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Items: 1 to 20 of 83

1.

Derivation of a neural field model from a network of theta neurons.

Laing CR.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jul;90(1):010901. Epub 2014 Jul 28.

PMID:
25122239
2.

New patterns of activity in a pair of interacting excitatory-inhibitory neural fields.

Folias SE, Ermentrout GB.

Phys Rev Lett. 2011 Nov 25;107(22):228103. Epub 2011 Nov 21.

PMID:
22182044
3.

Persistent neural states: stationary localized activity patterns in nonlinear continuous n-population, q-dimensional neural networks.

Faugeras O, Veltz R, Grimbert F.

Neural Comput. 2009 Jan;21(1):147-87. doi: 10.1162/neco.2008.12-07-660.

PMID:
19431281
4.

Critical avalanches and subsampling in map-based neural networks coupled with noisy synapses.

Girardi-Schappo M, Kinouchi O, Tragtenberg MH.

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Aug;88(2):024701. Epub 2013 Aug 27.

PMID:
24032969
5.

Real-time tracking of neuronal network structure using data assimilation.

Hamilton F, Berry T, Peixoto N, Sauer T.

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Nov;88(5):052715. Epub 2013 Nov 21.

PMID:
24329304
6.

Reconstruction of network structures from repeating spike patterns in simulated bursting dynamics.

Song H, Chen CC, Sun JJ, Lai PY, Chan CK.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jul;90(1):012703. Epub 2014 Jul 11.

PMID:
25122331
7.

Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor network.

Herman PA, Lundqvist M, Lansner A.

Brain Res. 2013 Nov 6;1536:68-87. doi: 10.1016/j.brainres.2013.08.002. Epub 2013 Aug 9.

8.

Macroscopic equations governing noisy spiking neuronal populations with linear synapses.

Galtier MN, Touboul J.

PLoS One. 2013 Nov 13;8(11):e78917. doi: 10.1371/journal.pone.0078917. eCollection 2013.

9.
10.

Theory of correlation in a network with synaptic depression.

Igarashi Y, Oizumi M, Okada M.

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jan;85(1 Pt 2):016108. Epub 2012 Jan 11.

PMID:
22400626
11.

Microscopic instability in recurrent neural networks.

Yamanaka Y, Amari S, Shinomoto S.

Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Mar;91(3):032921. Epub 2015 Mar 23.

PMID:
25871186
12.

Stationary bumps in networks of spiking neurons.

Laing CR, Chow CC.

Neural Comput. 2001 Jul;13(7):1473-94.

PMID:
11440594
13.

Collective oscillations in disordered neural networks.

Olmi S, Livi R, Politi A, Torcini A.

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Apr;81(4 Pt 2):046119. Epub 2010 Apr 28.

PMID:
20481798
14.

Localized activity patterns in excitatory neuronal networks.

Rubin J, Bose A.

Network. 2004 May;15(2):133-58.

PMID:
15214703
15.

Two-point heterogeneous connections in a continuum neural field model.

Brackley CA, Turner MS.

Biol Cybern. 2009 May;100(5):371-83. doi: 10.1007/s00422-009-0308-7. Epub 2009 Apr 7.

PMID:
19350264
16.

Generic modeling of chemotactic based self-wiring of neural networks.

Segev R, Ben-Jacob E.

Neural Netw. 2000 Mar;13(2):185-99.

PMID:
10935760
17.

Network and intrinsic cellular mechanisms underlying theta phase precession of hippocampal neurons.

Maurer AP, McNaughton BL.

Trends Neurosci. 2007 Jul;30(7):325-33. Epub 2007 May 29. Review.

PMID:
17532482
18.
19.

Plasticity in single neuron and circuit computations.

Destexhe A, Marder E.

Nature. 2004 Oct 14;431(7010):789-95. Review.

PMID:
15483600
20.

A discrete map for the dynamics of recurrent excitatory neural networks in the presence of noise.

Pham J, Pakdaman K, Vibert JF.

Biosystems. 1998 Sep-Dec;48(1-3):179-86.

PMID:
9886646

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