Title
Event-driven simulation of neural population synchronization facilitated by electrical coupling.
Abstract
Most neural communication and processing tasks are driven by spikes. This has enabled the application of the event-driven simulation schemes. However the simulation of spiking neural networks based on complex models that cannot be simplified to analytical expressions (requiring numerical calculation) is very time consuming. Here we describe briefly an event-driven simulation scheme that uses pre-calculated table-based neuron characterizations to avoid numerical calculations during a network simulation, allowing the simulation of large-scale neural systems. More concretely we explain how electrical coupling can be simulated efficiently within this computation scheme, reproducing synchronization processes observed in detailed simulations of neural populations.
Year
DOI
Venue
2007
10.1016/j.biosystems.2006.09.023
Biosystems
Keywords
Field
DocType
Event-driven,Spiking neuron,Neural synchronization,Electrical coupling
Population,Synchronization,Expression (mathematics),Physical neural network,Random neural network,Computer science,Network simulation,Artificial intelligence,Spiking neural network,Machine learning,Computation
Journal
Volume
Issue
ISSN
87
2
0303-2647
Citations 
PageRank 
References 
7
0.66
6
Authors
5
Name
Order
Citations
PageRank
Richard R. Carrillo122116.45
Eduardo Ros2110086.00
Boris Barbour3543.65
Christian Boucheny4895.74
Olivier J. M. D. Coenen514714.96