Neuromorphic CMOS Circuits implementing a Novel Neural Segmentation Model based on Symmetric STDP Learning

摘要

We designed a simple neural segmentation model that is suitable for analog circuit implementation. The model consists of excitable neural oscillators and adaptive synapses, where the learning is governed by a symmetric spike-timing dependent plasticity (S