Computational models predict neural activity for re-establishing connectivity after stroke or injury

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
Nature

Neural Spike Sorting and Detection Techniques

Neural spike sorting is a fundamental process in neurophysiology whereby electrical signals recorded from brain tissue are analysed to extract the firing times of individual neurons. This technique is ...
EurekAlert!

HKUST pioneers computational models for transregional neural activity to re-establish damaged neural connectivity, offering new hope to patients

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have achieved a major ...
Semiconductor Engineering

Hypergraph-based Techniques To Map Spiking Neural Networks on Neuromorphic HW (Politecnico di Milano)

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...