Research interests

  • Epileptic Seizure Prediction (Epilepsy)
  • Information processing in the auditory cortex and the convergence of bottom-up information and top-down attention (Auditory speech processing)
  • Mathematical and computational modelling of neural networks (Computational Neuroscience)


Dr Jordan Chambers joined the Epileptic seizure prediction stream of the ARC Training Centre as a Research Fellow in May 2019. His research has focused on understanding the behaviour of neural networks by combining mathematical and computational modelling with electrophysiological data. Dr Jordan Chambers was awarded his PhD from the Department of Physiology, University of Melbourne in 2012. Since then, he has held post-doctoral positions at The Howard Florey Institute and the University of Melbourne. At The Howard Florey Institute, he investigated the effect synaptic strengths have on the behaviour of a cortical column to produce epileptic seizures. In the Department of Physiology, University of Melbourne, he developed a detailed conductance based single neuron model of sensory neurons in the small intestine to predict hyper-excitable states associated with inflammation of the intestine. As a research fellow in the Department of Biomedical Engineering, University of Melbourne, he developed a model of the auditory system to investigate mechanisms utilised by the auditory cortex to process sound signals in a noisy environment.

Recent publications

  1. Chambers, JD.; Elgueda, D.; Fritz, JB.; Shamma, SA.; Burkitt, AN.; Grayden, DB. Computational Neural Modeling of Auditory Cortical Receptive Fields. Frontiers in Computational Neuroscience. Frontiers Media. 2019, Vol. 13. DOI: 10.3389/fncom.2019.00028
  2. Chambers, JD.; Burkitt, AN.; Grayden, DB. Computational neural modelling of auditory cortical receptive fields.. BMC Neuroscience. Springer Nature. 2015, Vol. 16, Issue Suppl 1, pp. P85-P85. DOI: 10.1186/1471-2202-16-S1-P85
  3. Ellis, M.; Chambers, JD.; Gwynne, RM.; Bornstein, JC. Serotonin and cholecystokinin mediate nutrient-induced segmentation in guinea pig small intestine. American Journal of Physiology - Gastrointestinal and Liver Physiology. AMER PHYSIOLOGICAL SOC. 2013, Vol. 304, Issue 8, pp. G749-G761. DOI: 10.1152/ajpgi.00358.2012
  4. Chambers, JD.; Bethwaite, B.; Diamond, NT.; Peachey, T.; Abramson, D.; Petrou, S.; Thomas, EA. Parametric computation predicts a multiplicative interaction between synaptic strength parameters that control gamma oscillations. Frontiers in Computational Neuroscience. FRONTIERS RESEARCH FOUNDATION. 2012, Vol. 6, Issue JUL. DOI: 10.3389/fncom.2012.00053
  5. Chambers, JD.; Bornstein, JC.; Sjovall, H.; Thomas, EA. Recurrent networks of submucous neurons controlling intestinal secretion: a modeling study. American Journal of Physiology - Gastrointestinal and Liver Physiology. AMER PHYSIOLOGICAL SOC. 2005, Vol. 288, Issue 5, pp. G887-G896. DOI: 10.1152/ajpgi.00491.2004