Cargando…
Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems. The brain has evolved over billions of years to solve difficult eng...
Autores principales: | Thakur, Chetan Singh, Molin, Jamal Lottier, Cauwenberghs, Gert, Indiveri, Giacomo, Kumar, Kundan, Qiao, Ning, Schemmel, Johannes, Wang, Runchun, Chicca, Elisabetta, Olson Hasler, Jennifer, Seo, Jae-sun, Yu, Shimeng, Cao, Yu, van Schaik, André, Etienne-Cummings, Ralph |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6287454/ https://www.ncbi.nlm.nih.gov/pubmed/30559644 http://dx.doi.org/10.3389/fnins.2018.00891 |
Ejemplares similares
-
Corrigendum: Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
por: Thakur, Chetan Singh, et al.
Publicado: (2019) -
An FPGA-Based Massively Parallel Neuromorphic Cortex Simulator
por: Wang, Runchun M., et al.
Publicado: (2018) -
Neuromorphic Silicon Neuron Circuits
por: Indiveri, Giacomo, et al.
Publicado: (2011) -
Breaking Liebig’s Law: An Advanced Multipurpose Neuromorphic Engine
por: Wang, Runchun, et al.
Publicado: (2018) -
Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
por: Büchel, Julian, et al.
Publicado: (2021)