In this presentation we will introduce the fundamental concepts of brain-computer interfaces (BCIs).
Speaker
Reinhold Scherer - Professor of Brain-Computer Interfaces (BCI) and Neural Engineering at the University of Essex
Agenda
6:30pm - Hybrid event start
8:00pm - Presentation ends with networking for those attending at BCS London
9:00pm - Event close
Synopsis
Brain-computer interfaces (BCI) are direct communication channels between your brain and external devices. Imagine sending a message to your phone or playing a computer game just by thinking about it—no typing or clicking required! BCIs make this possible by decoding patterns in your brain signals. When you intentionally perform certain mental tasks, these patterns emerge.
The cool part? Even patterns that are not intentionally generated but emerge when our brain processes information can be useful! BCIs can monitor your cognitive processes and emotions, allowing devices to adapt and respond accordingly (neuroadaptive). Even before you consciously realise it yourself.
This opens up completely new and unprecedented possibilities for human-machine interaction and the improvement of cognitive and motor skills. However, there are challenges, particularly with BCIs based on electroencephalograms (EEG) - they have inconsistent performance and limitations in precise control. EEG signals are recorded by sensors on the scalp and therefore do not always provide a detailed real-time picture of information processing in the brain. However, they have the advantage of being widely applicable and do not require implantation.
In this presentation, I will introduce the fundamental concepts of brain-computer interfaces (BCIs), discuss current challenges, and take you on a two-decade journey of solution discovery and innovation.
The primary focus of this journey has been to advance technologies that empower individuals with motor impairments, enabling them to reconnect with their social networks through enhanced communication and improve their overall quality of life.
About the speaker
Reinhold Scherer
Reinhold Scherer is a Professor of Brain-Computer Interfaces (BCI) and Neural Engineering at the University of Essex, where he also has the privilege of serving as Co-Director of the Essex BCI-NE Laboratory and Head of the School of Computer Science and Electronic Engineering. He moreover serves on the board of the International BCI Society. He was awarded his MSc and PhD in Telematics from Graz University of Technology (TU Graz) in Austria, where he also completed a Habilitation in Applied Computer Science. He had the opportunity to conduct postdoctoral research at the University of Washington's School of Computer Science & Engineering.
He has subsequently held a number of academic roles at TU Graz, including that of Deputy Director of the Institute of Neural Engineering, and served as Technical Director at the Institute for Neurological Rehabilitation and Research at Clinic Judendorf-Straßengel, Austria. Reinhold, a distinguished authority in non-invasive Brain-Computer Interfaces (BCIs) and neural interface technology, boasts more than twenty years of experience.
His expertise lies in assistive communication for individuals with motor impairments and motor rehabilitation. His impactful contributions have advanced BCI systems, ensuring they stay at the forefront of innovation and are collaboratively developed with end users.
His research draws on a range of disciplines, with a particular focus on brain-machine coadaptation and neuroadaptive systems, predictive modelling with artificial intelligence (AI), and embodied biocomputing.
He is exploring the potential of applying systems engineering principles to neuroscience with the aim of developing neurotechnologies that enhance BCI control performance and efficiency, as well as facilitate the development of motor and cognitive skills.
He also develops predictive models for healthcare, optimises care pathways for people with Alzheimer's disease with comorbidities to promote independence and minimise care burden, and develops innovative communication tools for people with aphasia.
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