Cargando…
Synaptic Delays for Insect-Inspired Temporal Feature Detection in Dynamic Neuromorphic Processors
Spiking neural networks are well-suited for spatiotemporal feature detection and learning, and naturally involve dynamic delay mechanisms in the synapses, dendrites, and axons. Dedicated delay neurons and axonal delay circuits have been considered when implementing such pattern recognition networks...
Autores principales: | Sandin, Fredrik, Nilsson, Mattias |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059595/ https://www.ncbi.nlm.nih.gov/pubmed/32180698 http://dx.doi.org/10.3389/fnins.2020.00150 |
Ejemplares similares
-
Integration of neuromorphic AI in event-driven distributed digitized systems: Concepts and research directions
por: Nilsson, Mattias, et al.
Publicado: (2023) -
A role for neuromorphic processors in therapeutic nervous system stimulation
por: Thibeault, Corey M.
Publicado: (2014) -
Editorial: Synaptic Plasticity for Neuromorphic Systems
por: Mayr, Christian G., et al.
Publicado: (2016) -
Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
por: Thakur, Chetan Singh, et al.
Publicado: (2018) -
Corrigendum: Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
por: Thakur, Chetan Singh, et al.
Publicado: (2019)