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Dynamic re-weighting of multisensory cues

The Bayesian Maximum Likelihood model provides a good description of how sensory information is combined. This project will use a new continuous-measurement technique to measure sen more...

Supervisor(s): Alais, David (Professor)

Develop single-cell mechanobiological methods for discovering molecular mechanisms of cardiovascular and neuronal mechanical force sensing

We are developing cutting-edge technologies for the following biomedical application: 1) define the mechanosensing functions of key protein players in the cardiovascular system such more...

Supervisor(s): Ju, Lining (Arnold) (Dr)

Visual Communication in Space and Time

Colour in nature is a central channel of communication, though its study has progressed without consideration of the inherent fluidity of information exchange.  This project se more...

Supervisor(s): White, Thomas (Dr)

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)

Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

Cross-adaptation of visual and auditory motion and psychophysical receptive fields for multisensory motion

This project will build on recent work in our lab using a genetic algorithm (GA) to determine spatiotemporal receptive fields for translating visual motion. Pilot work shows the the more...

Supervisor(s): Alais, David (Professor)

Integration of visual and tactile information

Touch and vision often work together in our perception of objects around us. This project will examine orientation and spatial frequency tuning in touch and vision and study how the more...

Supervisor(s): Alais, David (Professor)

Visual speed perception during active and passive self-motion

This project will study how rotation of an observer affects factors such as speed perception and allocation of attention. It will compare passive rotation on a motion platform with more...

Supervisor(s): Alais, David (Professor)

Modulation of attention and perception during action

The project examines how active motion of an observer modulates perception. The project will study walking observers, and continuously measure their visual performance to examine ho more...

Supervisor(s): Alais, David (Professor)