Predictive coding of tactile information
Develop the predictive coding framework of tactile sensory information processing. An abstract model will first be developed by ESR7 at ICL, considering properties of typical tactile afferents during interaction with simple objects. Critically, proprioceptive sensory information from motion and contact force will be integrated in this modelling. This framework will then be applied first on data from experiments developed in research theme 1 and on data from previous experiments between ACA and ULUND, together with ESR3. This framework will further be applied to acquire stale representations of the membrane created in research theme 13.
Predictive coding modelling of haptic sensing integrating tactile and proprioceptive information.
ACA: to learn about properties of typical tactile afferents
UOS: to understand the interplay between tactile data and sensory augmentation
ULUND: to collaborate on neural recording data
Host institution: Imperial College London
Enrolments (in Doctoral degree): Imperial Collage London
Etienne Burdet, Vincent Hayward
Link to application will come shortly