21 citations · 100 across the 21 of their papers we have counts for
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cs.NE2019★ 8 cited
A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights
Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy +1
This paper presents a novel method for information interpretability in an MC-SEFRON classifier. To develop a method to extract knowledge stored in a trained classifier, first, the…
cs.NE2019
Efficient single input-output layer spiking neural classifier with time-varying weight model
Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram
This paper presents a supervised learning algorithm, namely, the Synaptic Efficacy Function with Meta-neuron based learning algorithm (SEF-M) for a spiking neural network with a ti…