Welcome to the Next Generation Neural Interfaces (NGNI) research video gallery.
We have created a series of short video clips featuring our researchers talking about their work on neural interfaces. Select video clip from the list on the right.
NGNI Member Videos
Next Generation Neural Interfaces (NGNI) Group
Dr. Timothy Constandinou introduces the Next Generation Neural Interfaces research group at Imperial College London.
Making long-lasting and safer neural implants
discusses the importance of long-term reliablity of implantable devices and describes his research work within the ENGINI project.
Next Generation Implantable Brain Machine Interfaces
Presented at World Economic Forum - Annual Meeting of the New Champions in Dalian, China
Timothy Constandinou reviews recent advances in Brain Machine Interfaces (BMIs) and identifies key challenges with the current state-of-the-art moving forward. The ENGINI vision aims to address these by developing next generation technology that is mm-scale, distributed, autonomous and completely wireless.
Closed-loop deep brain stimulation for Parkinson's disease
Dr. Laszlo Grand talks about Deep Brain Stimulation for Parkinson's disease and his project on developing a closed-loop implantable system for event based stimulation.
Creating a distributed network of implantable devices
Smart neural activity streaming
Dr. Song Luan talks about his work on a miniature multi-channel neural recording platform for recognising individual neurons in real-time.
This work is part of the NGNI and iPROBE projects.
Creating a prosthesis with sensory feedback
Dr. Ian Williams talks about developing a prosthetic arm that feels like a part of your body.
This work is part of the SenseBack project.
Using light to record neural signals
discusses using light beams to detect neural activity in peripheral nerves and the possible applications of optical coherence tomography to non invasive neural recording.
Microdevice for sleep measurement
Bryan Hsieh talks about the development of a compact, light weight, EEG (Electroencephalogram) device that can be used to help researchers understand the process of sleep and how it links to brain functions.
Functional Neuroimaging using Impulse Radar