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Data from: Playing 20 Questions with the mind: collaborative problem solving by humans using a brain-to-brain interface
- 负责人：
- DOI：
- doi:10.5061/dryad.g15k7
- 摘要：
- We present, to our knowledge, the first demonstration that a non-invasive brain-to-brain interface (BBI) can be used to allow one human to guess wha
Data from: Optimizing the detection of wakeful and sleep-like states for future electrocorticographic brain computer interface applications
- 负责人：
- DOI：
- doi:10.5061/dryad.4f92n
- 摘要：
- Previous studies suggest stable and robust control of a brain-computer interface (BCI) can be achieved using electrocorticography (ECoG). Tra
Data from: Noninvasive electroencephalogram based control of a robotic arm for reach and grasp tasks
- 负责人：
- DOI：
- doi:10.5061/dryad.nh109
- 摘要：
- Brain-computer interface (BCI) technologies aim to provide a bridge between the human brain and external devices. Prior research using non-invasive
Data from: A multi-target brain-computer based on code modulated visual evoked potentials
- 负责人：
- DOI：
- doi:10.5061/dryad.r1j3051
- 摘要：
- The number of selectable targets is one of the main factors that affect the performance of a brain-computer interface (BCI). Most existing code
Data from: Adaptive multi-degree of freedom Brain Computer Interface using online feedback: Towards novel methods and metrics of mutual adaptation
- 负责人：
- DOI：
- doi:10.5061/dryad.609g597
- 摘要：
- This paper proposes a novel adaptive online-feedback methodology for Brain Computer Interfaces (BCI). The method uses ElectroEncephaloGraphic (EEG
Data from: Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
- 负责人：
- DOI：
- doi:10.5061/dryad.v46p2jh
- 摘要：
- Brain-computer interfaces (BCIs) using signals acquired with intracortical implants have achieved successful high-dimensional robotic device cont
Data from: BCI training to move a virtual hand reduces phantom limb pain: a randomized crossover trial
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.15dv41nt9
- 摘要：
- Objective: To determine whether training with a brain–computer interface (BCI) to control an image of a phantom hand, which moves based on cortical
Data from: Classifying three imaginary states of the same upper extremity using time-domain features
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.6qs86
- 摘要：
- Brain-computer interface (BCI) allows collaboration between humans and machines. It translates the electrical activity of the brain to under
Data from: Single-session tDCS over the dominant hemisphere affects contralateral spectral EEG power, but does not enhance neurofeedback-guided
- 负责人：
- DOI：
- doi:10.5061/dryad.3m8j0
- 摘要：
- d for stimulation is the same from which the signal for neurofeedback is acquired. As tDCS may interfere with proximal electroencephalographic (EEG) electrodes
Eurobarometer 73.1 (Jan-Feb 2010);;Eurobarometer 73.1 (Jan-Feb 2010);;The European Parliament, Biotechnology, and Science and Technology;;The Eu
- 负责人：
- Papacostas, Antonis;;European Parliament, Directorate-General For Communication, Public Opinion Monitoring Unit;;TNS Dimarso, Brussels, Belgium;;TNS
- 关键词：
- KAT12 International Institutions, Relations, Conditions KAT56 University, Research, the Sciences KAT58 Technology, Energy
- DOI：
- doi:10.4232/1.11428
- 摘要：
- ; weighting factor; interviewer ID.;;Pers?nliches Interview (teilweise CAPI);;Face-to-face interviewCAPI (Computer Assisted Personal Interview) was used in those
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