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Items: 1 to 20 of 95

1.

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.

2.

Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.

Onken A, Liu JK, Karunasekara PP, Delis I, Gollisch T, Panzeri S.

PLoS Comput Biol. 2016 Nov 4;12(11):e1005189. doi: 10.1371/journal.pcbi.1005189. eCollection 2016 Nov.

3.

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. Epub 2011 Feb 17.

4.

Information processing in the primate retina: circuitry and coding.

Field GD, Chichilnisky EJ.

Annu Rev Neurosci. 2007;30:1-30. Review.

PMID:
17335403
5.

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. Epub 2009 Jul 5.

PMID:
19583980
6.

Excess synchrony in motor cortical neurons provides redundant direction information with that from coarse temporal measures.

Oram MW, Hatsopoulos NG, Richmond BJ, Donoghue JP.

J Neurophysiol. 2001 Oct;86(4):1700-16.

7.

Chaos-induced modulation of reliability boosts output firing rate in downstream cortical areas.

Tiesinga PH.

Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Mar;69(3 Pt 1):031912. Epub 2004 Mar 31.

PMID:
15089327
8.

Recoding of sensory information across the retinothalamic synapse.

Wang X, Hirsch JA, Sommer FT.

J Neurosci. 2010 Oct 13;30(41):13567-77. doi: 10.1523/JNEUROSCI.0910-10.2010.

9.

Information coding via spontaneous oscillations in neural ensembles.

Wang Y, Wang ZD.

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 Jul;62(1 Pt B):1063-8.

PMID:
11088563
10.

Information transmission rates of cat retinal ganglion cells.

Passaglia CL, Troy JB.

J Neurophysiol. 2004 Mar;91(3):1217-29. Epub 2003 Nov 5.

11.

Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model.

Masquelier T.

J Comput Neurosci. 2012 Jun;32(3):425-41. doi: 10.1007/s10827-011-0361-9. Epub 2011 Sep 21.

PMID:
21938439
12.

Spike history neural response model.

Kameneva T, Abramian M, Zarelli D, Nĕsić D, Burkitt AN, Meffin H, Grayden DB.

J Comput Neurosci. 2015 Jun;38(3):463-81. doi: 10.1007/s10827-015-0549-5. Epub 2015 Apr 12.

PMID:
25862472
13.

Testing a neural coding hypothesis using surrogate data.

Hirata Y, Katori Y, Shimokawa H, Suzuki H, Blenkinsop TA, Lang EJ, Aihara K.

J Neurosci Methods. 2008 Jul 30;172(2):312-22. doi: 10.1016/j.jneumeth.2008.05.004. Epub 2008 May 15.

15.

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. Epub 2005 Dec 14.

16.

Nonlinear modeling of causal interrelationships in neuronal ensembles.

Zanos TP, Courellis SH, Berger TW, Hampson RE, Deadwyler SA, Marmarelis VZ.

IEEE Trans Neural Syst Rehabil Eng. 2008 Aug;16(4):336-52. doi: 10.1109/TNSRE.2008.926716.

17.

Balanced synaptic input shapes the correlation between neural spike trains.

Litwin-Kumar A, Oswald AM, Urban NN, Doiron B.

PLoS Comput Biol. 2011 Dec;7(12):e1002305. doi: 10.1371/journal.pcbi.1002305. Epub 2011 Dec 22.

18.

Preserving information in neural transmission.

Sincich LC, Horton JC, Sharpee TO.

J Neurosci. 2009 May 13;29(19):6207-16. doi: 10.1523/JNEUROSCI.3701-08.2009.

19.

Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses.

Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW.

IEEE Trans Biomed Eng. 2007 Jun;54(6 Pt 1):1053-66.

PMID:
17554824

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