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06/22/2023
Accelerating SNN Training with Stochastic Parallelizable Spiking Neurons
Spiking neural networks (SNN) are able to learn spatiotemporal features ...
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05/29/2023
Hardware-aware Training Techniques for Improving Robustness of Ex-Situ Neural Network Transfer onto Passive TiO2 ReRAM Crossbars
Passive resistive random access memory (ReRAM) crossbar arrays, a promis...
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07/14/2022
Efficient spike encoding algorithms for neuromorphic speech recognition
Spiking Neural Networks (SNN) are known to be very effective for neuromo...
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05/27/2021
Robust learning from corrupted EEG with dynamic spatial filtering
Building machine learning models using EEG recorded outside of the labor...
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10/18/2020
Evaluation of a Vision-to-Audition Substitution System that Provides 2D WHERE Information and Fast User Learning
Vision to audition substitution devices are designed to convey visual in...
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04/05/2019