PubMed Mentions
The links below are to publications on PubMed referring to BCILAB. This list is gathered weekly from PubMed automatically.
| Publication/References | |
| EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing. Description: Delorme, Arnaud, et al. EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing. ''Comput Intell Neurosci''. 2011; '''2011''': 130714 | |
| Methodological aspects of EEG and body dynamics measurements during motion. Description: Reis, Pedro M R, et al. Methodological aspects of EEG and body dynamics measurements during motion. ''Front Hum Neurosci''. 2014; '''8''': 156 | |
| A Single-Session Preliminary Evaluation of an Affordable BCI-Controlled Arm Exoskeleton and Motor-Proprioception Platform. Description: Elnady, Ahmed Mohamed, et al. A Single-Session Preliminary Evaluation of an Affordable BCI-Controlled Arm Exoskeleton and Motor-Proprioception Platform. ''Front Hum Neurosci''. 2015; '''9''': 168 | |
| Improving the performance of an EEG-based motor imagery brain computer interface using task evoked changes in pupil diameter. Description: Rozado, David, et al. Improving the performance of an EEG-based motor imagery brain computer interface using task evoked changes in pupil diameter. ''PLoS One''. 2015; '''10''' (3):e0121262 | |
| Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear. Description: Debener, Stefan, et al. Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear. ''Sci Rep''. 2015 Nov 17; '''5''': 16743 | |
| Gaussian Process Regression for Predictive But Interpretable Machine Learning Models: An Example of Predicting Mental Workload across Tasks. Description: Caywood, Matthew S, et al. Gaussian Process Regression for Predictive But Interpretable Machine Learning Models: An Example of Predicting Mental Workload across Tasks. ''Front Hum Neurosci''. 2016; '''10''': 647 | |
| Embodied neurofeedback with an anthropomorphic robotic hand. Description: Braun, Niclas, et al. Embodied neurofeedback with an anthropomorphic robotic hand. ''Sci Rep''. 2016 Nov 21; '''6''': 37696 | |
| Classifying three imaginary states of the same upper extremity using time-domain features. Description: Tavakolan, Mojgan, et al. Classifying three imaginary states of the same upper extremity using time-domain features. ''PLoS One''. 2017; '''12''' (3):e0174161 | |
| EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks. Description: Courellis, Hristos, et al. EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks. ''Front Neurosci''. 2017; '''11''': 180 | |
| EEG-Neurofeedback as a Tool to Modulate Cognition and Behavior: A Review Tutorial. Description: Enriquez-Geppert, Stefanie, et al. EEG-Neurofeedback as a Tool to Modulate Cognition and Behavior: A Review Tutorial. ''Front Hum Neurosci''. 2017; '''11''': 51 | |
| Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving. Description: Zander, Thorsten O, et al. Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving. ''Front Hum Neurosci''. 2017; '''11''': 78 | |
| Combining Mental Training and Physical Training With Goal-Oriented Protocols in Stroke Rehabilitation: A Feasibility Case Study. Description: Zhang, Xin, et al. Combining Mental Training and Physical Training With Goal-Oriented Protocols in Stroke Rehabilitation: A Feasibility Case Study. ''Front Hum Neurosci''. 2018; '''12''': 125 | |
| Predicting affective valence using cortical hemodynamic signals. Description: Trambaiolli, Lucas R, et al. Predicting affective valence using cortical hemodynamic signals. ''Sci Rep''. 2018 Mar 29; '''8''' (1):5406 | |
| Attending to Visual Stimuli versus Performing Visual Imagery as a Control Strategy for EEG-based Brain-Computer Interfaces. Description: Kosmyna, Nataliya, et al. Attending to Visual Stimuli versus Performing Visual Imagery as a Control Strategy for EEG-based Brain-Computer Interfaces. ''Sci Rep''. 2018 Sep 5; '''8''' (1):13222 | |
| Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation. Description: Spychala, Nadine, et al. Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation. ''Front Hum Neurosci''. 2019; '''13''': 461 | |
| Closed-Loop Frontal Midlinetheta Neurofeedback: A Novel Approach for Training Focused-Attention Meditation. Description: Brandmeyer, Tracy, et al. Closed-Loop Frontal Midlinetheta Neurofeedback: A Novel Approach for Training Focused-Attention Meditation. ''Front Hum Neurosci''. 2020; '''14''': 246 | |
| Tracing Pilots' Situation Assessment by Neuroadaptive Cognitive Modeling. Description: Klaproth, Oliver W, et al. Tracing Pilots' Situation Assessment by Neuroadaptive Cognitive Modeling. ''Front Neurosci''. 2020; '''14''': 795 | |
| Classifying creativity: Applying machine learning techniques to divergent thinking EEG data. Description: Stevens, Carl E Jr, et al. Classifying creativity: Applying machine learning techniques to divergent thinking EEG data. ''Neuroimage''. 2020 Oct 1; '''219''': 116990 | |
| The SSVEP tracks attention, not consciousness, during perceptual filling-in. Description: Davidson, Matthew J, et al. The SSVEP tracks attention, not consciousness, during perceptual filling-in. ''Elife''. 2020 Nov 10; '''9''': | |
| How using brain-machine interfaces influences the human sense of agency. Description: Caspar, Emilie A, et al. How using brain-machine interfaces influences the human sense of agency. ''PLoS One''. 2021; '''16''' (1):e0245191 | |
| Subject-independent decoding of affective states using functional near-infrared spectroscopy. Description: Trambaiolli, Lucas R, et al. Subject-independent decoding of affective states using functional near-infrared spectroscopy. ''PLoS One''. 2021; '''16''' (1):e0244840 | |
| Decoding subjective emotional arousal from EEG during an immersive virtual reality experience. Description: Hofmann, Simon M, et al. Decoding subjective emotional arousal from EEG during an immersive virtual reality experience. ''Elife''. 2021 Oct 28; '''10''': |