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System identification of spiking neuron networks: a model-driven approach

โœ Scribed by Daniele Linaro; Marco Storace; Maurizio Mattia

Book ID
104492740
Publisher
BioMed Central
Year
2011
Tongue
English
Weight
100 KB
Volume
12
Category
Article
ISSN
1471-2202

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we consider multidimensional systems of coupled nonlinear stochastic differential equations suitable for the study of the dynamics of collections of interacting noisy spiking neurons. Assumptions based on the smallness of third and higher central order moments of membrane potentials and recovery var