MNN, An EPSRC funded Mathematics Network
MNN, An EPSRC funded Mathematics Network

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MNN Members

Click on a member to see contact information and interests.
To search the research interests of the MNN members please use the form at the bottom of this page.

Name Institution Interests
Tahir Ahmad Ibnu Sina Institute for Fundamental Science Studies, Johor, Malaysia
  • Fuzzy modelling; epileptic foci
Costas A Anastassiou CalTech
  • Computational neuroscience, local field potentials (origin and functionality), electric entrainment
Peter Ashwin Exeter, Mathematics
  • Nonlinear dynamics, coupled oscillators
Wyeth Bair Oxford, Physiology
  • Computational modelling, electrophysiology, neural coding, vision
Stuart Baker Newcastle, Newcastle
  • Motor control
Mauricio Barahona Imperial, Bioengineering
  • Nonlinear dynamics, synchronisation, signal processing
Lisa Beeren UCL, Physiology
  • Whole-cell patch clamping, precise spike timing
Luc Berthouze Informatics Department, University of Sussex
  • Motor control, development, oscillations, coherence
Rafal Bogacz Bristol, Computer Science
  • Computational neuroscience, decision making
Roman Borisyuk Plymouth, Neuroscience
  • Computational neuroscience
Chris Brackley Warwick, Physics
  • Neural fields
Paul Bressloff Oxford Centre for Collaborative Applied Mathematics
  • Mathematical Neuroscience, Biophysics, Differential Equations, Stochastic Processes, Dynamical Systems
David Broomhead Manchester, Mathematics
  • Dynamical systems, mathematical biology
Neil Burgess UCL, Cognitive Neuroscience
  • Computational modelling and electrophysiological analysis of the hippocampus
Jack Carr Heriot-Watt, Mathematics
  • Differential equations, dynamical systems
David Chik Plymouth, Neuroscience
  • Computational neuroscience
Netta Cohen Leeds, Computing
  • Complex systems, neuronal control of locomotion
Stephen Coombes Nottingham, Mathematical Sciences
  • Mathematical neuroscience, Cellular calcium signalling
Emma Coutts Heriot-Watt, Mathematics
  • Stochastic neural modelling, dendritic computation
Vincenzo Crunelli Cardiff, Neuroscience
  • Thalamo-Cortical oscillations
Hermann Cuntz UCL, Physiology
  • Optimization principles of dendritic structure
Jonathan H P Dawes Cambridge, Mathematics
  • Nonlinear dynamics, bifurcations with symmetry, continuum and discrete pattern formation
Peter Dayan UCL, Gatsby Computational Neuroscience Unit
  • Mathematical and computational models of neural processing
Oliver Dewhirst Southampton, Sound and Vibration
  • Biomedical signal processing, non-Linear modelling of physiological systems
Piotr Dudek Manchester, Electrical and Electronic Engineering
  • Brain-inspired VLSI circuits
Stephen J Eglen Cambridge, Computational Biology
  • Retinal development
Jianfeng Feng Warwick, Computer Science
  • Computational biology, stochastic and nonlinear dynamics
Ana-Maria Gheorghe Nottingham, Mathematics
  • Mathematical Neuroscience
Stephen Gin Warwick, Mathematics Institute
  • Mathematical neuroscience
Bruce P Graham Stirling, Computing Science and Mathematics
  • Computational neuroscience
Ruben Guerrero Leicester, Neuroengineering
  • Neuroengineering
Kevin Gurney Sheffield, Adaptive Bahaviour Research Group
  • Computational Neuroscience
David Halliday York, Department of Electronics
  • Neural signal processing; computational neuroscience
J. Michael Herrmann Edinburgh, Institute for Perception, Action and Behaviour
  • self-organising criticality, neural fields, self-organizing maps, movement control, autonomous robots, dynamical systems, cognitive psychology
Stuart Hughes Cardiff, Biosciences
  • Thalamo-cortical oscillations
Mark Humphries Sheffield, Adaptive Behaviour Group
  • Basal ganglia
Benjamin Judkewitz UCL, Physiology
  • Dendritic processing
Marcus Kaiser Newcastle, Computing
  • Complex networks
Azadeh Khajeh-Alijani Warwick, Mathematics Institute
  • Dynamical systems
Markus Kirkilionis Warwick, Mathematics
  • Mathematical biology, dynamic network models, complex systems, numerical analysis, pattern formation, dynamical systems
Jonathan Laudanski Nottingham, Mathematics
  • Computational auditory neuroscience
Zhaoping Li UCL, Computer Science
  • Computational neuroscience, vision, neural dynamics
Gabriel Lord Heriot-Watt, Mathematics
  • Numerical analysis, stochastic neural modelling
Robert Mackay Warwick, Mathematics
  • Dynamical Systems, Variational Problems, Hamiltonian Dynamics, Renormalisation of dynamical systems; Applications to Physics, Engineering, Chemistry, Biology, Economics...
Charles Marsden Nottingham, Biomedical Sciences
  • Functional identification of neurotransmitter receptors, psychiatric disorders, psychopharmacology
Juan Martinez-Gomez Leicester, Neuroengineering
  • Neuroengineering
Paul Matthews Nottingham, Mathematical Sciences
  • Dynamical sytems, pattern formation, neural fields
Marcelo Montemurro Manchester, Life Sciences
  • Local field potentials
Mike Oram St. Andrews, Psychology
  • Primate visual information processing
Gabor Orosz Exeter, Mathematics
  • Dynamics and control of coupled oscillator networks
Markus Owen Nottingham, Mathematical Sciences
  • Mathematical neuroscience, Waves and pattern formation in discrete and continuous media
Stefano Panzeri Manchester, Life Sciences
  • Information theory, neural coding
Carlos Pedreira Leicester, Neuroengineering
  • Neuroengineering
Rasmus Petersen Manchester, Life Sciences
  • Coding tactile information in the central nervous sytem
Nikola Popovic Edinburgh, Mathematics
  • Dynamical systems
Rodrigo Quian Quiroga Leicester, Neuroengineering
  • Neuroengineering
Magnus Richardson Warwick, Systems Biology
  • Computational neuroscience, synaptic plasticity, neural spiking
Alan Roberts Bristol, Biological Sciences
  • cns control of behaviour; swimming and struggling in the Xenopus tadpole
Hugh Robinson Cambridge, Physiology, Development and Neuroscience
  • synaptic integration in mammalian cortical neurons, dynamic clamp
Arnd Roth UCL, Physiology
  • dendritic modelling
Alastair M Rucklidge Leeds, Department of Applied Mathematics
  • Pattern formation, Nonlinear dynamics
Noah Russell Nottingham, Biophysics
  • Information processing, neural computation, imaging technologies.
Kurt Saetzler Ulster, Biomedical Sciences
  • Computational biology
Björn Sandstede Surrey, Department of Mathematics
  • Dynamical systems, nonlinear waves and patterns, ODEs and PDEs
Simon Schultz Imperial, Bioengineering
  • Sensory information processing in the mammalian cortical circuit
Anil K Seth Sussex, Department of Informatics
  • Theoretical Neuroscience, Cognitive Science, Artificial Life, Consciousness, Neurorobotics, Adaptive Behavior
David Simpson Southampton, Sound and Vibration
  • Biomedical signal processing, auditory evoked potentials
Nigel G Stocks Warwick, Engineering
  • Noise in nonlinear systems with applications to neurophysiology and signal processing
Jim Stone Sheffield, Psychology
  • Vision, perceptual priors, free-lunch learning, ICA
Ioannis Taxidis Nottingham, Mathematical Sciences
  • Computational neuroscience, partial directed coherence
John R Terry Bristol, Engineering Mathematics
  • Dynamical systems,mathematical models of EEG
Rüdiger Thul Nottingham, Mathematical Sciences
  • Calcium dynamics
Yulia Timofeeva Warwick, Computer Science
  • Mathematical neuroscience, Cellular calcium signalling
Krasimira Tsaneva-Atanasova Bristol, Engineering Mathematics
  • Dynamical systems, mathematical neuroscience, bursting behaviour
Mark van Rossum Edinburgh, Informatics
  • Computational neuroscience, synaptic plasticity
Thomas Wennekers Plymouth, Neuroscience
  • Computational neuroscience, spatio-temporal receptive fields
Stephen Williams Cambridge, Neuroscience
  • Cellular and Molecular Neuroscience
David Willshaw Edinburgh, Informatics
  • Computational neurobiology
Si Wu Sussex, Informatics
  • Computational Neuroscience and Machine Learning
Margarita Zachariou Nottingham, Mathematics
  • Mathematical Neuroscience

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