Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity

Recent developments in neuromorphic hardware engineering make mixed-signal VLSI neural network models promising candidates for neuroscientific research tools and massively parallel computing devices, especially for tasks which exhaust the computing power of software simulations. Still, like all anal...

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Detalles Bibliográficos
Autores principales: Bill, Johannes, Schuch, Klaus, Brüderle, Daniel, Schemmel, Johannes, Maass, Wolfgang, Meier, Karlheinz
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2965017/
https://www.ncbi.nlm.nih.gov/pubmed/21031027
http://dx.doi.org/10.3389/fncom.2010.00129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2965017/
https://www.ncbi.nlm.nih.gov/pubmed/21031027
http://dx.doi.org/10.3389/fncom.2010.00129

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