34 citations · 77 across the 13 of their papers we have counts for
Showing 2013 · cs.NEShow all
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cs.NE2013
Delay Learning Architectures for Memory and Classification
Shaista Hussain, Arindam Basu, R. Wang +1
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.…
cs.NE2013
The Ripple Pond: Enabling Spiking Networks to See
Saeed Afshar, Gregory Cohen, Runchun Wang +4
In this paper we present the biologically inspired Ripple Pond Network (RPN), a simply connected spiking neural network that, operating together with recently proposed PolyChronous…
cs.NE2013★ 1 cited
Synthesis of neural networks for spatio-temporal spike pattern recognition and processing
J. Tapson, G. Cohen, S. Afshar +5
The advent of large scale neural computational platforms has highlighted the lack of algorithms for synthesis of neural structures to perform predefined cognitive tasks. The Neural…