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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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Ambard, Maxime, Rotter, Stefan
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Frontiers Media S.A. 2012
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3501200/
https://ncbi.nlm.nih.gov/pubmed/23181017
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2012.00078
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