Literature DB >> 23067314

Simulating spiking neural networks on GPU.

Romain Brette1, Dan F M Goodman.   

Abstract

Modern graphics cards contain hundreds of cores that can be programmed for intensive calculations. They are beginning to be used for spiking neural network simulations. The goal is to make parallel simulation of spiking neural networks available to a large audience, without the requirements of a cluster. We review the ongoing efforts towards this goal, and we outline the main difficulties.

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Year:  2012        PMID： 23067314     DOI： 10.3109/0954898X.2012.730170

Source DB:  PubMed          Journal:  Network        ISSN： 0954-898X            Impact factor:   1.273


  15 in total

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2.  Brian 2, an intuitive and efficient neural simulator.

Authors:  Romain Brette; Dan Fm Goodman; Marcel Stimberg
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3.  From global to local: exploring the relationship between parameters and behaviors in models of electrical excitability.

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Journal:  J Comput Neurosci       Date:  2016-04-01       Impact factor: 1.621

4.  Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster.

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Review 5.  Code Generation in Computational Neuroscience: A Review of Tools and Techniques.

Authors:  Inga Blundell; Romain Brette; Thomas A Cleland; Thomas G Close; Daniel Coca; Andrew P Davison; Sandra Diaz-Pier; Carlos Fernandez Musoles; Padraig Gleeson; Dan F M Goodman; Michael Hines; Michael W Hopkins; Pramod Kumbhar; David R Lester; Bóris Marin; Abigail Morrison; Eric Müller; Thomas Nowotny; Alexander Peyser; Dimitri Plotnikov; Paul Richmond; Andrew Rowley; Bernhard Rumpe; Marcel Stimberg; Alan B Stokes; Adam Tomkins; Guido Trensch; Marmaduke Woodman; Jochen Martin Eppler
Journal:  Front Neuroinform       Date:  2018-11-05       Impact factor: 4.081

6.  A novel CPU/GPU simulation environment for large-scale biologically realistic neural modeling.

Authors:  Roger V Hoang; Devyani Tanna; Laurence C Jayet Bray; Sergiu M Dascalu; Frederick C Harris
Journal:  Front Neuroinform       Date:  2013-10-02       Impact factor: 4.081

7.  A framework for plasticity implementation on the SpiNNaker neural architecture.

Authors:  Francesco Galluppi; Xavier Lagorce; Evangelos Stromatias; Michael Pfeiffer; Luis A Plana; Steve B Furber; Ryad B Benosman
Journal:  Front Neurosci       Date:  2015-01-20       Impact factor: 4.677

8.  ANNarchy: a code generation approach to neural simulations on parallel hardware.

Authors:  Julien Vitay; Helge Ü Dinkelbach; Fred H Hamker
Journal:  Front Neuroinform       Date:  2015-07-31       Impact factor: 4.081

9.  Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue.

Authors:  Richard J Tomsett; Matt Ainsworth; Alexander Thiele; Mehdi Sanayei; Xing Chen; Marc A Gieselmann; Miles A Whittington; Mark O Cunningham; Marcus Kaiser
Journal:  Brain Struct Funct       Date:  2014-05-27       Impact factor: 3.270

10.  An efficient automated parameter tuning framework for spiking neural networks.

Authors:  Kristofor D Carlson; Jayram Moorkanikara Nageswaran; Nikil Dutt; Jeffrey L Krichmar
Journal:  Front Neurosci       Date:  2014-02-04       Impact factor: 4.677
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