The secret of tiny hand movements to feel and manipulate objects. This study aims to reveal some of the fundamental sensory mechanisms underlying the uniquely human ability to manipulate objects and use tools. Signals from touch receptors are crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. Yet we know little about how such sensory information is obtained and how it is used for the motor control. By analysing hand moveme ....The secret of tiny hand movements to feel and manipulate objects. This study aims to reveal some of the fundamental sensory mechanisms underlying the uniquely human ability to manipulate objects and use tools. Signals from touch receptors are crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. Yet we know little about how such sensory information is obtained and how it is used for the motor control. By analysing hand movements during object manipulation and recording sensory signals from single human nerve fibres we will investigate how certain types of movement shape richness of available sensory information. This knowledge will facilitate the development of next generation sensory-controlled prosthetics and robotic manipulators.Read moreRead less
Comparative analysis of sensor noise for target detection in dragonfly eyes. Dragonflies hunt tiny prey in the low-light conditions of late dusk, a signal-to-noise problem that challenges any engineered system. Using a comparative approach across dragonfly species, we aim to use novel optical and physiological measures to determine how sensors with noise underlie target-detection, in varying scene brightness. The project outcomes will be a comparative characterisation of signal-to-noise measures ....Comparative analysis of sensor noise for target detection in dragonfly eyes. Dragonflies hunt tiny prey in the low-light conditions of late dusk, a signal-to-noise problem that challenges any engineered system. Using a comparative approach across dragonfly species, we aim to use novel optical and physiological measures to determine how sensors with noise underlie target-detection, in varying scene brightness. The project outcomes will be a comparative characterisation of signal-to-noise measures of dragonfly eye optics (including eye size) and early sensory neurons. We will match detection thresholds with downstream target-detecting neurons and dragonfly behaviour. This will provide insight into signal detection, which is a ubiquitous problem across information processing, computer vision and autonomous systems.Read moreRead less