3 papers
cs.NE2015
Learning Spike time codes through Morphological Learning with Binary Synapses
Subhrajit Roy, Phyo Phyo San, Shaista Hussain +2
In this paper, a neuron with nonlinear dendrites (NNLD) and binary synapses that is able to learn temporal features of spike input patterns is considered. Since binary synapses are…
cs.NE2014
Hardware-Amenable Structural Learning for Spike-based Pattern Classification using a Simple Model of Active Dendrites
Shaista Hussain, Shih-Chii Liu, Arindam Basu
This paper presents a spike-based model which employs neurons with functionally distinct dendritic compartments for classifying high dimensional binary patterns. The synaptic input…
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.…