People

Douglas Armstrong

Molecular neuroinformatics, network models, behavioural models

James Bednar

Simulations of the development of the visual cortex

Christopher Bishop

Graphical models, variati

onal methods, pattern recognition

Probabilistic modeling of energy-related systems

Matthias Hennig

Models of neural networks, homeostasis and development; visual and auditory neuroscience; analysis of large-scale electrophysiological
recordings

Iain Murray

Bayesian statistics, approximate inference, Markov chain Monte Carlo, scientific data analysis

Guido Sanguinetti

Probabilistic modeling of biological systems, dynamics of regulatory networks, computational epigenetics, spatiotemporal systems

Peggy Seriès

Bayesian approaches to cognition and perception

Dragan Gasevic

Richard Shillcock

Word recognition and reading; hemispheric interaction; philosophy of cognitive modelling and theory construction; synaesthesia; artificial grammar learning

Ian Simpson

Regulatory genomics, bioinformatics and computational biology. Neural development and function especially in cortical structures and in relation to cognition, learning and memory using genomic, meta-genomic, transcriptomic and proteomic data.

Amos Storkey

Structured machine learning and big data: Bayesian methods, Machine Learning Markets, deep learning, learning temporal systems, neural computation. Applications in image analysis, brain imaging, and medicine.

Charles Sutton

Probabilistic modeling of large-scale computer systems, approximate inference, statistical processing of natural and programming languages

Tom Thorne

Systems biology, graphical models of gene regulatory networks, Bayesian statistics, Bayesian nonparametrics

Mark van Rossum

Computational neuroscience: synaptic plasticity, noise in neural systems, the early visual system, the retina

Chris Williams

Gaussian processes, image interpretation, unsupervised learning, deep learning, time series models

 
David Willshaw

Computational models of development of the nervous system