A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses

Implementing compact, low-power artificial neural processing systems with real-time on-line learning abilities is still an open challenge. In this paper we present a full-custom mixed-signal VLSI device with neuromorphic learning circuits that emulate the biophysics of real spiking neurons and dynam...

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Vydáno v:Front Neurosci
Hlavní autoři: Qiao, Ning, Mostafa, Hesham, Corradi, Federico, Osswald, Marc, Stefanini, Fabio, Sumislawska, Dora, Indiveri, Giacomo
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2015
Témata:
Neuroscience
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4413675/
https://ncbi.nlm.nih.gov/pubmed/25972778
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2015.00141
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