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.
['Thilo Werner', 'Daniele Garbin', 'E. Vianello', 'Olivier Bichler', 'Daniel Cattaert', 'Blaise Yvert', 'B. De Salvo', 'L. Perniola']
Real-time decoding of brain activity by embedded Spiking Neural Networks using OxRAM synapses