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Items: 1 to 20 of 111

1.

Reading spike timing without a clock: intrinsic decoding of spike trains.

Panzeri S, Ince RA, Diamond ME, Kayser C.

Philos Trans R Soc Lond B Biol Sci. 2014 Jan 20;369(1637):20120467. doi: 10.1098/rstb.2012.0467. Review.

2.

Analysis of slow (theta) oscillations as a potential temporal reference frame for information coding in sensory cortices.

Kayser C, Ince RA, Panzeri S.

PLoS Comput Biol. 2012;8(10):e1002717. doi: 10.1371/journal.pcbi.1002717.

3.

Neurons with stereotyped and rapid responses provide a reference frame for relative temporal coding in primate auditory cortex.

Brasselet R, Panzeri S, Logothetis NK, Kayser C.

J Neurosci. 2012 Feb 29;32(9):2998-3008. doi: 10.1523/JNEUROSCI.5435-11.2012.

4.

Information Carried by Population Spike Times in the Whisker Sensory Cortex can be Decoded Without Knowledge of Stimulus Time.

Panzeri S, Diamond ME.

Front Synaptic Neurosci. 2010 Jun 14;2:17. doi: 10.3389/fnsyn.2010.00017.

5.

Complementary contributions of spike timing and spike rate to perceptual decisions in rat S1 and S2 cortex.

Zuo Y, Safaai H, Notaro G, Mazzoni A, Panzeri S, Diamond ME.

Curr Biol. 2015 Feb 2;25(3):357-63. doi: 10.1016/j.cub.2014.11.065.

6.
7.

Spike-timing precision underlies the coding efficiency of auditory receptor neurons.

Rokem A, Watzl S, Gollisch T, Stemmler M, Herz AV, Samengo I.

J Neurophysiol. 2006 Apr;95(4):2541-52.

8.

On the relation between encoding and decoding of neuronal spikes.

Koyama S.

Neural Comput. 2012 Jun;24(6):1408-25. doi: 10.1162/NECO_a_00279.

PMID:
22364502
9.

A critical assessment of different measures of the information carried by correlated neuronal firing.

Panzeri S, Pola G, Petroni F, Young MP, Petersen RS.

Biosystems. 2002 Oct-Dec;67(1-3):177-85.

PMID:
12459297
10.

Sensory neural codes using multiplexed temporal scales.

Panzeri S, Brunel N, Logothetis NK, Kayser C.

Trends Neurosci. 2010 Mar;33(3):111-20. doi: 10.1016/j.tins.2009.12.001. Review.

PMID:
20045201
11.

Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains.

Pillow JW, Ahmadian Y, Paninski L.

Neural Comput. 2011 Jan;23(1):1-45. doi: 10.1162/NECO_a_00058.

PMID:
20964538
13.

Identifying temporal codes in spontaneously active sensory neurons.

Neiman AB, Russell DF, Rowe MH.

PLoS One. 2011;6(11):e27380. doi: 10.1371/journal.pone.0027380.

14.

Heterogeneity of intrinsic biophysical properties among cochlear nucleus neurons improves the population coding of temporal information.

Ahn J, Kreeger LJ, Lubejko ST, Butts DA, MacLeod KM.

J Neurophysiol. 2014 Jun 1;111(11):2320-31. doi: 10.1152/jn.00836.2013.

15.
16.

Decoding visual information from a population of retinal ganglion cells.

Warland DK, Reinagel P, Meister M.

J Neurophysiol. 1997 Nov;78(5):2336-50.

17.

Decoding stimuli from multi-source neural responses.

Li L, Choi JS, Francis JT, Sanchez JC, Príncipe JC.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1331-4. doi: 10.1109/EMBC.2012.6346183.

PMID:
23366144
18.

Representing spike trains using constant sampling intervals.

Hirata Y, Aihara K.

J Neurosci Methods. 2009 Oct 15;183(2):277-86. doi: 10.1016/j.jneumeth.2009.06.030.

PMID:
19583980
19.

How the brain uses time to represent and process visual information(1).

Victor JD.

Brain Res. 2000 Dec 15;886(1-2):33-46. Review.

PMID:
11119685
20.

Spike-based population coding and working memory.

Boerlin M, Denève S.

PLoS Comput Biol. 2011 Feb;7(2):e1001080. doi: 10.1371/journal.pcbi.1001080.

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