Brain-Computer Interface Research

Brain-Computer Interface Research

A State-of-the-Art Summary 6

Allison, Brendan; Lebedev, Mikhail; Guger, Christoph

Springer International Publishing AG

09/2017

134

Mole

Inglês

9783319643724

15 a 20 dias

2234

Descrição não disponível.
Introduction (C. Guger et al.).- Advances in BCI: A Neural Bypass Technology to Reconnect the Brain to the Body (G. Sharma et al.).- Re(con)volution: Accurate Response Prediction for Broad-Band Evoked Potential-Based BCIs (J. Thielen et al.).- Intracortical Microstimulation as a Feedback Source for BCI Users (S. Flesher et al.).- A Minimally Invasive Endovascular Stent-Electrode Array for Chronic Recordings of Cortical Neural Activity (T. J. Oxley et al.).- Visual Cue-Guided Rat Cyborg (Y. Wang et al.).- Predicting Motor Intentions with Closed-Loop BCIs (M. Schultze-Kraft et al.).- Sixteen Commands and 40 Hz Carrier Frequency Code-Modulated Visual Evoked Potential BCI (D. Aminaka et al.).- Precise and Reliable Activation of Cortex with Micro-Coils (S. Woo Lee et al.).- Towards Online Functional Brain Mapping and Monitoring During Awake Craniotomy Surgery Using ECoG-Based Brain-Surgeon Interface (BSI) (L. Yao et al.).
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BCI Prize 2016;BCI innovation award;BCI Research Award;Brain-computer Interface;Brain-machine Interface;Electroencephalography;Neurofeedback training;Neural bypass reconnection;Motor intention prediction;Brain monitoring during awake surgery