The neural dynamics of real-time processing in the brain. The aim of this project is to investigate a new model for predictive coding of sensory processing in the brain in which the brain compensates for the time delays in neural transmission by maintaining a real-time temporal alignment of the neural activity. This results in a representation of sensory information that is aligned in time across the cortex, offering a new fundamental principle for how the brain functions in a highly dynamic wor ....The neural dynamics of real-time processing in the brain. The aim of this project is to investigate a new model for predictive coding of sensory processing in the brain in which the brain compensates for the time delays in neural transmission by maintaining a real-time temporal alignment of the neural activity. This results in a representation of sensory information that is aligned in time across the cortex, offering a new fundamental principle for how the brain functions in a highly dynamic world whose outcomes would provide a deeper understanding of brain function. It could also have profound significance for artificial intelligence and brain-inspired technologies, as well as benefit neural sensory prostheses and brain-machine interfaces.Read moreRead less
The encoding of friction by tactile mechanoreceptors - the key to fingertip force control during dexterous object manipulation by humans. Unmatched human ability to control the hand so that brittle objects are gently held without slipping, or being crushed by excessive force rely on sophisticated tactile sense in the fingertips. This project will record and analyse signals which human nerves are sending from fingertip receptors to the brain centres controlling hand actions.
Sensory mechanisms underlying human dexterity in object manipulation. This project aims to understand the sensory mechanisms and biomechanics underlying sensory encoding. Tactile sensory information is crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. This project will record signals from single human tactile receptors using microneurography. By modelling the neural data with skin biomechanical events, this project aims t ....Sensory mechanisms underlying human dexterity in object manipulation. This project aims to understand the sensory mechanisms and biomechanics underlying sensory encoding. Tactile sensory information is crucial for controlling grip forces so that delicate objects are held without slipping, or being crushed by excessive force. This project will record signals from single human tactile receptors using microneurography. By modelling the neural data with skin biomechanical events, this project aims to reveal sensory mechanisms underlying the human ability to manipulate objects and use tools. This research could lead to next generation sensory-controlled prosthetics and robotic manipulators.Read moreRead less
Real-time friction sensing, feedback and control for dexterous prosthetic and robotic manipulation. Prosthetic and robotic hands demonstrate poor dexterity during object manipulation, often dropping objects. Humans rarely allow objects to slip because we can sense when an object is slippery and adjust our grip. Exceptionally little research has been directed at replicating this ability to sense friction. This project aims to enable artificial hands to estimate frictional properties while graspin ....Real-time friction sensing, feedback and control for dexterous prosthetic and robotic manipulation. Prosthetic and robotic hands demonstrate poor dexterity during object manipulation, often dropping objects. Humans rarely allow objects to slip because we can sense when an object is slippery and adjust our grip. Exceptionally little research has been directed at replicating this ability to sense friction. This project aims to enable artificial hands to estimate frictional properties while grasping an object. Non-invasive methods to feed back this frictional information to an amputee will also be investigated. Finally, the friction-sensing system will be used to improve robotic gripper control. The outcomes of this research will significantly advance the fields of prosthetics, telesurgery, and service and manufacturing robotics.Read moreRead less
Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in ha ....Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in hand motion. Expected outcomes include new evidence of mirror neurons and observation of predictive error signals in the motor cortex. This new knowledge paves the way towards improved computer-brain interface technology which is likely to create benefits through translation to applications such as artificial limb control.Read moreRead less
The structure and function of the human spinal connectome. This project will use complex network analysis to map the interactions between the brain and body, to understand how the central nervous system controls our movements. The project will provide fundamental insights into mechanisms that coordinate activity in the human motor system, and how the breakdown of coordination may lead to movement disorders. By integrating advanced computational analyses with state-of-the-art recording techniques ....The structure and function of the human spinal connectome. This project will use complex network analysis to map the interactions between the brain and body, to understand how the central nervous system controls our movements. The project will provide fundamental insights into mechanisms that coordinate activity in the human motor system, and how the breakdown of coordination may lead to movement disorders. By integrating advanced computational analyses with state-of-the-art recording techniques, the project will generate new knowledge of the neural basis of human motor coordination. Expected outcomes may support future applications to restore motor function through brain stimulation, prosthetics and robotics design.Read moreRead less
Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outc ....Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outcome is a new understanding of how different speakers' vocal tracts change and how speech is reshaped, informed by real physiological data. Significant benefits will be realised through refined methods and theory development for diverse fields e.g. linguistics, speech science, and automatic speech recognition/synthesis. Read moreRead less
Learning control and computational models of human motor systems. With the aim of understanding how humans learn their body movements, this project addresses fundamental cross-disciplinary issues of learning control, robotics and computational models of human motor systems. The results will lead to improvements in smart industrial automation and the development of more effective rehabilitation stategies.
From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden ....From insects to robots: how brains make predictions and ignore distractions. This project aims to address fundamental questions in neuroscience and to integrate this biological understanding with the development of leading-edge robotics. Whether a human catching a ball or a dragonfly feeding in a swarm, brains have the remarkable ability to predict the future location of moving targets. The brain predicts in the presence of distractions and even if the target disappears, for example, when hidden behind another object. This project will investigate how brains use both environmental and internal information to select a target and predict its future location. By implementing bio-inspired computations in hardware, this project aims to provide significant benefits such as improving autonomous systems for defence, health and transportation.Read moreRead less
Plant based foods: Towards sustainable and acceptable meat analogues. The project aims to address the need for engineering plant-based food products to deliver a sensory experience akin to meat. The project expects to generate new knowledge on the structural drivers for emulating meat-like texture and taste within burger products. Expected outcomes of this project include new ingredients and food characterisation methodologies, including rheology and sensory, which can be employed in rational ....Plant based foods: Towards sustainable and acceptable meat analogues. The project aims to address the need for engineering plant-based food products to deliver a sensory experience akin to meat. The project expects to generate new knowledge on the structural drivers for emulating meat-like texture and taste within burger products. Expected outcomes of this project include new ingredients and food characterisation methodologies, including rheology and sensory, which can be employed in rational food structure design. This should provide significant benefits in enhancing the consumer acceptance of plant-based foods that is required to support the rapidly growing market opportunity for them and sustainable food production.Read moreRead less