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Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future

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Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil

Brain-machine interfaces (BMI) usually decode movement parameters from cortical activity to control neuroprostheses. This requires subjects to learn to modulate their brain activity to convey all necessary information, thus imposing natural limits on the c ...

Nature Publishing Group2015

Moving Brain-Controlled Devices Outside the Lab: Principles and Applications

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Inaki Asier Iturrate Gil, Serafeim Perdikis

This chapter provides an overview of the functionality and the underlying principles of the brain-computer interfaces (BCI) developed by the Chair in Non-Invasive Brain-Machine Interface (CNBI) of the Swiss Federal Institute of Technology (EPFL), as well a ...

Springer Netherlands2015

The Plurality of Human Brain-Computer Interfacing

José del Rocio Millán Ruiz

The articles in this special issue focus on brain-computer interfacing. The papers are dedicated to this growing and diversifying research enterprise, and features important review articles as well as some important current examples of research in this are ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Neurotechnology for Brain Repair

Andrea Biasiucci

Neurotechnology is the application of scientific knowledge to the practical purpose of understanding, interacting and/or repairing the brain or, in a broader sense, the nervous system. The development of novel approaches to decode functional information fr ...

EPFL2014

Habit learning and brain-machine interfaces (BMI): a tribute to Valentino Braitenberg's "Vehicles"

Friedhelm Christoph Hummel

Brain-Machine Interfaces (BMI) allow manipulation of external devices and computers directly with brain activity without involvement of overt motor actions. The neurophysiological principles of such robotic brain devices and BMIs follow Hebbian learning ru ...

Springer Verlag2014

Calibration-Free BCI Based Control

Inaki Asier Iturrate Gil

Recent works have explored the use of brain signals to directly control virtual and robotic agents in sequential tasks. So far in such brain-computer interfaces (BCI), an explicit calibration phase was required to build a decoder that translates raw electr ...

2014

BMI: Lessons from Tests with Impaired Users

José del Rocio Millán Ruiz

Brain-machine interfaces (BMI) have largely been demonstrated in laboratory conditions involving, mainly, healthy users. We have recently carried out a series of studies with a substantial number of motor-disabled end-users operating different brain-contro ...

2014

Virtual reality based Brain-Machine-Interface for Sensori-Motor and Social experiments with Primates

Solaiman Shokur

As a result of improved understanding of brain mechanisms as well as unprecedented technical advancement in neural recording methods and computer technology, it is now possible to translate large-scale brain signals into movement intentions in real time. S ...

EPFL2013

At the current stage, Brain-Computer Interfaces (BCIs) represent a promising technology for communication and control of assistive devices as well as for the clinical motor rehabilitation after a stroke. Current BCI systems may be divided in two main typol ...

EPFL2013

Brain-Computer Interfaces

José del Rocio Millán Ruiz

This chapter introduces the filed of brain-computer interfaces (BCI), also called brain-machine interfaces (BMI), which has seen impressive achievements over the past few years. A BCI monitors the user’s brain activity, extracts specific features from the ...

John Wiley & Sons2013