DELTRON : neuromorphic architectures for delay based learning

• المؤلفون الرئيسيون: Hussain, Shaista, Basu, Arindam, Wang, Mark, Hamilton, Tara Julia
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/101646; http://hdl.handle.net/10220/16341

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...