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Results: 1 to 20 of 157

Similar articles for PubMed (Select 9744950)

1.

Resonance effect for neural spike time reliability.

Hunter JD, Milton JG, Thomas PJ, Cowan JD.

J Neurophysiol. 1998 Sep;80(3):1427-38.

2.

The when and how of input frequency effects.

Schwartz RG.

J Child Lang. 2015 Mar;42(2):298-300; discussion 316-22. doi: 10.1017/S0305000914000671. No abstract available.

PMID:
25644414
3.

Influence of developmental nicotine exposure on spike-timing precision and reliability in hypoglossal motoneurons.

Powell GL, Levine RB, Frazier AM, Fregosi RF.

J Neurophysiol. 2015 Mar 15;113(6):1862-72. doi: 10.1152/jn.00838.2014. Epub 2014 Dec 30.

PMID:
25552642
4.

Dynamics and reliability of bistable neurons driven with time-dependent stimuli.

Gonzalo Cogno S, Schreiber S, Samengo I.

Neural Comput. 2014 Dec;26(12):2798-826. doi: 10.1162/NECO_a_00671. Epub 2014 Sep 23.

PMID:
25248087
5.

Context-dependent coding in single neurons.

Mease RA, Lee S, Moritz AT, Powers RK, Binder MD, Fairhall AL.

J Comput Neurosci. 2014 Dec;37(3):459-80. doi: 10.1007/s10827-014-0513-9. Epub 2014 Jul 3.

PMID:
24990803
6.

The competing benefits of noise and heterogeneity in neural coding.

Hunsberger E, Scott M, Eliasmith C.

Neural Comput. 2014 Aug;26(8):1600-23. doi: 10.1162/NECO_a_00621. Epub 2014 May 30.

PMID:
24877735
7.

Spike-threshold adaptation predicted by membrane potential dynamics in vivo.

Fontaine B, Peña JL, Brette R.

PLoS Comput Biol. 2014 Apr 10;10(4):e1003560. doi: 10.1371/journal.pcbi.1003560. eCollection 2014 Apr.

8.

Neuronal spike timing adaptation described with a fractional leaky integrate-and-fire model.

Teka W, Marinov TM, Santamaria F.

PLoS Comput Biol. 2014 Mar 27;10(3):e1003526. doi: 10.1371/journal.pcbi.1003526. eCollection 2014 Mar.

9.

A transition to sharp timing in stochastic leaky integrate-and-fire neurons driven by frozen noisy input.

Taillefumier T, Magnasco M.

Neural Comput. 2014 May;26(5):819-59. doi: 10.1162/NECO_a_00577. Epub 2014 Feb 20.

PMID:
24555453
10.

Cellular sensory mechanisms for detecting specific fold-changes in extracellular cues.

Hironaka K, Morishita Y.

Biophys J. 2014 Jan 7;106(1):279-88. doi: 10.1016/j.bpj.2013.10.039.

11.

Estimating nonstationary inputs from a single spike train based on a neuron model with adaptation.

Kim H, Shinomoto S.

Math Biosci Eng. 2014 Feb;11(1):49-62. doi: 10.3934/mbe.2014.11.49.

PMID:
24245682
12.

Resonating vector strength: what happens when we vary the "probing" frequency while keeping the spike times fixed.

van Hemmen JL, Vollmayr AN.

Biol Cybern. 2013 Aug;107(4):491-4. doi: 10.1007/s00422-013-0560-8. Epub 2013 Aug 27.

PMID:
23982849
13.

A computational study of spike time reliability in two types of threshold dynamics.

Yu N, Li YX, Kuske R.

J Math Neurosci. 2013 Aug 14;3(1):11. doi: 10.1186/2190-8567-3-11.

14.

Why noise is useful in functional and neural mechanisms of interval timing?

Oprisan SA, Buhusi CV.

BMC Neurosci. 2013 Aug 7;14:84. doi: 10.1186/1471-2202-14-84.

15.

Predicting spike timing in highly synchronous auditory neurons at different sound levels.

Fontaine B, Benichoux V, Joris PX, Brette R.

J Neurophysiol. 2013 Oct;110(7):1672-88. doi: 10.1152/jn.00051.2013. Epub 2013 Jul 17.

16.

First-spike latency in Hodgkin's three classes of neurons.

Wang H, Chen Y, Chen Y.

J Theor Biol. 2013 Jul 7;328:19-25. doi: 10.1016/j.jtbi.2013.03.003. Epub 2013 Mar 16.

PMID:
23507341
17.

Multiple spike time patterns occur at bifurcation points of membrane potential dynamics.

Toups JV, Fellous JM, Thomas PJ, Sejnowski TJ, Tiesinga PH.

PLoS Comput Biol. 2012;8(10):e1002615. doi: 10.1371/journal.pcbi.1002615. Epub 2012 Oct 18.

18.

Tailoring inputs to achieve maximal neuronal firing.

Wang J, Costello W, Rubin JE.

J Math Neurosci. 2011 May 3;1(1):3. doi: 10.1186/2190-8567-1-3.

19.

Spike-interval triggered averaging reveals a quasi-periodic spiking alternative for stochastic resonance in catfish electroreceptors.

Lankheet MJ, Klink PC, Borghuis BG, Noest AJ.

PLoS One. 2012;7(3):e32786. doi: 10.1371/journal.pone.0032786. Epub 2012 Mar 5. Erratum in: PLoS One. 2012;7(6). doi:10.1371/annotation/1997d0fd-63cf-4593-877b-604c3e7b524f.

20.

Theory of spike timing-based neural classifiers.

Rubin R, Monasson R, Sompolinsky H.

Phys Rev Lett. 2010 Nov 19;105(21):218102. Epub 2010 Nov 19.

PMID:
21231357
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