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Workshops of the seventh international brain-computer interface meeting: not getting lost in translation

Publications associées (32)

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Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis

José del Rocio Millán Ruiz, Gangadhar Garipelli

Brain‐computer interfaces (BCIs) can provide sensory feedback of ongoing brain oscillations, enabling stroke survivors to modulate their sensorimotor rhythms purposefully. A number of recent clinical studies indicate that repeated use of such BCIs might tr ...

2018

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The Sixth International Brain-Computer Interface (BCI) Meeting was held May 30-June 3rd, 2016 at the Asilomar Conference Grounds, Pacific Grove, California, United States. The conference included 28 workshops covering topics in BCI and brain-machine inter ...

2017

Brain-machine interfaces (BMIs) allow the user to control an external device such as a robotic arm, a cursor, or an avatar in a virtual world through the real-time decoding of brain signals and without the involvement of the musculoskeletal system. Althoug ...

EPFL2016

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

A brain-machine interface (BMI) is about transforming neural activity into action and sensation into perception (Figure 1). In a BMI system, neural signals recorded from the brain are fed into a decoding algorithm that translates these signals into motor o ...

2015

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

Interactive Learning from Unlabeled Instructions

Inaki Asier Iturrate Gil

Interactive learning deals with the problem of learning and solving tasks using human instructions. It is common in human-robot interaction, tutoring systems, and in human-computer interfaces such as brain-computer ones. In most cases, learning these tasks ...

2014

Quantification and Reduction of Visual Load during BCI Operation

José del Rocio Millán Ruiz, Robert Leeb

Operating a brain-actuated vehicle in real world environment requires much of our visual attention. However, a typical brain-computer interface (BCI) sends the feedback information about the current status of the user’s brain via also the visual channel. A ...

2014

Shared electrophysiology mechanisms of body ownership and motor imagery

Olaf Blanke, Nathaniel Evans

Although we feel, see, and experience our hands as our own (body or hand ownership), recent research has shown that illusory hand ownership can be induced for fake or virtual hands and may useful for neuroprosthetics and brain-computer interfaces. Despite ...

Academic Press Inc Elsevier Science2013

Thinking Penguin: Multi-modal Brain-Computer Interface Control of a VR Game

Robert Leeb

We describe a multi-modal brain-computer interface (BCI) experiment, situated in a highly immersive CAVE. A subject sitting in the virtual environment controls the main character of a virtual reality game: a penguin that slides down a snowy mountain slope. ...

Ieee-Inst Electrical Electronics Engineers Inc2013