We are now entering a tremendously exciting phase in our quest to understand the human brain. With large-scale programmes like the US BRAIN Initiative and the EU Human Brain Project, there is currently a huge appetite for new neurotechnologies and applications. We have already witnessed the impact made by devices such as cochlear implants and deep brain stimulators, with hundreds of thousands of individuals that have and are benefitting every day. Soon, similar assistive technology will emerge for the blind, those suffering from epilepsy, and many others.
With the current capability in microtechnology, never before have there been so many opportunities to develop devices that effectively interface with the nervous system. Such devices are often referred to as neural interfaces or brain-machine interfaces and range from wearable surface-electrode systems to fully implantable devices. The interface typically uses an electrical connection (i.e. electrodes) to achieve the neural recording and/or stimulation utilising a variety of techniques, including: electroencephalography (EEG), electromyography (EMG), electrocorticography (ECoG) and direct interfacing using cuff electrodes or penetrating microelectrode arrays (MEAs). Neural prostheses use such interfaces to bypass dysfunctional pathways in the nervous system, by applying electronics to replace lost function.
Our research at the Next Generation Neural Interfaces Lab is aimed, ultimately at developing such devices to provide neural rehabilitation by exploiting the integration capability and scalability of modern semiconductor technology.
Our current research portfolio is funded by the EPSRC, and the Wellcome Trust. All our projects are collaborative, multidisciplinary and endeavour to explore the limits, extend current capabilities and develop next generation neural interface technology.
Controlling Abnormal Network Dynamics with Optogenetics - creating a new type of brain pacemaker for the treatment of drug-insensitive epilepsy
Empowering Next Generation Implantable Neural Interfaces - creating truly wireless, autonomous chip-scale implants for distributed sensing
in-vivo Platform for the Real-time Observation of Brain Extracellular Activity - developing 1,000+ channel scalable recording tools for neuroscience
Ultra-low Power Platform for Next Generation Neural Interfaces - creating a multichannel interface with on-node spike sorting for realtime BMIs
Enabling Technologies for Sensory Feedback in Next Generation Assistive Devices - developing a bidirectional PNS interface for upper-limb prosthetics