Neuromorphic Analog Implementation of Reservoir Computing for Machine Learning

At the 29th IEEE Intercontinental Meeting on Electronics Circuits and Units (ICECS 2022), the IEEE’s Circuits and Units Society flagship convention, Avi Hazan will present our perform: “Neuromorphic Analog Implementation of Reservoir Computing for Machine Learning”. In this perform, we propose an analog circuit design for reservoir computing working with OZ spiking neurons, STDP (Spike- timing-dependent plasticity) synapses, and mastering PES (prescribed error sensitivity) circuitry.

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