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04/20/2023
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout
Spiking neural networks (SNNs) have gained attention as models of sparse...
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12/20/2021
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time
The event-driven and sparse nature of communication between spiking neur...
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03/12/2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Inspired by more detailed modeling of biological neurons, Spiking neural...
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05/24/2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks
The emergence of brain-inspired neuromorphic computing as a paradigm for...
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02/18/2019
LocalNorm: Robust Image Classification through Dynamically Regularized Normalization
While modern convolutional neural networks achieve outstanding accuracy ...
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06/13/2018