David Grayden

Professor and Clifford Chair of Neural Engineering

University of Melbourne

Australia

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David Grayden is a Professor and the Clifford Chair of Neural Engineering at the University of Melbourne, Australia. His research areas include neural engineering, seizure prediction, brain-computer interfaces, and signal processing in EEG. His recent publications explore topics such as seizure dynamics, retinal prosthesis development, and motor imagery classification.

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Collaborators (14)

Jodie Naim-Feil

Lecturer

AUSTRALIA

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Mark J. Cook

AUSTRALIA

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Andre Peterson

AUSTRALIA

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Alex Thompson

Bionics Institute

AUSTRALIA

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Levin Kuhlmann

MONASH UNIVERSITY

AUSTRALIA

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Gilles Huberfeld

Collège de France

FRANCE

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CATHERINE DAVEY

Lecturer

University of Melbourne

AUSTRALIA

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MARTIN SPENCER

University of Melbourne

AUSTRALIA

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Andrew Trevelyan

Senior Lecturer

Newcastle University

UNITED KINGDOM

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Ying Tan

Professor

University of Melbourne

AUSTRALIA

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Logan Schneider

Clinical Assistant Professor (affiliated)

Stanford University School of Medicine

UNITED STATES

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MOHIT SHIVDASANI

Senior Lecturer in Bionics and Neuromodulation

University of New South Wales

AUSTRALIA

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June Sic Kim

Seoul National University

SOUTH KOREA

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Chun Kee Chung

Seoul National University

SOUTH KOREA

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David Grayden

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Articles (25)

Cycles in seizure duration and their underlying dynamics in the tetanus toxin rat model

Cortical stability and chaos during focal seizures: insights from inference-based modeling

Epileptic seizure detection using heart rate variability from ambulatory ECG: a pseudoprospective study

Evaluating the accuracy of monitoring seizure cycles with seizure diaries.

Towards a closed loop retinal prosthesis: measuring electrically evoked retinal responses using large electrodes

Sub-scalp EEG for sensorimotor brain–computer interface

Leveraging Channel Coherence in Long-Term iEEG Data for Seizure Prediction

Decoding cortical responses from visual input using an endovascular brain–computer interface

POC-CSP: a novel parameterised and orthogonally-constrained neural network layer for learning common spatial patterns (CSP) in EEG signals

Feasibility of source-level motor imagery classification for people with multiple sclerosis

User experience of a seizure risk forecasting app: A mixed methods investigation

Endovascular stimulation of the pudendal nerve using a stent-mounted electrode array

Neural activity shaping in visual prostheses with deep learning

Feasibility of endovascular stimulation of the femoral nerve using a stent-mounted electrode array

Multi-frequency steady-state visual evoked potential dataset

A debate on the neuronal origin of focal seizures

Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration

Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column

Linear Diophantine equation (LDE) decoder: A training‐free decoding algorithm for multifrequency SSVEP with reduced computation cost

Continuous synthesis of artificial speech sounds from human cortical surface recordings during silent speech production

Brain model state space reconstruction using an LSTM neural network

Prognostic interictal electroencephalographic biomarkers and models to assess antiseizure medication efficacy for clinical practice: A scoping review

Auditory nerve responses to combined optogenetic and electrical stimulation in chronically deaf mice

Evaluation of Optimal Stimuli for SSVEP-Based Augmented Reality Brain-Computer Interfaces

Impact of axonal delay on structure development in a multi-layered network

Collaborators (14)

Jodie Naim-Feil

Mark J. Cook

Andre Peterson

Alex Thompson

Levin Kuhlmann

Gilles Huberfeld

CATHERINE DAVEY

MARTIN SPENCER

Andrew Trevelyan

Ying Tan

Logan Schneider

MOHIT SHIVDASANI

June Sic Kim

Chun Kee Chung

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