Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration. - Shaista Hussain; Roshan Gopalakrishnan; Arindam Basu; Shih-Chii Liu (IJCNN, 2013)

Robust doublet STDP in a floating-gate synapse. - Roshan Gopalakrishnan; Arindam Basu (IJCNN, 2014)

Triplet Spike Time Dependent Plasticity: A floating-gate Implementation. - Roshan Gopalakrishnan; Arindam Basu (CoRR, 2015)

On the Non-STDP Behavior and Its Remedy in a Floating-Gate Synapse. - Roshan Gopalakrishnan; Arindam Basu (IEEE Trans. Neural Networks Learn. Syst., 2015)

Triplet Spike Time-Dependent Plasticity in a Floating-Gate Synapse. - Roshan Gopalakrishnan; Arindam Basu (IEEE Trans. Neural Networks Learn. Syst., 2017)

Classifying Neuromorphic Data Using a Deep Learning Framework for Image Classification. - Roshan Gopalakrishnan; Yansong Chua; Laxmi R. Iyer (ICARCV, 2018)

MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses. - Roshan Gopalakrishnan; Ashish Jith Sreejith Kumar; Yansong Chua (CoRR, 2019)

RRAM based neuromorphic algorithms. - Roshan Gopalakrishnan (CoRR, 2019)

Hardware-friendly Neural Network Architecture for Neuromorphic Computing. - Roshan Gopalakrishnan; Yansong Chua; Ashish Jith Sreejith Kumar (CoRR, 2019)