A TTFS-based energy and utilization efficient neuromorphic CNN accelerator

Spiking neural networks (SNNs), which are a form of neuromorphic, brain-inspired AI, have the potential to be a power-efficient alternative to artificial neural networks (ANNs). Spikes that occur in SNN systems, also known as activations, tend to be extremely sparse, and low in number. This minimize...

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Detalles Bibliográficos
Autores principales: Yu, Miao, Xiang, Tingting, P., Srivatsa, Chu, Kyle Timothy Ng, Amornpaisannon, Burin, Tavva, Yaswanth, Miriyala, Venkata Pavan Kumar, Carlson, Trevor E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198466/
https://www.ncbi.nlm.nih.gov/pubmed/37214405
http://dx.doi.org/10.3389/fnins.2023.1121592

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198466/
https://www.ncbi.nlm.nih.gov/pubmed/37214405
http://dx.doi.org/10.3389/fnins.2023.1121592

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