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Items: 1 to 20 of 290

1.

Information and topology in attractor neural networks.

Dominguez D, Koroutchev K, Serrano E, Rodríguez FB.

Neural Comput. 2007 Apr;19(4):956-73.

PMID:
17348769
2.

Three-state neural network: from mutual information to the Hamiltonian.

Carreta Dominguez DR, Korutcheva E.

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 Aug;62(2 Pt B):2620-8.

PMID:
11088741
3.

Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies.

Kitano K, Fukai T.

J Comput Neurosci. 2007 Oct;23(2):237-50. Epub 2007 Apr 6.

PMID:
17415629
4.

Design of continuous attractor networks with monotonic tuning using a symmetry principle.

Machens CK, Brody CD.

Neural Comput. 2008 Feb;20(2):452-85.

PMID:
18047414
5.

Autoassociative memory retrieval and spontaneous activity bumps in small-world networks of integrate-and-fire neurons.

Anishchenko A, Treves A.

J Physiol Paris. 2006 Oct;100(4):225-36. Epub 2007 Jan 14. Review.

PMID:
17320359
6.

Selectively grouping neurons in recurrent networks of lateral inhibition.

Xie X, Hahnloser RH, Seung HS.

Neural Comput. 2002 Nov;14(11):2627-46.

PMID:
12433293
7.

Connectivity and dynamics of neural information processing.

Jirsa VK.

Neuroinformatics. 2004;2(2):183-204. Review.

PMID:
15319516
8.

Structured information in small-world neural networks.

Dominguez D, González M, Serrano E, Rodríguez FB.

Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Feb;79(2 Pt 1):021909. Epub 2009 Feb 10.

PMID:
19391780
9.
10.
11.

Noise tolerance of attractor and feedforward memory models.

Lim S, Goldman MS.

Neural Comput. 2012 Feb;24(2):332-90. doi: 10.1162/NECO_a_00234. Epub 2011 Nov 17.

PMID:
22091664
12.

The relationship between structural and functional connectivity: graph theoretical analysis of an EEG neural mass model.

Ponten SC, Daffertshofer A, Hillebrand A, Stam CJ.

Neuroimage. 2010 Sep;52(3):985-94. doi: 10.1016/j.neuroimage.2009.10.049. Epub 2009 Oct 22.

PMID:
19853665
13.

[Cognitive advantages of the third age: a neural network model of brain aging].

Karpenko MP, Kachalova LM, Budilova EV, Terekhin AT.

Zh Vyssh Nerv Deiat Im I P Pavlova. 2009 Mar-Apr;59(2):252-6. Russian.

PMID:
19445395
14.

Localist attractor networks.

Zemel RS, Mozer MC.

Neural Comput. 2001 May;13(5):1045-64.

PMID:
11359644
15.

Stochastic dynamics as a principle of brain function.

Deco G, Rolls ET, Romo R.

Prog Neurobiol. 2009 May;88(1):1-16. doi: 10.1016/j.pneurobio.2009.01.006. Epub 2009 Jan 30.

PMID:
19428958
16.

Recurrent networks with short term synaptic depression.

York LC, van Rossum MC.

J Comput Neurosci. 2009 Dec;27(3):607-20. doi: 10.1007/s10827-009-0172-4. Epub 2009 Jul 4.

PMID:
19578989
17.

Mutual information of sparsely coded associative memory with self-control and ternary neurons.

Bollé D, Dominguez DR, Amari S.

Neural Netw. 2000 May-Jun;13(4-5):455-62.

PMID:
10946393
18.

Recognition of general patterns using neural networks.

Wong AJ.

Biol Cybern. 1988;58(6):361-72.

PMID:
3395631
19.

Storing cycles in Hopfield-type networks with pseudoinverse learning rule: admissibility and network topology.

Zhang C, Dangelmayr G, Oprea I.

Neural Netw. 2013 Oct;46:283-98. doi: 10.1016/j.neunet.2013.06.008. Epub 2013 Jun 29.

PMID:
23872430
20.

Operational principles of neurocognitive networks.

Bressler SL, Tognoli E.

Int J Psychophysiol. 2006 May;60(2):139-48. Epub 2006 Feb 21. Review.

PMID:
16490271

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