Should the parameters of a BCI translation algorithm be continually adapted? - Wikidata - awgldk - TriplyDB

Should the parameters of a BCI translation algorithm be continually adapted?

Should the parameters of a BCI translation algorithm be continually adapted?

http://www.wikidata.org/entity/Q35099276

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Operationalizing Cognitive Science and Technologies' Research and Development; the "Brain and Cognition Study Group (BCSG)" Initiative from Shiraz, Iran.Motor imagery for severely motor-impaired patients: evidence for brain-computer interfacing as superior control solution.The advantages of the surface Laplacian in brain-computer interface research.ERD-based online brain-machine interfaces (BMI) in the context of neurorehabilitation: optimizing BMI learning and performance Coadaptive aiding and automation enhance operator performance.Neural decoding of attentional selection in multi-speaker environments without access to clean sources.Efficient automatic selection and combination of EEG features in least squares classifiers for motor imagery brain-computer interfaces.Usability and Cost-effectiveness in Brain-Computer Interaction

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P2860

Should the parameters of a BCI translation algorithm be continually adapted?

http://www.wikidata.org/entity/Q35099276

description

2011 nî lūn-bûn

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2011 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2011 թվականի մայիսին հրատարակված գիտական հոդված

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2011年の論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年论文

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name

Should the parameters of a BCI translation algorithm be continually adapted?

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Should the parameters of a BCI translation algorithm be continually adapted?

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Should the parameters of a BCI translation algorithm be continually adapted?

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Should the parameters of a BCI translation algorithm be continually adapted?

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Should the parameters of a BCI translation algorithm be continually adapted?

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Should the parameters of a BCI translation algorithm be continually adapted?

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P356

J.JNEUMETH.2011.04.037

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Journal of Neuroscience Methods

P1476

Should the parameters of a BCI translation algorithm be continually adapted?

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P2093

Dennis J McFarland

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Jonathan R Wolpaw

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William A Sarnacki

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P2860

Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials

The P300-based brain-computer interface (BCI): effects of stimulus rate.

Brain-computer interfaces for communication and control.

BCI Meeting 2005--workshop on BCI signal processing: feature extraction and translation.

Toward enhanced P300 speller performance.

Brain-computer interface signal processing at the Wadsworth Center: mu and sensorimotor beta rhythms.

Sensorimotor rhythm-based brain-computer interface (BCI): model order selection for autoregressive spectral analysis.

Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.

The BCI competition. III: Validating alternative approaches to actual BCI problems.

A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance.

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103-107

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scholarly article

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10.1016/J.JNEUMETH.2011.04.037

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1

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199

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51125562

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21571004

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