An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data

This paper introduces a novel methodology for training an event-driven classifier within a Spiking Neural Network (SNN) System capable of yielding good classification results when using both synthetic input data and real data captured from Dynamic Vision Sensor (DVS) chips. The proposed supervised m...

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Detalles Bibliográficos
Autores principales: Stromatias, Evangelos, Soto, Miguel, Serrano-Gotarredona, Teresa, Linares-Barranco, Bernabé
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487436/
https://www.ncbi.nlm.nih.gov/pubmed/28701911
http://dx.doi.org/10.3389/fnins.2017.00350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487436/
https://www.ncbi.nlm.nih.gov/pubmed/28701911
http://dx.doi.org/10.3389/fnins.2017.00350

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