Cargando…
Neuromorphic Silicon Neuron Circuits
Hardware implementations of spiking neurons can be extremely useful for a large variety of applications, ranging from high-speed modeling of large-scale neural systems to real-time behaving systems, to bidirectional brain–machine interfaces. The specific circuit solutions used to implement silicon n...
Autores principales: | Indiveri, Giacomo, Linares-Barranco, Bernabé, Hamilton, Tara Julia, van Schaik, André, Etienne-Cummings, Ralph, Delbruck, Tobi, Liu, Shih-Chii, Dudek, Piotr, Häfliger, Philipp, Renaud, Sylvie, Schemmel, Johannes, Cauwenberghs, Gert, Arthur, John, Hynna, Kai, Folowosele, Fopefolu, Saighi, Sylvain, Serrano-Gotarredona, Teresa, Wijekoon, Jayawan, Wang, Yingxue, Boahen, Kwabena |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130465/ https://www.ncbi.nlm.nih.gov/pubmed/21747754 http://dx.doi.org/10.3389/fnins.2011.00073 |
Ejemplares similares
-
STDP and STDP variations with memristors for spiking neuromorphic learning systems
por: Serrano-Gotarredona, T., et al.
Publicado: (2013) -
Research topic: neuromorphic engineering systems and applications. A snapshot of neuromorphic systems engineering
por: Delbruck, Tobi, et al.
Publicado: (2014) -
Editorial: Insights in neuromorphic engineering: 2021
por: van Schaik, André, et al.
Publicado: (2023) -
Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
por: Camuñas-Mesa, Luis A., et al.
Publicado: (2019) -
Feature Representations for Neuromorphic Audio Spike Streams
por: Anumula, Jithendar, et al.
Publicado: (2018)