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Disambiguation of "Srinivasan, Gopalakrishnan"

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Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems.

, , , , , , and . DAC, page 98:1-98:6. ACM, (2016)

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Saiprasath Gopalakrishnan

Selvi Gopalakrishnan

Gopalakrishnan Venkiteswaran

Vijay Gopalakrishnan

R Srinivasan

 

Other publications of authors with the same name

Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity., , , and . IEEE Trans. Cognitive and Developmental Systems, 11 (3): 384-394 (2019)Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation., , , and . CoRR, (2020)sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge., , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 67-I (8): 2546-2555 (2020)Convolutional Spike Timing Dependent Plasticity based Feature Learning in Spiking Neural Networks., , and . CoRR, (2017)Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems., , , , , , and . DAC, page 98:1-98:6. ACM, (2016)Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing., , , , , and . ICASSP, page 8549-8553. IEEE, (2020)Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity., , , and . IJCNN, page 1-8. IEEE, (2020)Reinforcement Learning with Low-Complexity Liquid State Machines., , and . CoRR, (2019)Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation., , , and . CoRR, (2020)Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies., , , , , , , , , and 1 other author(s). IEEE Trans. Very Large Scale Integr. Syst., 28 (12): 2481-2494 (2020)