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Neuromorphic Analog Implementation of Reservoir Computing for Machine Learning

At the 29th IEEE International Conference on Electronics Circuits and Systems (ICECS 2022), the IEEE's Circuits and Systems Society flagship conference, Avi Hazan will present our work: "Neuromorphic Analog Implementation of Reservoir Computing for Machine Learning". In this work, we propose an analog circuit design for reservoir computing using OZ spiking neurons, STDP (Spike- timing-dependent plasticity) synapses, and learning PES (prescribed error sensitivity) circuitry.