165:509-19. Review.

PMID:
17925267
26.

A balanced memory network.

Roudi Y, Latham PE.

PLoS Comput Biol. 2007 Sep;3(9):1679-700. Epub 2007 Jun 5.

27.

Bayesian inference with probabilistic population codes.

Ma WJ, Beck JM, Latham PE, Pouget A.

Nat Neurosci. 2006 Nov;9(11):1432-8. Epub 2006 Oct 22.

PMID:
17057707
28.

Neural correlations, population coding and computation.

Averbeck BB, Latham PE, Pouget A.

Nat Rev Neurosci. 2006 May;7(5):358-66. Review.

PMID:
16760916
29.

Synergy, redundancy, and independence in population codes, revisited.

Latham PE, Nirenberg S.

J Neurosci. 2005 May 25;25(21):5195-206.

30.

Touché: the feeling of choice.

Latham PE, Dayan P.

Nat Neurosci. 2005 Apr;8(4):408-9. No abstract available.

PMID:
15795744
31.

Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations.

Seriès P, Latham PE, Pouget A.

Nat Neurosci. 2004 Oct;7(10):1129-35. Epub 2004 Sep 26.

PMID:
15452579
32.

Optimal computation with attractor networks.

Latham PE, Deneve S, Pouget A.

J Physiol Paris. 2003 Jul-Nov;97(4-6):683-94.

PMID:
15242674
33.

Computing and stability in cortical networks.

Latham PE, Nirenberg S.

Neural Comput. 2004 Jul;16(7):1385-412.

PMID:
15165395
34.

Firing rate of the noisy quadratic integrate-and-fire neuron.

Brunel N, Latham PE.

Neural Comput. 2003 Oct;15(10):2281-306.

PMID:
14511522
35.

Analysis of spontaneous bursting activity in random neural networks.

Tabak J, Latham PE.

Neuroreport. 2003 Aug 6;14(11):1445-9.

PMID:
12960761
36.

Decoding neuronal spike trains: how important are correlations?

Nirenberg S, Latham PE.

Proc Natl Acad Sci U S A. 2003 Jun 10;100(12):7348-53. Epub 2003 May 29.

37.

The rat approximates an ideal detector of changes in rates of reward: implications for the law of effect.

Gallistel CR, Mark TA, King AP, Latham PE.

J Exp Psychol Anim Behav Process. 2001 Oct;27(4):354-72.

PMID:
11676086
38.

Efficient computation and cue integration with noisy population codes.

Deneve S, Latham PE, Pouget A.

Nat Neurosci. 2001 Aug;4(8):826-31.

PMID:
11477429
39.

Retinal ganglion cells act largely as independent encoders.

Nirenberg S, Carcieri SM, Jacobs AL, Latham PE.

Nature. 2001 Jun 7;411(6838):698-701.

PMID:
11395773
40.

Intrinsic dynamics in neuronal networks. II. experiment.

Latham PE, Richmond BJ, Nirenberg S, Nelson PG.

J Neurophysiol. 2000 Feb;83(2):828-35.

41.

Intrinsic dynamics in neuronal networks. I. Theory.

Latham PE, Richmond BJ, Nelson PG, Nirenberg S.

J Neurophysiol. 2000 Feb;83(2):808-27.

42.

Reading population codes: a neural implementation of ideal observers.

Deneve S, Latham PE, Pouget A.

Nat Neurosci. 1999 Aug;2(8):740-5.

PMID:
10412064
43.

Narrow versus wide tuning curves: What's best for a population code?

Pouget A, Deneve S, Ducom JC, Latham PE.

Neural Comput. 1999 Jan 1;11(1):85-90.

PMID:
9950723
44.

Population coding in the retina.

Nirenberg S, Latham PE.

Curr Opin Neurobiol. 1998 Aug;8(4):488-93. Review.

PMID:
9751660
45.

Coding strategies in monkey V1 and inferior temporal cortices.

Gershon ED, Wiener MC, Latham PE, Richmond BJ.

J Neurophysiol. 1998 Mar;79(3):1135-44.

46.

Statistically efficient estimation using population coding.

Pouget A, Zhang K, Deneve S, Latham PE.

Neural Comput. 1998 Feb 15;10(2):373-401. Review.

PMID:
9472487
47.

Theory of relativistic cyclotron masers.

Nusinovich GS, Latham PE, Dumbrajs O.

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1995 Jul;52(1):998-1012. No abstract available.

PMID:
9963505
48.

High power operation of an X-band gyrotwistron.

Latham PE, Lawson W, Irwin V V, Hogan B, Nusinovich GS, Matthews HW, Flaherty MK.

Phys Rev Lett. 1994 Jun 6;72(23):3730-3733. No abstract available.

PMID:
10056275
49.

High-power operation of a K-band second-harmonic gyroklystron.

Lawson W, Matthews HW, Lee MK, Calame JP, Hogan B, Cheng J, Latham PE, Granatstein VL, Reiser M.

Phys Rev Lett. 1993 Jul 19;71(3):456-459. No abstract available.

PMID:
10055275
50.

Use of Lie transforms to generalize Madey's theorem for computing the gain in microwave devices.

Latham PE, Miller SM, Striffler CD.

Phys Rev A. 1992 Jan 15;45(2):1197-1206. No abstract available.

PMID:
9907086

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