Monash Biomedical Imaging and
BSc, Monash University
BE (Hons), Monash University
Tel: +61 3 9902 4353
Fax: +61 3 9902 9817
- Computational neuroscience
- Network and graph analysis
- High performance computing
- Image and signal processing
Michael Eager is completing a PhD at the University of Melbourne, whilst working part time in the Monash Biomedical Imaging Centre's Image Analysis Group. His thesis investigates the stellate microcircuit of the cochlear nucleus, an important network for processing speech sounds in the auditory pathway.
His PhD work involves:
- modelling large biophysically-based neural network models
- optimisation and comparison with various sources of experimental data
- analysing the effects of stochasticity in neural networks.
Michael has also been involved in high-performance computing projects at the Centre for Neural Engineering (University of Melbourne) and at IBM's Collaboratory for Life Sciences in Parkville. These projects include large-scale spiking neural networks and graph analysis of connectivity in high-resolution fMRI data.
At Monash Biomedical Imaging, Michael will be combining his interest in high-performance computing and physiology to work on the ANDS multi-modal kidney image analysis project.
- M. A. Eager, D. B. Grayden, A. N. Burkitt, and H. Meffin. A neural circuit model of the ventral cochlear nucleus. In Tenth Australian Int Conference on Speech Science and Technology, SST-2004, pages 539-44, Sydney, Australia, 2004.
- M. A. Eager, D. B. Grayden, H. Meffin, and A. N. Burkitt. Constraining neural microcircuits with surrogate physiological data and genetic algorithms. BMC Neuroscience, 8(Suppl 2):P16, 2007. ISSN 1471-2202. doi: 10.1186/1471- 2202-8-S2-P16.
- M. A. Eager, D. B. Grayden, H. Meffin, and A. N. Burkitt. Amplitude modu- lation in the stellate microcircuit of the cochlear nucleus. In Intelligent Sen- sors, Sensor Networks and Information Processing (ISSNIP), 2011 Seventh International Conference on, pages 149-154, dec. 2011. doi: 10.1109/ISS- NIP.2011.6146619.