Low-power neuromorphic circuits for unsupervised spike based learning

• المؤلف الرئيسي: He, Tong
• مؤلفون آخرون: Arindam Basu
• التنسيق: Final Year Project
• اللغة: English
• منشور في: 2016
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/68169
• المؤسسة: 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...