First Error-Based Supervised Learning Algorithm for Spiking Neural Networks

Neural circuits respond to multiple sensory stimuli by firing precisely timed spikes. Inspired by this phenomenon, the spike timing-based spiking neural networks (SNNs) are proposed to process and memorize the spatiotemporal spike patterns. However, the response speed and accuracy of the existing le...

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Detalles Bibliográficos
Autores principales: Luo, Xiaoling, Qu, Hong, Zhang, Yun, Chen, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563788/
https://www.ncbi.nlm.nih.gov/pubmed/31244594
http://dx.doi.org/10.3389/fnins.2019.00559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563788/
https://www.ncbi.nlm.nih.gov/pubmed/31244594
http://dx.doi.org/10.3389/fnins.2019.00559

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