Support vector machines for spike pattern classification with a leaky integrate-and-fire neuron

Spike pattern classification is a key topic in machine learning, computational neuroscience, and electronic device design. Here, we offer a new supervised learning rule based on Support Vector Machines (SVM) to determine the synaptic weights of a leaky integrate-and-fire (LIF) neuron model for spike...

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Detalles Bibliográficos
Autores principales: Ambard, Maxime, Rotter, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3501200/
https://www.ncbi.nlm.nih.gov/pubmed/23181017
http://dx.doi.org/10.3389/fncom.2012.00078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3501200/
https://www.ncbi.nlm.nih.gov/pubmed/23181017
http://dx.doi.org/10.3389/fncom.2012.00078

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