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Items: 1 to 20 of 130

1.

Real-time simulation of large-scale neural architectures for visual features computation based on GPU.

Chessa M, Bianchi V, Zampetti M, Sabatini SP, Solari F.

Network. 2012;23(4):272-91. doi: 10.3109/0954898X.2012.737500. Epub 2012 Nov 1.

PMID:
23116085
2.

Streaming parallel GPU acceleration of large-scale filter-based spiking neural networks.

Slażyński L, Bohte S.

Network. 2012;23(4):183-211. doi: 10.3109/0954898X.2012.733842. Epub 2012 Oct 25.

PMID:
23098420
3.

Comparison of GPU- and CPU-implementations of mean-firing rate neural networks on parallel hardware.

Dinkelbach HÜ, Vitay J, Beuth F, Hamker FH.

Network. 2012;23(4):212-36. doi: 10.3109/0954898X.2012.739292. Epub 2012 Nov 9.

PMID:
23140422
4.

Simulating spiking neural networks on GPU.

Brette R, Goodman DF.

Network. 2012;23(4):167-82. doi: 10.3109/0954898X.2012.730170. Epub 2012 Oct 15. Review.

PMID:
23067314
5.

Disparity estimation through Green's functions of matching equations.

Torreão JR.

Biol Cybern. 2007 Oct;97(4):307-16. Epub 2007 Aug 29.

PMID:
17762939
6.

Reduced models for binocular rivalry.

Laing CR, Frewen T, Kevrekidis IG.

J Comput Neurosci. 2010 Jun;28(3):459-76. doi: 10.1007/s10827-010-0227-6. Epub 2010 Feb 25.

PMID:
20182782
7.

Nexa: a scalable neural simulator with integrated analysis.

Benjaminsson S, Lansner A.

Network. 2012;23(4):254-71. doi: 10.3109/0954898X.2012.737087. Epub 2012 Nov 1.

PMID:
23116128
9.

Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units.

Igarashi J, Shouno O, Fukai T, Tsujino H.

Neural Netw. 2011 Nov;24(9):950-60. doi: 10.1016/j.neunet.2011.06.008. Epub 2011 Jun 30.

PMID:
21764258
10.

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors.

Nageswaran JM, Dutt N, Krichmar JL, Nicolau A, Veidenbaum AV.

Neural Netw. 2009 Jul-Aug;22(5-6):791-800. doi: 10.1016/j.neunet.2009.06.028. Epub 2009 Jul 2.

PMID:
19615853
11.

Programming time-multiplexed reconfigurable hardware using a scalable neuromorphic compiler.

Minkovich K, Srinivasa N, Cruz-Albrecht JM, Cho Y, Nogin A.

IEEE Trans Neural Netw Learn Syst. 2012 Jun;23(6):889-901. doi: 10.1109/TNNLS.2012.2191795.

PMID:
24806761
12.

Neural circuit models for computations in early visual cortex.

Zhaoping L.

Curr Opin Neurobiol. 2011 Oct;21(5):808-15. doi: 10.1016/j.conb.2011.07.005. Epub 2011 Aug 26. Review.

PMID:
21873046
14.

Neural models of binocular depth perception.

Lehky SR, Pouget A, Sejnowski TJ.

Cold Spring Harb Symp Quant Biol. 1990;55:765-77. Review. No abstract available.

PMID:
2132854
15.

Cortext: a columnar model of bottom-up and top-down processing in the neocortex.

Schrader S, Gewaltig MO, Körner U, Körner E.

Neural Netw. 2009 Oct;22(8):1055-70. doi: 10.1016/j.neunet.2009.07.021. Epub 2009 Jul 19.

PMID:
19713075
16.

The costs of ignoring high-order correlations in populations of model neurons.

Michel MM, Jacobs RA.

Neural Comput. 2006 Mar;18(3):660-82.

PMID:
16483412
17.

Performance evaluation of image processing algorithms on the GPU.

Castaño-Díez D, Moser D, Schoenegger A, Pruggnaller S, Frangakis AS.

J Struct Biol. 2008 Oct;164(1):153-60. doi: 10.1016/j.jsb.2008.07.006. Epub 2008 Jul 24.

PMID:
18692140
18.

Disparity-sensitive cells in the owl have a characteristic disparity.

Wagner H, Frost B.

Nature. 1993 Aug 26;364(6440):796-8.

PMID:
8355804
19.

Massively parallel neural encoding and decoding of visual stimuli.

Lazar AA, Zhou Y.

Neural Netw. 2012 Aug;32:303-12. doi: 10.1016/j.neunet.2012.02.007. Epub 2012 Feb 16.

PMID:
22397951
20.

Agent based modeling of blood coagulation system: implementation using a GPU based high speed framework.

Chen W, Ward K, Li Q, Kecman V, Najarian K, Menke N.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:145-8. doi: 10.1109/IEMBS.2011.6089915.

PMID:
22254271

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