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Photo of Dr James Rankin

Dr James Rankin

Senior Lecturer

Email:

Telephone: 01392 724673 or 01392 725359

Extension: (Streatham) 4673 or (Streatham) 5359

Office: Harrison 018 & Hope Hall 1.11. Always use extension 4673

I am a Lecturer in Mathematical Biology at the University of Exeter doing research in mathematical and computational neuroscience. My research interests include dynamical systems, bifurcation theory, modelling of sensory cortex (auditory and visual), perceptual bistability and experiments in auditory perception (psychoacoustics).

Recent publications (2019-2020)

Ferrario A, Rankin J. (2020) Auditory streaming emerges from fast excitation and slow delayed inhibition,
arxiv preprint

Darki F, Rankin J. (2020) Perceptual rivalry with vibrotactile stimuli,
biorxiv preprint

Darki F, Rankin J. (2020) Methods to assess binocular rivalry with periodic stimuli,
The Journal of Mathematical Neuroscience github

Rankin J, Rinzel J. (2019) Computational models of auditory perception from feature extraction to stream segregation and behavior,
Current Opinion in Neurobiology

Byrne A, Rinzel J, Rankin J. (2019) Auditory streaming and bistability paradigm extended to a dynamic environment,
Hearing Research github

Galvis D, Walsh D, Harries L, Latorre E, Rankin J. (2019) A dynamical systems model for the measurement of cellular senescence,
Journal of The Royal Society Interface github

Perez A, Ashwin P, Huguet G, Seara TM, Rankin J. (2019) The uncoupling limit of identical Hopf bifurcations with an application to perceptual bistability,
The Journal of Mathematical Neuroscience

Rankin J, Rinzel J. (2019) Computational Models of Auditory Stream Segregation,
Encyclopedia of Computational Neuroscience

Software and experimental data
Simulation code and experimental data for the Neuromechanistic Model of Auditory Streaming presented in three papers (2015, 2017, 2019) is available at the following github repository.

Simulation code and experimental data for the Dynamical Systems Model of Cellular Senescence (2019) is available at the following github repository.

Simulation code for the Neural Field Model of Orientation Selectivity in V1 (2017) is available at the following github repository.

Current grants
Neural oscillator network modelling of auditory stream segregation,
EPSRC New Investigator Award, EP/R03124X/1 £174K Oct 2018 - Mar 2021

Postdoc
Dr Andrea Ferrario working on EPSRC-funded project "Neural oscillator network modelling of auditory stream segregation"

PGR students
Farzaneh Darki, PhD student working on "Neural dynamics of perceptual competition" co-supervised with Pete Ashwin
Curtis Alcock, Masters by Research student working on "Can Shannon Entropy be used to measure mishearing and isolate the impact of reduced audibility from the underlying hearing loss?" co-supervised with Marc Goodfellow

Clinical secondee
Yusur Al-Nuaimi  working on "Connectivity within human skin: predictive modelling of hair loss patterns in Primary Cicatricial Alopecia"

Project students
Thomas Lowe working on "A computational study of frequency-learning in neural oscillators - neural populations" co-supervised with Dr Andrea Ferrario
Sam Renton working on "A computational study of frequency-learning in neural oscillators - single neurons and STDP" co-supervised with Dr Andrea Ferrario

Previous project students
Jakub Onysk worked on "Auditory Streaming with Noise-Band Sounds" (summer 2018) and on "Adaptation in Neural Decoding of Bistable Sounds from MEG Data" (summer 2019)
Andrew Cox worked on "Computational modelling of neural populations encoding visual motion" (2018-2019 academic year)
Jo Fisher working on "Dynamical systems modelling of hair growth in health and disease" (2018-2019 academic year) co-supervised with Marc Goodfellow and Yusur Al-Nuaimi