Professor David Grayden

  • Room: Level: 02 Room: 229
  • Building: Electrical and Electronic Engineering
  • Campus: Parkville

Research interests

  • Bionic Ear (Speech processing, bionics, neuroengineering)
  • Bionic Eye (Vision processing, bionics, neuroengineering)
  • Brain-Machine Interfaces (Brain-computer interfaces, bionics, neuroengineering)
  • Computational Neuroscience (Neural modelling, neural learning, neural dynamics, neuroengineering)
  • Epilepsy (Prediction of seizures, seizure control, neuroengineering)

Personal webpage


Professor David Grayden is Head of the Department of Biomedical Engineering, Melbourne School of Engineering and Leader of the Bionics Laboratory in the Centre for Neural Engineering, The University of Melbourne.

Prof Grayden's main research interests are in understanding how the brain processes information, how best to present information to the brain using medical bionics, such as the bionic ear and bionic eye, and how to record information from the brain, such as for brain-machine interfaces. He is also conducting research in epileptic seizure prediction and electrical stimulation to prevent or stop epileptic seizures, and in electrical stimulation of the vagus nerve to control inflammatory bowel disease. He has research linkages with the Bionics Institute, St Vincent's Hospital Melbourne, Royal Melbourne Hospital, University of South Australia, Florey Institute for Neuroscience and Mental Health, and University of Maryland, USA.

Prof Grayden teaches in the Bioengineering and Biomedical Engineering programs.  He teaches in the subjects: BioDesign Innovation, Biosystems Design, and Biomedical Engineering Design Project.  He also contributes to the Neuroscience Research Training course modules.

Research interests:
Computational Neuroscience
Audition, Speech and Bionic Ear Design
Vision and Bionic Eye Design
Brain-Machine Interfaces

Recent publications

  1. Yoo P, John S, Farquharson S, Cleary J, Wong YT, Ng A, Mulcahy C, Grayden D, Ordidge R, Opie N, O'Brien T, Oxley T, Moffat B. 7T-fMRI: Faster temporal resolution yields optimal BOLD sensitivity for functional network imaging specifically at high spatial resolution. NEUROIMAGE. Academic Press. 2018, Vol. 164. DOI: 10.1016/j.neuroimage.2017.03.002
  2. Zarei Eskikand P, Kameneva T, Ibbotson M, Burkitt A, Grayden D. A biologically-based computational model of visual cortex that overcomes the X-junction illusion. Neural Networks. Pergamon Press. 2018, Vol. 102. DOI: 10.1016/j.neunet.2018.02.008
  3. Oxley T, Opie N, Rind G, Liyanage K, John S, Ronayne S, McDonald A, Dornom A, Lovell T, Mitchell P, Bennett I, Bauquier S, Warne L, Steward C, Grayden D, Desmond P, Davis S, O'Brien T, May C. An ovine model of cerebral catheter venography for implantation of an endovascular neural interface.. J Neurosurg. 2018, Vol. 128, Issue 4. DOI: 10.3171/2016.11.JNS161754
  4. Ahmadizadeh S, Karoly PJ, Nesic D, Grayden D, Cook MJ, Soudry D, Freestone D. Bifurcation analysis of two coupled Jansen-Rit neural mass models. PLoS ONE. Public Library of Science. 2018, Vol. 13, Issue 3. DOI: 10.1371/journal.pone.0192842
  5. Nurse E, John S, Freestone D, Oxley T, Ung H, Berkovic S, O'Brien T, Cook M, Grayden D. Consistency of Long-Term Subdural Electrocorticography in Humans. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. IEEE - Institute of Electrical and Electronic Engineers. 2018, Vol. 65, Issue 2. DOI: 10.1109/TBME.2017.2768442
  6. Maturana M, Apollo NV, Garrett DJ, Kameneva T, Cloherty SL, Grayden D, Burkitt A, Ibbotson M, Meffin H. Electrical receptive fields of retinal ganglion cells: Influence of presynaptic neurons. PLOS COMPUTATIONAL BIOLOGY. Public Library of Science. 2018, Vol. 14, Issue 2. DOI: 10.1371/journal.pcbi.1005997
  7. Kiral-Kornek I, Roy S, Nurse E, Mashford B, Karoly P, Carroll T, Payne D, Saha S, Baldassano S, O'Brien T, Grayden D, Cook M, Freestone D, Harrer S. Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System. EBIOMEDICINE. Elsevier. 2018, Vol. 27. DOI: 10.1016/j.ebiom.2017.11.032
  8. Erfaniansaeedi N, Blamey P, Burkitt A, Grayden D. An integrated model of pitch perception incorporating place and temporal pitch codes with application to cochlear implant research. HEARING RESEARCH. Elsevier Science. 2017, Vol. 344. DOI: 10.1016/j.heares.2016.11.005
  9. Trevis KJ, Tailby C, Grayden D, McLachlan N, Jackson G, Wilson S. Identification of a Neurocognitive Mechanism Underpinning Awareness of Chronic Tinnitus. SCIENTIFIC REPORTS. Nature Publishing Group. 2017, Vol. 7, Issue 1. DOI: 10.1038/s41598-017-15574-4
  10. Gao X, Grayden D, McDonnell MD. Modeling Electrode Place Discrimination in Cochlear Implant Stimulation. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. IEEE - Institute of Electrical and Electronic Engineers. 2017, Vol. 64, Issue 9. DOI: 10.1109/TBME.2016.2634461
  11. Halupka K, Abbott C, Wong YT, Cloherty SL, Grayden D, Burkitt A, Sergeev E, Luu C, Brandli A, Allen P, Meffin H, Shivdasani M. Neural Responses to Multielectrode Stimulation of Healthy and Degenerate Retina. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. Association for Research in Vision and Ophthalmology Inc. 2017, Vol. 58, Issue 9. DOI: 10.1167/iovs.16-21290
  12. Halupka K, Shivdasani M, Cloherty S, Grayden D, Wong Y, Burkitt A, Meffin H. Prediction of cortical responses to simultaneous electrical stimulation of the retina. JOURNAL OF NEURAL ENGINEERING. Institute of Physics Publishing. 2017, Vol. 14, Issue 1. DOI: 10.1088/1741-2560/14/1/016006
  13. O'Sullivan-Greene E, Kuhlmann L, Nurse E, Freestone D, Grayden D, Cook M, Burkitt A, Mareels I. Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS. World Scientific Publishing Co. 2017, Vol. 27, Issue 1. DOI: 10.1142/S0129065716500386
  14. Benovitski YB, Lai A, McGowan C, Burns O, Maxim V, Nayagam D, Millard R, Rathbone GD, Le Chevoir M, Williams R, Grayden D, May C, Murphy M, D'Souza W, Cook M, Williams C. Ring and peg electrodes for minimally-Invasive and long-term sub-scalp EEG recordings. EPILEPSY RESEARCH. Elsevier Science. 2017, Vol. 135. DOI: 10.1016/j.eplepsyres.2017.06.003
  15. Karoly P, Ung H, Grayden D, Kuhlmann L, Leyde K, Cook M, Freestone D. The circadian profile of epilepsy improves seizure forecasting. BRAIN. Oxford University Press. 2017, Vol. 140. DOI: 10.1093/brain/awx173

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile