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 Clifford Chair of Neural Engineering in the Department of Biomedical Engineering, Melbourne School of Engineering and the Graeme Clark Institute for Biomedical 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 IBM Research. 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. Chambers J, Elgueda D, Fritz JB, Shamma SA, Burkitt A, Grayden D. Computational Neural Modeling of Auditory Cortical Receptive Fields. Frontiers in Computational Neuroscience. Frontiers Research Foundation. 2019, Vol. 13. DOI: 10.3389/fncom.2019.00028
  2. Forsyth I, Dunston M, Lombardi G, Rind G, Ronayne S, Wong Y, May CN, Grayden D, Oxley T, Opie N, John S. Evaluation of a minimally invasive endovascular neural interface for decoding motor activity. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE. 2019, Vol. 2019-March. DOI: 10.1109/NER.2019.8717000
  3. Spencer M, Kameneva T, Grayden D, Meffin H, Burkitt A. Global activity shaping strategies for a retinal implant. Journal of Neural Engineering. IOP Publishing. 2019, Vol. 16, Issue 2. DOI: 10.1088/1741-2552/aaf071
  4. Amirhossein J, Freestone DR, Nesic D, Grayden D. Identification of a Neural Mass Model of Burst Suppression. International Engineering in Medicine and Biology Conference. IEEE. 2019.
  5. 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
  6. 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
  7. Opie N, John S, Gerboni G, Rind G, Lovell T, Ronayne S, Wong Y, May C, Grayden D, Oxley T. Neural Stimulation with an Endovascular Brain-Machine Interface. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE. 2019, Vol. 2019-March. DOI: 10.1109/NER.2019.8717066
  8. Zarei Eskikand P, Kameneva T, Burkitt A, Grayden D, Ibbotson M. Pattern Motion Processing by MT Neurons. Frontiers in Neural Circuits. Frontiers Research Foundation. 2019, Vol. 13. DOI: 10.3389/fncir.2019.00043
  9. Jafarian A, Freestone DR, Nesic D, Grayden D. Slow-Fast Duffing Neural Mass Model. International Engineering in Medicine and Biology Conference. IEEE. 2019.
  10. Mu J, Grayden D, Tan Y, Oetomo D. Spatial Resolution of Visual Stimuli in SSVEP-based Brain-Computer Interface. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE. 2019, Vol. 2019-March. DOI: 10.1109/NER.2019.8717155
  11. John S, Grayden D, Yanagisawa T. The future potential of the Stentrode.. Expert Rev Med Devices. Expert Reviews Ltd. 2019. DOI: 10.1080/17434440.2019.1674139
  12. Lian Y, Grayden D, Kameneva T, Meffin H, Burkitt A. Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding. Frontiers in Neural Circuits. Frontiers Research Foundation. 2019, Vol. 13. DOI: 10.3389/fncir.2019.00013
  13. 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
  14. 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
  15. 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

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