A Neuromorphic Computing Platform with Compact Neuromorphic Core

Abstract

With the rapid development of brain-like computing, large-scale neural computing platforms have received much attention. In order to reduce hardware overhead and build a large-scale neural computing platform, this work proposes a compact neuromorphic core model. Through the use of neuron multiplexing technology and weight clustering algorithm, we built a compact and versatile neuromorphic computing core that integrates 1K neurons and 1M synapses through 588 LUTs. Based on the core design, we propose a large-scale neuromorphic system. This neuromorphic computing platform integrates 64 neuromorphic cores and related control components. We successfully deployed this platform on Xilinx’s FPGA-Vertex-6 platform. We successfully deployed a three-layered spiking neural network (SNN) for image recognition and achieved 98.41% recognition accuracy through this platform.