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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...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2012
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| Materias: | |
| Acceso en línea: | 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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