Brain-computer communication: unlocking the locked in.

By Andrea Kübler, Boris Kotchoubey, Jochen Kaiser, Jonathan R. Wolpaw, Niels Birbaumer. Psychological bulletin, 2001

619 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/6cabfd7d1cc8c20d3f89e75898d6f434bf38c82b

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In Cognitive Neuroscience

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Citations in the corpus

BCI2000: a general-purpose brain-computer interface (BCI) system (2004, background): “…or lack any useful muscle control (e.g., due to severe cerebral palsy), a BCI system 0018-9294/04$20.00 © 2004 IEEE could give the ability to answer simple questions quickly, control the environment, perform slow word processing, or even operate a neuroprosthesis or orthosis (see [10]–[12]).”
Towards an independent brain-computer interface using steady state visual evoked potentials. (2008, background): “Two BCI reviews (Kübler et al., 2001; Wolpaw et al., 2002) define SSVEP BCIs as ‘‘dependent’’ BCIs, meaning that they use EEG features that depend on muscle activity and thus would not work in patients without control over that activity.”
The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects (2008, background): “, for a computer application or a neuroprosthesis [3]–[8].”
Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing (2006, neutral): “[2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13].”
The Berlin brain-computer interface: EEG-based communication without subject training (2006, background): “There is a huge variety of BCI systems, see [1], [3], [4] for a broad overview.”
Brain–computer interfaces: communication and restoration of movement in paralysis (2007, background): “Over the past 15 years, 28 patients with ALS and five patients with other severe brain disorders were trained with BCIs, most of them in their homes (Birbaumer et al. 1999; Kübler et al. 2001a,b, Birbaumer, 2006b; Kübler & Birbaumer, submitted).”
Regulation of anterior insular cortex activity using real-time fMRI (2007, methodology): “Learned regulation of slow cortical potentials was used to allow communication in severely paralyzed patients (Birbaumer et al., 1999; Kübler et al., 2001) and to suppress epileptic activity (Kotchoubey et al., 2001).”
The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects (2007, background): “There is a huge variety of BCI systems (see Pfurtscheller et al., 2005; Wolpaw et al., 2002; Kübler et al., 2001; Dornhege et al., 2007b; Curran and Stokes, 2003).”
A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals (2007, methodology): “Response to mental tasks BCI systems based on non-movement mental tasks assume that different mental tasks (e.g., solving a multiplication problem, imagining a 3D object, and mental counting) lead to distinct, task-specific distributions of EEG frequency patterns over the scalp (Kubler et al 2001a).”
Introduction to machine learning for brain imaging (2011, background): “As a result a number of novel data driven approaches speci ﬁ c to neuroscience have emerged: (a) dimension reduction and projection methods (e.g. Hyvärinen et al., 2001; Ziehe et al., 2000; Parra and Sajda, 2003; Morup et al., 2008; von Bünau et al., 2009; Blanchard et al., 2006; Bießmann et al.,…”
Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces (2009, neutral): “CC BCI systems can also be based on other components of brain signals, see Dornhege et al. (2007); Allison et al. (2007); Birbaumer et al. (2006); Pfurtscheller et al. (2005); Wolpaw et al. (2002); K¨ubler et al. (2001) for an overview, but only SMR-based BCIs are considered in this paper.”
A P300-based brain-computer interface: initial tests by ALS patients. (2006, background): “Kubler et al. (2001) have shown that severely disabled patients can use slow cortical potentials to operate a BCI.”
Review of the BCI Competition IV (2012, background): “This branch of BCI research aims at the (partial) restoration and rehabilitation of lost functions in paralyzed patients (Kübler et al., 2001; Wolpaw et al., 2002).”
The BCI competition III: validating alternative approaches to actual BCI problems (2006, background): “The system estimates the intent of the human user from her/his brain signals measured at microscopic, mesoscopic, or macroscopic scale, cf. [1], [2], [ 3 ], [4] for an overview.”
Brain-computer interface technology: a review of the Second International Meeting. (2003, background): “The Tübingen group’s TTD has been tested extensively in people with late-stage ALS and has proved able to supply basic communication capability [10].”
Single-trial analysis and classification of ERP components - A tutorial (2011, positive): “This branch of research is strongly influenced by the development of an effective communication interface connecting the human brain and a computer ([19, 33, 35, 76, 5, 52, 16, 77, 34]), which finally also attracted the machine learning community to the field [6, 69, 27, 47, 11, 50, 7, 8, 74, 49, 67”