Cargando…
Exploiting noise as a resource for computation and learning in spiking neural networks
Networks of spiking neurons underpin the extraordinary information-processing capabilities of the brain and have become pillar models in neuromorphic artificial intelligence. Despite extensive research on spiking neural networks (SNNs), most studies are established on deterministic models, overlooki...
Autores principales: | Ma, Gehua, Yan, Rui, Tang, Huajin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591140/ https://www.ncbi.nlm.nih.gov/pubmed/37876899 http://dx.doi.org/10.1016/j.patter.2023.100831 |
Ejemplares similares
-
SCTN: Event-based object tracking with energy-efficient deep convolutional spiking neural networks
por: Ji, Mingcheng, et al.
Publicado: (2023) -
Corrigendum: SCTN: event-based object tracking with energy-efficient deep convolutional spiking neural networks
por: Ji, Mingcheng, et al.
Publicado: (2023) -
Toward Reflective Spiking Neural Networks Exploiting Memristive Devices
por: Makarov, Valeri A., et al.
Publicado: (2022) -
Overview of Spiking Neural Network Learning Approaches and Their Computational Complexities
por: Pietrzak, Paweł, et al.
Publicado: (2023) -
Precise-Spike-Driven Synaptic Plasticity: Learning Hetero-Association of Spatiotemporal Spike Patterns
por: Yu, Qiang, et al.
Publicado: (2013)