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Priyadarshini Panda

Showing results (1-10 of 24) with videos related to

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Frontiers in Neuroscience|December 27, 2021
Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From ScratchYoungeun Kim, Priyadarshini Panda
Neural Networks : the Official Journal of the International Neural Network Society|October 18, 2021
Optimizing Deeper Spiking Neural Networks for Dynamic Vision SensingYoungeun Kim, Priyadarshini Panda
Neural Networks : the Official Journal of the International Neural Network Society|April 24, 2021
Implicit adversarial data augmentation and robustness with Noise-based LearningPriyadarshini Panda, Kaushik Roy
Frontiers in Neuroscience|January 10, 2018
Learning to Generate Sequences with Combination of Hebbian and Non-hebbian Plasticity in Recurrent Spiking Neural NetworksPriyadarshini Panda, Kaushik Roy
Frontiers in Neuroscience|March 20, 2018
Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural ModelPriyadarshini Panda, Narayan Srinivasa
Scientific Reports|September 25, 2021
Visual explanations from spiking neural networks using inter-spike intervalsYoungeun Kim, Priyadarshini Panda
Frontiers in Neuroscience|September 8, 2018
SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image RecognitionGopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
Nature|November 29, 2019
Towards spike-based machine intelligence with neuromorphic computingKaushik Roy, Akhilesh Jaiswal, Priyadarshini Panda
Neural Networks : the Official Journal of the International Neural Network Society|September 29, 2019
Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learningDeboleena Roy, Priyadarshini Panda, Kaushik Roy
Frontiers in Neuroscience|July 19, 2019
Synthesizing Images From Spatio-Temporal Representations Using Spike-Based BackpropagationDeboleena Roy, Priyadarshini Panda, Kaushik Roy
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Frontiers in Neuroscience|December 27, 2021
Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From ScratchYoungeun Kim, Priyadarshini Panda
Neural Networks : the Official Journal of the International Neural Network Society|October 18, 2021
Optimizing Deeper Spiking Neural Networks for Dynamic Vision SensingYoungeun Kim, Priyadarshini Panda
Neural Networks : the Official Journal of the International Neural Network Society|April 24, 2021
Implicit adversarial data augmentation and robustness with Noise-based LearningPriyadarshini Panda, Kaushik Roy
Frontiers in Neuroscience|January 10, 2018
Learning to Generate Sequences with Combination of Hebbian and Non-hebbian Plasticity in Recurrent Spiking Neural NetworksPriyadarshini Panda, Kaushik Roy
Frontiers in Neuroscience|March 20, 2018
Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural ModelPriyadarshini Panda, Narayan Srinivasa
Scientific Reports|September 25, 2021
Visual explanations from spiking neural networks using inter-spike intervalsYoungeun Kim, Priyadarshini Panda
Frontiers in Neuroscience|September 8, 2018
SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image RecognitionGopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
Nature|November 29, 2019
Towards spike-based machine intelligence with neuromorphic computingKaushik Roy, Akhilesh Jaiswal, Priyadarshini Panda
Neural Networks : the Official Journal of the International Neural Network Society|September 29, 2019
Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learningDeboleena Roy, Priyadarshini Panda, Kaushik Roy
Frontiers in Neuroscience|July 19, 2019
Synthesizing Images From Spatio-Temporal Representations Using Spike-Based BackpropagationDeboleena Roy, Priyadarshini Panda, Kaushik Roy
Pageof 3