Efficient single input-output layer spiking neural classifier with time-varying weight model. - Abeegithan Jeyasothy; Savitha Ramasamy; Suresh Sundaram 002 (CoRR, 2019)

A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. - Abeegithan Jeyasothy; Suresh Sundaram 002; Savitha Ramasamy; Narasimhan Sundararajan (CoRR, 2019)

SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification. - Abeegithan Jeyasothy; Suresh Sundaram 002; Narasimhan Sundararajan (IEEE Trans. Neural Networks Learn. Syst., 2019)

Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem. - Abeegithan Jeyasothy; Savitha Ramasamy; Suresh Sundaram 002 (Expert Syst. Appl., 2021)

Development of interpretable spiking neural network for multiclass classification - Abeegithan Jeyasothy (2021)

A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation. - Abeegithan Jeyasothy; Savitha Ramasamy; Suresh Sundaram 002 (Appl. Soft Comput., 2024)

Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier. - Abeegithan Jeyasothy; Suresh Sundaram 002; Savitha Ramasamy; Narasimhan Sundararajan (IEEE Trans. Cybern., 2024)