research
∙
05/26/2022
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training
Feedback-driven recurrent spiking neural networks (RSNNs) are powerful c...
share
research
∙
04/06/2022
A Design Methodology for Fault-Tolerant Computing using Astrocyte Neural Networks
We propose a design methodology to facilitate fault tolerance of deep le...
research
∙
02/21/2022
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants
Precise monitoring of respiratory rate in premature infants is essential...
research
∙
02/17/2022
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review
Recently, both industry and academia have proposed several different neu...
research
∙
01/27/2022
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware
Non-Volatile Memory (NVM) cells are used in neuromorphic hardware to sto...
research
∙
10/15/2021