Professor David Grayden

  • Room: Level: 01 Room: 105
  • Building: 203 Bouverie St
  • 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

http://people.eng.unimelb.edu.au/grayden/

Biography

Professor David B. Grayden is Head of the Department of Biomedical Engineering, Melbourne School of Engineering.

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 BioDesign Innovation and contributes to the Neuroscience Research Training course modules.

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

Recent publications

  1. Spencer M, Kameneva T, Grayden D, Meffin H, Burkitt A. Global activity shaping strategies for a retinal implant. JOURNAL OF NEURAL ENGINEERING. Institute of Physics Publishing. 2019, Vol. 16, Issue 2. DOI: 10.1088/1741-2552/aaf071
  2. John S, Apollo N, Opie N, Rind G, Ronayne S, May C, Oxley T, Grayden D. In Vivo Impedance Characterization of Cortical Recording Electrodes Shows Dependence on Electrode Location and Size. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. IEEE - Institute of Electrical and Electronic Engineers. 2019, Vol. 66, Issue 3. DOI: 10.1109/TBME.2018.2854623
  3. Barutchu A, Toohey S, Shivdasani M, Fifer JM, Crewther S, Grayden D, Paolini A. Multisensory perception and attention in school-age children. JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY. Academic Press. 2019, Vol. 180. DOI: 10.1016/j.jecp.2018.11.021
  4. 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
  5. 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
  6. 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. JOURNAL OF NEUROSURGERY. American Association of Neurological Surgeons. 2018, Vol. 128, Issue 4. DOI: 10.3171/2016.11.JNS161754
  7. Ahmadizadeh S, Karoly P, Nesic D, Grayden D, Cook M, 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
  8. Esler T, Maturana M, Kerr R, Grayden D, Burkitt A, Meffin H. Biophysical basis of the linear electrical receptive fields of retinal ganglion cells. JOURNAL OF NEURAL ENGINEERING. Institute of Physics Publishing. 2018, Vol. 15, Issue 5. DOI: 10.1088/1741-2552/aacbaa
  9. Kameneva T, Meffin H, Burkitt A, Grayden D. Bistability in Hodgkin-Huxley-type equations. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Institute of Electrical and Electronics Engineers. 2018, Vol. 2018-July. DOI: 10.1109/EMBC.2018.8513233
  10. Karoly P, Goldenholz DM, Freestone D, Moss RE, Grayden D, Theodore WH, Cook M. Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study. LANCET NEUROLOGY. The Lancet Publishing Group. 2018, Vol. 17, Issue 11. DOI: 10.1016/S1474-4422(18)30274-6
  11. Spencer M, Meffin H, Burkitt A, Grayden D. Compensation for Traveling Wave Delay Through Selection of Dendritic Delays Using Spike-Timing-Dependent Plasticity in a Model of the Auditory Brainstem. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. Frontiers Research Foundation. 2018, Vol. 12. DOI: 10.3389/fncom.2018.00036
  12. 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
  13. Maturana M, Apollo N, Garrett D, 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
  14. Kuhlmann L, Karoly P, Freestone D, Brinkmann BH, Temko A, Barachant A, Li F, Titericz G, Lang BW, Lavery D, Roman K, Broadhead D, Dobson S, Jones G, Tang Q, Ivanenko I, Panichev O, Proix T, Nahlik M, Grunberg DB, Reuben C, Worrell G, Litt B, Liley D, Grayden D, Cook M. Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG. BRAIN. Oxford University Press. 2018, Vol. 141, Issue 9. DOI: 10.1093/brain/awy210
  15. 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

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