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Items: 1 to 20 of 38

1.

Refractoriness Accounts for Variable Spike Burst Responses in Somatosensory Cortex.

Teleńczuk B, Kempter R, Curio G, Destexhe A.

eNeuro. 2017 Aug 23;4(4). pii: ENEURO.0173-17.2017. doi: 10.1523/ENEURO.0173-17.2017. eCollection 2017 Jul-Aug.

2.

A Model of Fast Hebbian Spike Latency Normalization.

Einarsson H, Gauy MM, Lengler J, Steger A.

Front Comput Neurosci. 2017 May 15;11:33. doi: 10.3389/fncom.2017.00033. eCollection 2017.

3.

Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems.

Lajoie G, Lin KK, Thivierge JP, Shea-Brown E.

PLoS Comput Biol. 2016 Dec 14;12(12):e1005258. doi: 10.1371/journal.pcbi.1005258. eCollection 2016 Dec.

4.

Tracking recurrence of correlation structure in neuronal recordings.

Neymotin SA, Talbot ZN, Jung JQ, Fenton AA, Lytton WW.

J Neurosci Methods. 2017 Jan 1;275:1-9. doi: 10.1016/j.jneumeth.2016.10.009. Epub 2016 Oct 13.

5.

Variance Based Measure for Optimization of Parametric Realignment Algorithms.

Milekovic T, Mehring C.

PLoS One. 2016 May 9;11(5):e0153773. doi: 10.1371/journal.pone.0153773. eCollection 2016.

6.

Oxytocin enables maternal behaviour by balancing cortical inhibition.

Marlin BJ, Mitre M, D'amour JA, Chao MV, Froemke RC.

Nature. 2015 Apr 23;520(7548):499-504. doi: 10.1038/nature14402. Epub 2015 Apr 15.

7.

Information-geometric measures estimate neural interactions during oscillatory brain states.

Nie Y, Fellous JM, Tatsuno M.

Front Neural Circuits. 2014 Feb 24;8:11. doi: 10.3389/fncir.2014.00011. eCollection 2014.

8.

What is all the noise about in interval timing?

Oprisan SA, Buhusi CV.

Philos Trans R Soc Lond B Biol Sci. 2014 Jan 20;369(1637):20120459. doi: 10.1098/rstb.2012.0459. Print 2014 Mar 5.

9.

Simultaneous stability and sensitivity in model cortical networks is achieved through anti-correlations between the in- and out-degree of connectivity.

Vasquez JC, Houweling AR, Tiesinga P.

Front Comput Neurosci. 2013 Nov 7;7:156. doi: 10.3389/fncom.2013.00156. eCollection 2013.

10.

Prediction of rat behavior outcomes in memory tasks using functional connections among neurons.

Lu H, Yang S, Lin L, Li B, Wei H.

PLoS One. 2013 Sep 30;8(9):e74298. doi: 10.1371/journal.pone.0074298. eCollection 2013.

11.

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.

12.

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.

13.

Multichannel brain recordings in behaving Drosophila reveal oscillatory activity and local coherence in response to sensory stimulation and circuit activation.

Paulk AC, Zhou Y, Stratton P, Liu L, van Swinderen B.

J Neurophysiol. 2013 Oct;110(7):1703-21. doi: 10.1152/jn.00414.2013. Epub 2013 Jul 17.

14.

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.

15.

Probing real sensory worlds of receivers with unsupervised clustering.

Pfeiffer M, Hartbauer M, Lang AB, Maass W, Römer H.

PLoS One. 2012;7(6):e37354. doi: 10.1371/journal.pone.0037354. Epub 2012 Jun 6.

16.

Learning complex temporal patterns with resource-dependent spike timing-dependent plasticity.

Hunzinger JF, Chan VH, Froemke RC.

J Neurophysiol. 2012 Jul;108(2):551-66. doi: 10.1152/jn.01150.2011. Epub 2012 Apr 11.

17.

STDP allows fast rate-modulated coding with Poisson-like spike trains.

Gilson M, Masquelier T, Hugues E.

PLoS Comput Biol. 2011 Oct;7(10):e1002231. doi: 10.1371/journal.pcbi.1002231. Epub 2011 Oct 27.

18.

Finding the event structure of neuronal spike trains.

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

Neural Comput. 2011 Sep;23(9):2169-208. doi: 10.1162/NECO_a_00173. Epub 2011 Jun 14.

19.

Attracting dynamics of frontal cortex ensembles during memory-guided decision-making.

Balaguer-Ballester E, Lapish CC, Seamans JK, Durstewitz D.

PLoS Comput Biol. 2011 May;7(5):e1002057. doi: 10.1371/journal.pcbi.1002057. Epub 2011 May 19.

20.

A new similarity measure for spike trains: sensitivity to bursts and periods of inhibition.

Lyttle D, Fellous JM.

J Neurosci Methods. 2011 Aug 15;199(2):296-309. doi: 10.1016/j.jneumeth.2011.05.005. Epub 2011 May 12.

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