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WiN-GUI: A graphical tool for neuron-based encoding

Neuromorphic computing relies on event-based, energy-efficient communication, inherently implying the need for conversion between real-valued (sensory) data and binary, sparse spiking representation. This is usually accomplished by using the real-valued data as current input to a spiking neuron mode...

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Détails bibliographiques
Auteurs principaux: Simon F. Müller-Cleve, Fernando M. Quintana, Vittorio Fra, Pedro L. Galindo, Fernando Perez-Peña, Gianvito Urgese, Chiara Bartolozzi
Format: Artigo
Langue:Inglês
Publié: Elsevier 2024-09-01
Collection:SoftwareX
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Accès en ligne:http://www.sciencedirect.com/science/article/pii/S2352711024001304
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