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Conference papers
Real-time decoding of brain activity by embedded Spiking Neural Networks using OxRAM synapses
Abstract : An innovative approach for decoding of brain signals based on Spiking Neural Networks is presented in this paper. Synapses are implemented by BEOL compatible oxide resistive RAM (OxRAM) devices providing low programming voltages (<2.5V) and currents (∼30μA). Spike-timing-dependent plasticity enables the network for autonomous online spike sorting of measured biological signals. Ultra-low synaptic power consumption in the range of 10nW, recognition rates around 90% and real-time functionality bear high potential for future healthcare applications.
Keywords :
Brain computer interface
Decoding
Intelligent agents
Interfaces (computer)
Neural networks
Reconfigurable hardware
RRAM
Signal processing
Neuromorphic computing
Programming voltage
Spike timing dependent plasticities
Spike-sorting
Spiking neural networks
Brain
Innovative approaches
Health care application
Biological signals
https://hal-cea.archives-ouvertes.fr/cea-01817861
Contributor : Léna Le Roy Connect in order to contact the contributor
Submitted on : Monday, June 18, 2018 - 2:28:53 PM
Last modification on : Thursday, February 17, 2022 - 10:08:06 AM
Contributor : Léna Le Roy Connect in order to contact the contributor
Submitted on : Monday, June 18, 2018 - 2:28:53 PM
Last modification on : Thursday, February 17, 2022 - 10:08:06 AM