PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Toward Brain-Computer Interfacing
Guido Dornhege, José del R Millán, Thilo Hinterberger, Dennis McFarland and Klaus-Robert Müller, ed. (2007) MIT Press , Cambridge, MA .


The advances in brain-computer interfaces in this book could have far-reaching consequences for how we interact with the world around us. A communications channel that bypasses the normal motor outflow from the brain will have an immediate benefit for paraplegic patients. Someday the same technology will allow humans to remotely control agents in exotic environments, which will open new frontiers that we can only dimly imagine today. The earliest systems to be developed were based on noninvasive electroencephalographic (EEG) recordings. Because these systems do not require invasive surgical implants, they can be used for a wide range of applications. The disadvantage is the relatively low rate of signaling that can be achieved. Nonetheless, advances in signal processing techniques and the development of dry electrodes make this an attractive approach. Three separate research areas have contributed to major advances in invasive brain-computer interfaces. First, the neural code for motor control was uncovered based on recordings from single neurons in different cortical areas of alert primates. The second was the development of mathematical algorithms for converting the train of spikes recorded from populations of these neurons to an intended action, called the decoding problem. Third, it was necessary to achieve stable, long-term recordings from small, cortical neurons in a harsh aqueous environment. For both invasive and noninvasive BCIs interdisciplinary teams of scientists and engineers needed to work closely together to create successful systems. Success in brain-computer interfaces has also depended on the remarkable ability of the brain to adapt to unusual tasks, none more challenging than “mind control” of extracorporeal space. We are still at an early stage of development, but the field is moving forward rapidly and we can confidently expect further advances in the near future. (Foreword by Terrence J. Sejnowski)

EPrint Type:Book
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:3304
Deposited By:Benjamin Blankertz
Deposited On:07 February 2008