Reservoir Computing with VCO-Based Spiking Neurons for Regression and Classification

Reservoir computing (RC) significantly reduces the requirement on hardware and training resources, making it suitable for edge-computing applications. This work proposes using voltage-controlled oscillator (VCO)-based spiking neurons for RC to leverage the intrinsic randomness and variability of the neuron circuit for low-power operations. We describe the underlying circuit design and propose a network architecture based on the spiking neuron for RC. We demonstrate the effectiveness of the proposed RC network using VCO-based spiking neurons through benchmark tasks and electrocardiogram (ECG) classification.