Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics

DOI10.1162/neco.2006.18.12.2959zbMath1107.92012OpenAlexW2157580187WikidataQ40277647 ScholiaQ40277647MaRDI QIDQ3421379

Rodrigo Agís, Boris Barbour, E. Ros, E. M. Ortigosa, Richard Carrillo

Publication date: 12 February 2007

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10481/22397

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20)

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Uses Software

• NEURON

Cites Work

• A discrete-event neural network simulator for general neuron models
• A Novel Spike Distance
• Sorting using heap structure
• Performance of height-balanced trees
• THE DYNAMICS OF RUNGE–KUTTA METHODS
• Dynamics of a recurrent network of spiking neurons before and following learning
• Metric-space analysis of spike trains: theory, algorithms and application
• Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics