DELTRON : neuromorphic architectures for delay based learning

• Main Authors: Hussain, Shaista, Basu, Arindam, Wang, Mark, Hamilton, Tara Julia
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/101646; http://hdl.handle.net/10220/16341
• Institution: Nanyang Technological University

We present a neuromorphic spiking neural network, the DELTRON, that can remember and store patterns by changing the delays of every connection as opposed to modifying the weights. The advantage of this architecture over traditional weight based ones is simpler hardware implementation without multipl...