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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4413675/ https://www.ncbi.nlm.nih.gov/pubmed/25972778 http://dx.doi.org/10.3389/fnins.2015.00141 |