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ORCIDRoshan Gopalakrishnan
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Journal Articles
- 2017
[j2]Roshan Gopalakrishnan, Arindam Basu
:
Triplet Spike Time-Dependent Plasticity in a Floating-Gate Synapse. IEEE Trans. Neural Networks Learn. Syst. 28(4): 778-790 (2017)- 2015
- [j1]Roshan Gopalakrishnan, Arindam Basu:
On the Non-STDP Behavior and Its Remedy in a Floating-Gate Synapse. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2596-2601 (2015)
Conference and Workshop Papers
- 2018
- [c4]Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer:
Classifying Neuromorphic Data Using a Deep Learning Framework for Image Classification. ICARCV 2018: 1520-1524 - 2015
- [c3]Roshan Gopalakrishnan, Arindam Basu:
Triplet spike time dependent plasticity in a floating-gate synapse. ISCAS 2015: 710-713 - 2014
- [c2]Roshan Gopalakrishnan, Arindam Basu:
Robust doublet STDP in a floating-gate synapse. IJCNN 2014: 4296-4301 - 2013
- [c1]Shaista Hussain, Roshan Gopalakrishnan, Arindam Basu, Shih-Chii Liu:
Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration. IJCNN 2013: 1-7
Informal and Other Publications
- 2019
- [i5]Roshan Gopalakrishnan, Ashish Jith Sreejith Kumar, Yansong Chua:
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses. CoRR abs/1901.00128 (2019) - [i4]Roshan Gopalakrishnan:
RRAM based neuromorphic algorithms. CoRR abs/1903.02519 (2019) - [i3]Roshan Gopalakrishnan, Yansong Chua, Ashish Jith Sreejith Kumar:
Hardware-friendly Neural Network Architecture for Neuromorphic Computing. CoRR abs/1906.08853 (2019) - 2018
- [i2]Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer:
Classifying neuromorphic data using a deep learning framework for image classification. CoRR abs/1807.00578 (2018) - 2015
- [i1]Roshan Gopalakrishnan, Arindam Basu:
Triplet Spike Time Dependent Plasticity: A floating-gate Implementation. CoRR abs/1512.00961 (2015)
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