Prof David Grayden
The Clifford Chair in Neural Engineering
Department of Biomedical Engineering
388 Scholarly works
70 Projects
HIGHLIGHTS
2023
Research grants (international)
Liberation From Biological Limitations via Physical, Cognitive and Perceptual Augmentation
2023
Research Grant
Fully Implantable Closed Loop Brain to X for Voice Communication
2020
Journal article
Determination of the electrical impedance of neural tissue from its microscopic cellular constituents
DOI: 10.1088/1741-2552/ab560a2019
Journal article
Global activity shaping strategies for a retinal implant
DOI: 10.1088/1741-2552/aaf0712018
Research grants (ARC, NHMRC, MRFF)
Arc Training Centre in Cognitive Computing for Medical Technologies (Arc - Central Operating)
2018
Journal article
Electrical receptive fields of retinal ganglion cells: Influence of presynaptic neurons
DOI: 10.1371/journal.pcbi.10059972017
Journal article
Prediction of cortical responses to simultaneous electrical stimulation of the retina
DOI: 10.1088/1741-2560/14/1/016006
RECENT SCHOLARLY WORKS
2026
Journal article
Characterization of gastric conduit electrophysiology in postesophagectomy patients using high-resolution body surface gastric mapping
DOI: 10.1016/j.gassur.2026.1024852026
Journal article
A neural mass modelling framework for evaluating EEG source localisation of seizure activity
DOI: 10.1088/1741-2552/ae80fb2026
Journal article
The Influence of Recording Duration and Vigilance State on High-Frequency Oscillation Characterization in Epilepsy
DOI: 10.1212/WNL.00000000002182252026
Journal article
Ultra-flexible wireless endovascular stimulator for cortical simulation.
DOI: 10.1088/1741-2552/ae857c2026
Journal article
Perturbation-induced responses improved seizure forecasting in epileptic rats
DOI: 10.1002/epi.701962026
Journal article
Toward a fully wireless endovascular neural interface: Evaluating power transfer efficacy
DOI: 10.1371/journal.pone.03511382026
Journal article
Seizure forecasting with multiple timescales and features
DOI: 10.1002/epi.700762026
Journal article
Adaptive Segmentation of EEG for Machine Learning Applications.
DOI: 10.1109/JBHI.2026.3670481