An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks

• Main Authors: Roy, Subhrajit, Basu, Arindam
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2016
• Subjects: winner-take-all; spike-timing-dependent plasticity
• Online Access: https://hdl.handle.net/10356/80901; http://hdl.handle.net/10220/41059
• Institution: Nanyang Technological University

In this paper, we propose a novel winner-take-all (WTA) architecture employing neurons with nonlinear dendrites and an online unsupervised structural plasticity rule for training it. Furthermore, to aid hardware implementations, our network employs only binary synapses. The proposed learning rule is...