Low-power neuromorphic circuits for unsupervised spike based learning

• Main Author: He, Tong
• Other Authors: Arindam Basu
• Format: Final Year Project
• Language: English
• Published: 2016
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
• Online Access: http://hdl.handle.net/10356/68169
• Institution: Nanyang Technological University

This article introduces a novel multi-layer Winner- Take-All (ML-WTA) spiking neural network (SNN) architecture using neurons with nonlinear dendrites and binary synapses. The network is trained by an unsupervised spike based learning rule that modifies the network connections. Inspired by the multi...