DELTRON : neuromorphic architectures for delay based learning

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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Hussain, Shaista, Basu, Arindam, Wang, Mark, Hamilton, Tara Julia
Muut tekijät: School of Electrical and Electronic Engineering
Aineistotyyppi: Conference Paper
Kieli:English
Julkaistu: 2013
Aiheet:
Linkit:https://hdl.handle.net/10356/101646
http://hdl.handle.net/10220/16341