Dr James Rankin
Lecturer in Mathematical Biology
Neuroscience and Neurology
Skills Development Fellowship Vision
A successful fellow could broaden the scope of their interdisciplinary research by training in the application of mathematical and computational techniques to modelling biological and clinical data. This training would go hand-in-hand with collaboration on a new or existing research topic for the fellow. With guidance from a sponsor, the fellow should approach the topic relatively independently and with a focus on developing new skills to support a fruitful interdisciplinary research career.
I am an applied mathematician by training with a focus in dynamical systems modelling. Two postdoctoral positions at Inria Sophia-Antipolis (France) and New York University focused on mathematical and computational neuroscience. I joined Exeter as a Lecturer in 2016.
Mathematical modelling in neural and biological systems Computational biology and neuroscience Dynamical systems methods (for analysing differential equations) Psychoacoustic experiments (on auditory perception)
- Li H-H, Rankin J, Rinzel J, Carrasco M, Heeger DJ. (2017) Attention model of binocular rivalry, Proc Natl Acad Sci U S A, DOI:10.1073/pnas.1620475114.
- Rankin J, Chavane F. (2017) Neural field model to reconcile structure with function in primary visual cortex, PLOS Computational Biology, (in press) DOI:10.1371/journal.pcbi.1005821.
- Rankin J, Osborn Popp PO, Rinzel J. (2017) Stimulus pauses and perturbations differentially delay or promote the segregation of auditory objects: psychoacoustics and modeling, Frontiers in Neuroscience, DOI:10.3389/fnins.2017.00198.
Ongoing Projects & Grants
- Modelling perceptual dynamics in vision and audition
- The dynamics of perceptual bistability (models and experiments)
- Neural computation and processing in cortex
- Academic: John Rinzel, NYU Frederic Chavane, CNRS Marseilles
- Industrial: Curtis Alcock (Audify UK – local hearing company and clinic)
Research Group Connections