Spiking Neural Networks based on OxRAM Synapses for Real-time Unsupervised Spike Sorting

Spiking Neural Networks based on OxRAM Synapses for Real-time Unsupervised Spike Sorting

In this paper, we present an alternative approach to perform spike sorting of complex brain signals based on spiking neural networks (SNN). The proposed architecture is suitable for hardware implementation by using RRAM technology for the implementation of synapses whose low latency (< 1μs) enabl...

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Bibliographic Details
Main Authors: Thilo Werner, Elisa Vianello, Olivier Bichler, Daniele Garbin, Daniel Cattaert, Blaise Yvert, Barbara De Salvo, Luca Perniola
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-11-01
Series:Frontiers in Neuroscience
Subjects:
Brain-Computer Interfaces
spike sorting
Spiking Neural network
Spike timing-dependent plasticity
neuromorphic computing
OxRAM
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00474/full

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http://journal.frontiersin.org/Journal/10.3389/fnins.2016.00474/full

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