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Roshan Gopalakrishnan
Roshan Gopalakrishnan
Scientist
Verified email at i2r.a-star.edu.sg
Title
Cited by
Cited by
Year
Triplet spike time-dependent plasticity in a floating-gate synapse
R Gopalakrishnan, A Basu
IEEE Transactions on Neural Networks and Learning Systems 28 (4), 778-790, 2015
162015
Triplet spike time-dependent plasticity in a floating-gate synapse
R Gopalakrishnan, A Basu
IEEE Transactions on Neural Networks and Learning Systems 28 (4), 778-790, 2015
162015
Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration
S Hussain, R Gopalakrishnan, A Basu, SC Liu
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7, 2013
132013
Classifying neuromorphic data using a deep learning framework for image classification
R Gopalakrishnan, Y Chua, LR Iyer
2018 15th international conference on control, automation, robotics and …, 2018
92018
On the non-STDP behavior and its remedy in a floating-gate synapse
R Gopalakrishnan, A Basu
IEEE Transactions on Neural Networks and Learning Systems 26 (10), 2596-2601, 2015
92015
Hfnet: A cnn architecture co-designed for neuromorphic hardware with a crossbar array of synapses
R Gopalakrishnan, Y Chua, P Sun, AJ Sreejith Kumar, A Basu
Frontiers in neuroscience 14, 907, 2020
82020
Robust doublet STDP in a floating-gate synapse
R Gopalakrishnan, A Basu
2014 International Joint Conference on Neural Networks (IJCNN), 4296-4301, 2014
72014
Hardware-friendly Neural Network Architecture for Neuromorphic Computing
R Gopalakrishnan, Y Chua, AJS Kumar
arXiv preprint arXiv:1906.08853, 2019
32019
RRAM based neuromorphic algorithms
R Gopalakrishnan
arXiv preprint arXiv:1903.02519, 2019
32019
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses
R Gopalakrishnan, AJS Kumar, Y Chua
arXiv preprint arXiv:1901.00128, 2019
22019
RRAM-based neuromorphic computing systems
PA Dananjaya, R Gopalakrishnan, WS Lew
Emerging Non-Volatile Memory Technologies, 383-414, 2021
12021
A system for mapping a neural network architecture onto a computing core and a method of mapping a neural network architecture onto a computing core
R Gopalakrishnan, YS Chua
US Patent App. 17/599,301, 2022
2022
This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.
R Gopalakrishnan, A Basu, R Gopalakrishnan, A Basu
2015
SYNAPTIC PLASTICITY IN VLSI: A FLOATING-GATE APPROACH
R GOPALAKRISHNAN
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