Brain-Computer Interface Research

Chapter 1: Brain-Computer Interface Research: A State-of-the-Art Summary 11.- Chapter 2: Remediating Phonological Deficits in Dyslexia with Brain-Computer Interfaces.- Chapter 3: Highly generalizable spelling using a silent-speech BCI in a person with severe anarthria.- Chapter 4: Fast, accurate, unsupervised, and time-adaptive EEG-based auditory attention decoding for neuro-steered hearing devices.- Chapter 5: Closed-loop control of images based on electrocorticogram decoding in visual semantic space.- Chapter 6: Digital bridge to restore voluntary control of leg movements after paralysis.- Chapter 7: Brain-body interfaces to assist and restore motor functions in people with paralysis.- Chapter 8: Keeping our eyes on the prize; Are we losing sight of the 'why' in BCI for neurorehabilitation?.- Chapter 9: Real-time decoding of leg motor function and dysfunction from the subthalamic nucleus in people with Parkinson's disease.- Chapter 10: Designing Touch: Intracortical Neurohaptic Feedback in Virtual Reality.- Chapter 11: May the force be with you: biomimetic grasp force decoding for brain controlled bionic hands.- Chapter 12: Real-Time Intraoperative Sensorimotor Cortex Localization and Consciousness Assessment with the Spatial and Spectral Profile of the Median Nerve Somatosensory Evoked Potentials.- Chapter 13: A Summary of the 2022 BCI Award with Discussion of BCI Trends.

Christoph Guger studied electrical and biomedical engineering at the University of Technology Graz in Austria and Johns Hopkins University in the USA and received his PhD in 1999. In 1999 he started the company g.tec which was now branches in Austria, Spain, the USA, Canada and Hong Kong. g.tec produces high-quality neurotechnology and real-time brain computer interfaces for the research, medical and consumer markets. The company is active in many international research projects about brain-computer interfacing, neuromodulation, stroke rehabilitation, assessment and communication with patients with disorders of consciousness and high-gamma mapping in epilepsy and tumor patients.



Dr. Allison has been active in EEG research for over 20 years, most of which involved brain-computer interface (BCI) systems. He earned his PhD in Cognitive Science in 2003 at UC San Diego, where he focused on BCIs based on visual attention (primarily P300) and imagined movement. He has since worked with several top researchers and institutes, including Prof. Wolpaw at the New York State Dept of Health, Prof. Polich at The Scripps Research Institute, and Profs. Pfurtscheller and Neuper at Graz University of Technology. He returned to his alma mater and is again with the Cognitive Science Dept. at UCSD. He is a Founding Board Member of the BCI Society and editor of the BCI Journal. Dr. Allison's recent work involves extending BCI technology to help new groups. This includes persons seeking motor rehabilitation after a stroke and persons with disorders of consciousness (DOC).

Tomasz M. Rutkowski holds a Master of Science in Electronics and a Ph.D. in Telecommunications and Acoustics from Wroclaw University of Technology, Poland. He has worked as a research scientist at RIKEN Brain Science Institute, Japan, and has held various academic positions in Japan at Kyoto University, University of Tsukuba, The University of Tokyo, and currently at RIKEN AIP,as well as in