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Paul Richmond

Showing results (1-10 of 10) with videos related to

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Frontiers in Neuroinformatics|April 20, 2019
Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve ScalabilityCarlos Fernandez-Musoles, Daniel Coca, Paul Richmond
Plos One|May 17, 2011
Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulationsPaul Richmond, Lars Buesing, Michele Giugliano, et al.
Briefings in Bioinformatics|February 4, 2010
High performance cellular level agent-based simulation with FLAME for the GPUPaul Richmond, Dawn Walker, Simon Coakley, et al.
Neuroinformatics|November 21, 2013
From model specification to simulation of biologically constrained networks of spiking neuronsPaul Richmond, Alex Cope, Kevin Gurney, et al.
Physical Review Letters|October 18, 2014
Gravity dual of supersymmetric gauge theories on a squashed five-sphereLuis F Alday, Martin Fluder, Paul Richmond, et al.
Plos Computational Biology|December 23, 2024
Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53Kenneth Y Wertheim, Robert Chisholm, Paul Richmond, et al.
BMC Bioinformatics|December 12, 2019
Parallelisation strategies for agent based simulation of immune systemsMozhgan Kabiri Chimeh, Peter Heywood, Marzio Pennisi, et al.
Organic & Biomolecular Chemistry|August 30, 2003
Polyhalogenated heterocyclic compounds. Macrocycles from perfluoro-4-isopropylpyridineRichard D Chambers, Philip R Hoskin, Alan R Kenwright, et al.
Frontiers in Neuroinformatics|November 21, 2018
Code Generation in Computational Neuroscience: A Review of Tools and TechniquesInga Blundell, Romain Brette, Thomas A Cleland, et al.
European Radiology Experimental|April 5, 2020
PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkersLuis Martí-Bonmatí, Ángel Alberich-Bayarri, Ruth Ladenstein, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroinformatics|April 20, 2019
Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve ScalabilityCarlos Fernandez-Musoles, Daniel Coca, Paul Richmond
Plos One|May 17, 2011
Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulationsPaul Richmond, Lars Buesing, Michele Giugliano, et al.
Briefings in Bioinformatics|February 4, 2010
High performance cellular level agent-based simulation with FLAME for the GPUPaul Richmond, Dawn Walker, Simon Coakley, et al.
Neuroinformatics|November 21, 2013
From model specification to simulation of biologically constrained networks of spiking neuronsPaul Richmond, Alex Cope, Kevin Gurney, et al.
Physical Review Letters|October 18, 2014
Gravity dual of supersymmetric gauge theories on a squashed five-sphereLuis F Alday, Martin Fluder, Paul Richmond, et al.
Plos Computational Biology|December 23, 2024
Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53Kenneth Y Wertheim, Robert Chisholm, Paul Richmond, et al.
BMC Bioinformatics|December 12, 2019
Parallelisation strategies for agent based simulation of immune systemsMozhgan Kabiri Chimeh, Peter Heywood, Marzio Pennisi, et al.
Organic & Biomolecular Chemistry|August 30, 2003
Polyhalogenated heterocyclic compounds. Macrocycles from perfluoro-4-isopropylpyridineRichard D Chambers, Philip R Hoskin, Alan R Kenwright, et al.
Frontiers in Neuroinformatics|November 21, 2018
Code Generation in Computational Neuroscience: A Review of Tools and TechniquesInga Blundell, Romain Brette, Thomas A Cleland, et al.
European Radiology Experimental|April 5, 2020
PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkersLuis Martí-Bonmatí, Ángel Alberich-Bayarri, Ruth Ladenstein, et al.
Pageof 1