Spiking neural network

Results: 57



#Item
21Euroscipy 2011: Python in Neuroscience workshop  Paris, Ecole Normale Supérieure, AugustProgram committee • Bertrand Thirion (INRIA Saclay)

Euroscipy 2011: Python in Neuroscience workshop Paris, Ecole Normale Supérieure, AugustProgram committee • Bertrand Thirion (INRIA Saclay)

Add to Reading List

Source URL: pythonneuro.sciencesconf.org

Language: English - Date: 2012-06-28 07:59:52
22QuickTime et un dcompresseur TIFF (non compress) sont requis pour visionner cette image. A first step towards in silico neuronal implementation of early-vision map.

QuickTime et un dcompresseur TIFF (non compress) sont requis pour visionner cette image. A first step towards in silico neuronal implementation of early-vision map.

Add to Reading List

Source URL: www-sop.inria.fr

Language: English - Date: 2007-08-03 02:17:16
23J Stat Phys: 565–602 DOIs10955How Gibbs Distributions May Naturally Arise from Synaptic Adaptation Mechanisms. A Model-Based Argumentation

J Stat Phys: 565–602 DOIs10955How Gibbs Distributions May Naturally Arise from Synaptic Adaptation Mechanisms. A Model-Based Argumentation

Add to Reading List

Source URL: www-sop.inria.fr

Language: English - Date: 2009-08-25 07:25:13
24Revisiting time discretisation of spiking network models Bruno Cessac, Thierry Viéville Projet Odyssée INRIA Sophia-Antipolis, ENS, ENPC

Revisiting time discretisation of spiking network models Bruno Cessac, Thierry Viéville Projet Odyssée INRIA Sophia-Antipolis, ENS, ENPC

Add to Reading List

Source URL: www-sop.inria.fr

Language: English - Date: 2007-08-03 02:17:33
25Bluehive — A Field-Programable Custom Computing Machine for Extreme-Scale Real-Time Neural Network Simulation Simon W Moore, Paul J Fox, Steven JT Marsh, A Theodore Markettos and Alan Mujumdar Computer Laboratory Unive

Bluehive — A Field-Programable Custom Computing Machine for Extreme-Scale Real-Time Neural Network Simulation Simon W Moore, Paul J Fox, Steven JT Marsh, A Theodore Markettos and Alan Mujumdar Computer Laboratory Unive

Add to Reading List

Source URL: www.cl.cam.ac.uk

Language: English - Date: 2012-09-10 07:32:58
26Department of Computer Science  On the use of Cortical Principles in Deep Learning Benjamin Pryke  __________________________________________

Department of Computer Science On the use of Cortical Principles in Deep Learning Benjamin Pryke __________________________________________

Add to Reading List

Source URL: dl.dropboxusercontent.com

Language: English
27Bluehive — A Field-Programable Custom Computing Machine for Extreme-Scale Real-Time Neural Network Simulation Simon W Moore, Paul J Fox, Steven JT Marsh, A Theodore Markettos and Alan Mujumdar Computer Laboratory Unive

Bluehive — A Field-Programable Custom Computing Machine for Extreme-Scale Real-Time Neural Network Simulation Simon W Moore, Paul J Fox, Steven JT Marsh, A Theodore Markettos and Alan Mujumdar Computer Laboratory Unive

Add to Reading List

Source URL: www.cl.cam.ac.uk

Language: English - Date: 2012-07-31 08:34:10
28c IEEEAccepted for 6th International IEEE EMBS Conference on Neural Engineering (NERImproving odor classification through self-organized lateral inhibition in a spiking olfaction-inspired network Bahadir K

c IEEEAccepted for 6th International IEEE EMBS Conference on Neural Engineering (NERImproving odor classification through self-organized lateral inhibition in a spiking olfaction-inspired network Bahadir K

Add to Reading List

Source URL: bioml.net

Language: English - Date: 2015-02-09 16:27:47
29Complex Networks of Spiking Neurons: Collective Behavior Characterization Alexander M. Duda & Stephen E. Levinson University of Illinois at Urbana-Champaign

Complex Networks of Spiking Neurons: Collective Behavior Characterization Alexander M. Duda & Stephen E. Levinson University of Illinois at Urbana-Champaign

Add to Reading List

Source URL: www.isle.illinois.edu

Language: English - Date: 2011-04-29 10:37:27
30Real-time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ∼100× Speedup in Time-to-Solution and ∼100, 000× Reduction in Energy-to-Solution Andrew S. Cassidy∗ , Rodrigo Alvarez-Icaza∗ , Filipp Akop

Real-time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ∼100× Speedup in Time-to-Solution and ∼100, 000× Reduction in Energy-to-Solution Andrew S. Cassidy∗ , Rodrigo Alvarez-Icaza∗ , Filipp Akop

Add to Reading List

Source URL: dl.dropboxusercontent.com

Language: English