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Gopalakrishnan Srinivasan

Showing results (1-10 of 19) with videos related to

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Frontiers in Neuroscience|November 15, 2021
BlocTrain: Block-Wise Conditional Training and Inference for Efficient Spike-Based Deep LearningGopalakrishnan Srinivasan, Kaushik Roy
Frontiers in Neuroscience|April 4, 2019
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic ComputingGopalakrishnan Srinivasan, Kaushik Roy
Frontiers in Neuroscience|September 8, 2018
SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image RecognitionGopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
Scientific Reports|July 14, 2016
Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP LearningGopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy
Frontiers in Neuroscience|September 12, 2019
Reinforcement Learning With Low-Complexity Liquid State MachinesWachirawit Ponghiran, Gopalakrishnan Srinivasan, Kaushik Roy
Frontiers in Neuroscience|June 14, 2019
Analysis of Liquid Ensembles for Enhancing the Performance and Accuracy of Liquid State MachinesParami Wijesinghe, Gopalakrishnan Srinivasan, Priyadarshini Panda, et al.
Frontiers in Neuroscience|August 21, 2018
Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-TuningChankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan, et al.
BMJ Case Reports|June 17, 2024
Confronting multidrug-resistant <i>Klebsiella</i> meningitis after mid-clival Cerebrospinal Fluid leak repair: a therapeutic odysseyAnbarasi Madoure, Dharanya Gopalakrishnan Srinivasan, Tejaswi Mishra, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|December 24, 2019
<i>In situ</i> unsupervised learning using stochastic switching in magneto-electric magnetic tunnel junctionsIndranil Chakraborty, Amogh Agrawal, Akhilesh Jaiswal, et al.
Frontiers in Neuroscience|March 18, 2020
Enabling Spike-Based Backpropagation for Training Deep Neural Network ArchitecturesChankyu Lee, Syed Shakib Sarwar, Priyadarshini Panda, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Frontiers in Neuroscience|November 15, 2021
BlocTrain: Block-Wise Conditional Training and Inference for Efficient Spike-Based Deep LearningGopalakrishnan Srinivasan, Kaushik Roy
Frontiers in Neuroscience|April 4, 2019
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic ComputingGopalakrishnan Srinivasan, Kaushik Roy
Frontiers in Neuroscience|September 8, 2018
SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image RecognitionGopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
Scientific Reports|July 14, 2016
Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP LearningGopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy
Frontiers in Neuroscience|September 12, 2019
Reinforcement Learning With Low-Complexity Liquid State MachinesWachirawit Ponghiran, Gopalakrishnan Srinivasan, Kaushik Roy
Frontiers in Neuroscience|June 14, 2019
Analysis of Liquid Ensembles for Enhancing the Performance and Accuracy of Liquid State MachinesParami Wijesinghe, Gopalakrishnan Srinivasan, Priyadarshini Panda, et al.
Frontiers in Neuroscience|August 21, 2018
Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-TuningChankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan, et al.
BMJ Case Reports|June 17, 2024
Confronting multidrug-resistant <i>Klebsiella</i> meningitis after mid-clival Cerebrospinal Fluid leak repair: a therapeutic odysseyAnbarasi Madoure, Dharanya Gopalakrishnan Srinivasan, Tejaswi Mishra, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|December 24, 2019
<i>In situ</i> unsupervised learning using stochastic switching in magneto-electric magnetic tunnel junctionsIndranil Chakraborty, Amogh Agrawal, Akhilesh Jaiswal, et al.
Frontiers in Neuroscience|March 18, 2020
Enabling Spike-Based Backpropagation for Training Deep Neural Network ArchitecturesChankyu Lee, Syed Shakib Sarwar, Priyadarshini Panda, et al.
Pageof 2