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Items: 1 to 20 of 85

1.

What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration.

Hopfield JJ, Brody CD.

Proc Natl Acad Sci U S A. 2001 Jan 30;98(3):1282-7. Epub 2001 Jan 23.

2.

Lateral information processing by spiking neurons: a theoretical model of the neural correlate of consciousness.

Ebner M, Hameroff S.

Comput Intell Neurosci. 2011;2011:247879. doi: 10.1155/2011/247879. Epub 2011 Oct 23.

3.

Simultaneous rate-synchrony codes in populations of spiking neurons.

Masuda N.

Neural Comput. 2006 Jan;18(1):45-59.

PMID:
16354380
4.

Noise suppression and surplus synchrony by coincidence detection.

Schultze-Kraft M, Diesmann M, Grün S, Helias M.

PLoS Comput Biol. 2013 Apr;9(4):e1002904. doi: 10.1371/journal.pcbi.1002904. Epub 2013 Apr 4.

5.

Analytical condition for synchrony in a neural network with two periodic inputs.

Hashizume Y, Araki O.

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Jan;87(1):012713. Epub 2013 Jan 18.

PMID:
23410365
7.

Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition.

Kasabov N, Dhoble K, Nuntalid N, Indiveri G.

Neural Netw. 2013 May;41:188-201. doi: 10.1016/j.neunet.2012.11.014. Epub 2012 Dec 20.

PMID:
23340243
8.

Inhibitory network of spiking neurons may express a sharp peak of synchrony at low frequency band.

Meyrand P, Cattaert D, Ostaszewski H, Bem T.

Biol Cybern. 2009 Dec;101(5-6):325-38. doi: 10.1007/s00422-009-0339-0. Epub 2009 Oct 28.

PMID:
19862549
9.

The number of synaptic inputs and the synchrony of large, sparse neuronal networks.

Golomb D, Hansel D.

Neural Comput. 2000 May;12(5):1095-139.

PMID:
10905810
10.

Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output.

Burkitt AN, Clark GM.

Neural Comput. 1999 May 15;11(4):871-901.

PMID:
10226187
11.

Spatial and temporal pattern analysis via spiking neurons.

Natschläger T, Ruf B.

Network. 1998 Aug;9(3):319-32.

PMID:
9861993
12.

STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns.

Hosaka R, Araki O, Ikeguchi T.

Neural Comput. 2008 Feb;20(2):415-35.

PMID:
18045011
13.

A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties.

Burkitt AN.

Biol Cybern. 2006 Aug;95(2):97-112. Epub 2006 Jul 5. Review.

PMID:
16821035
14.
16.

How noise contributes to time-scale invariance of interval timing.

Oprisan SA, Buhusi CV.

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 May;87(5):052717. Epub 2013 May 29.

PMID:
23767576
17.

Neuron as a reward-modulated combinatorial switch and a model of learning behavior.

Rvachev MM.

Neural Netw. 2013 Oct;46:62-74. doi: 10.1016/j.neunet.2013.04.010. Epub 2013 May 6.

18.

Passive Synaptic Normalization and Input Synchrony-Dependent Amplification of Cortical Feedback in Thalamocortical Neuron Dendrites.

Connelly WM, Crunelli V, Errington AC.

J Neurosci. 2016 Mar 30;36(13):3735-54. doi: 10.1523/JNEUROSCI.3836-15.2016.

19.

Oscillations and spiking pairs: behavior of a neuronal model with STDP learning.

Shen X, Lin X, De Wilde P.

Neural Comput. 2008 Aug;20(8):2037-69. doi: 10.1162/neco.2008.08-06-317.

PMID:
18336082
20.

Synaptic dynamics: linear model and adaptation algorithm.

Yousefi A, Dibazar AA, Berger TW.

Neural Netw. 2014 Aug;56:49-68. doi: 10.1016/j.neunet.2014.04.001. Epub 2014 Apr 28.

PMID:
24867390

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