Gopalakrishnan Srinivasan

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STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Neural Networks for Energy-Efficient Neuromorphic Computing

Kaushik Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, 2018, ACM J. Emerg. Technol. Comput. Syst..

Reinforcement Learning With Low-Complexity Liquid State Machines

Gopalakrishnan Srinivasan, Kaushik Roy, Wachirawit Ponghiran, 2019, Front. Neurosci..

Convolutional Spike Timing Dependent Plasticity based Feature Learning in Spiking Neural Networks pdf

Kaushik Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, 2017, ArXiv.

Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks

Kaushik Roy, Vijay Raghunathan, Gopalakrishnan Srinivasan, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Invited — Cross-layer approximations for neuromorphic computing: From devices to circuits and systems

Kaushik Roy, Anand Raghunathan, Swagath Venkataramani, 2016, 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC).

Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity

Gopalakrishnan Srinivasan, Priyadarshini Panda, Chankyu Lee, 2019, IEEE Transactions on Cognitive and Developmental Systems.

Stochastic Inference and Learning Enabled by Magnetic Tunnel Junctions

Kaushik Roy, Gopalakrishnan Srinivasan, Deboleena Roy, 2018, 2018 IEEE International Electron Devices Meeting (IEDM).

ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing

Kaushik Roy, Gopalakrishnan Srinivasan, K. Roy, 2019, Front. Neurosci..

Structured Learning for Action Recognition in Videos

Kaushik Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, 2019, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Proposal for a Leaky-Integrate-Fire Spiking Neuron Based on Magnetoelectric Switching of Ferromagnets

Kaushik Roy, Gopalakrishnan Srinivasan, Akhilesh Jaiswal, 2016, IEEE Transactions on Electron Devices.

SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image Recognition

Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy, 2018, Front. Neurosci..

Magnetic tunnel junction enabled all-spin stochastic spiking neural network

Kaushik Roy, Gopalakrishnan Srinivasan, Abhronil Sengupta, 2017, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017.

Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning

Gopalakrishnan Srinivasan, Priyadarshini Panda, Chankyu Lee, 2018, Front. Neurosci..

In situ unsupervised learning using stochastic switching in magneto-electric magnetic tunnel junctions

Indranil Chakraborty, Kaushik Roy, Gopalakrishnan Srinivasan, 2019, Philosophical Transactions of the Royal Society A.

EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks

Kaushik Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks

Kaushik Roy, Parami Wijesinghe, Gopalakrishnan Srinivasan, 2016, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Analysis of Liquid Ensembles for Enhancing the Performance and Accuracy of Liquid State Machines

Parami Wijesinghe, Gopalakrishnan Srinivasan, Priyadarshini Panda, 2019, Front. Neurosci..

Neural Networks at the Edge

Kaushik Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, 2019, 2019 IEEE International Conference on Smart Computing (SMARTCOMP).

Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP Learning

Kaushik Roy, Gopalakrishnan Srinivasan, Abhronil Sengupta, 2016, Scientific Reports.

Reward Modulated Spike Timing Dependent Plasticity Based Learning Mechanism in Spiking Neural Networks

Gopalakrishnan Srinivasan, Kaushik Roy, Shrihari Sridharan, 2016 .

Energy Efficient Neural Computing: A Study of Cross-Layer Approximations

Anand Raghunathan, Parami Wijesinghe, Kaushik Roy, 2018, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays

Kaushik Roy, Gopalakrishnan Srinivasan, Deboleena Roy, 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

Brain Inspired Enhanced Learning Mechanism Based on Spike Timing Dependent Plasticity (STDP) for Efficient Pattern Recognition in Spiking Neural Networks

Vijay Raghunathan, Gopalakrishnan Srinivasan, Sourjya Roy, 2016 .

Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems

Gopalakrishnan Srinivasan, Yinghan Long, Indranil Chakraborty, 2021, 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS).