AIMC Topic: Event-Related Potentials, P300

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Local and Remote Cooperation With Virtual and Robotic Agents: A P300 BCI Study in Healthy and People Living With Spinal Cord Injury.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 23, 2016
The development of technological applications that allow people to control and embody external devices within social interaction settings represents a major goal for current and future brain-computer interface (BCI) systems. Prior research has sugges...
Brain-Computer Interfaces Task Performance and Analysis Spinal Cord Injuries Movement Sensitivity and Specificity Male User-Computer Interface Robotics Humans Event-Related Potentials, P300 Man-Machine Systems Imagination Female Reproducibility of Results Young Adult Adult
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A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface.

Computational intelligence and neuroscience Dec 24, 2015
We evaluate the possibility of application of combination of classifiers using fuzzy measures and integrals to Brain-Computer Interface (BCI) based on electroencephalography. In particular, we present an ensemble method that can be applied to a varie...
Models, Biological Brain-Computer Interfaces Photic Stimulation Event-Related Potentials, P300 Biomechanical Phenomena Fuzzy Logic Robotics Electroencephalography Spatial Navigation Humans Brain Computer Simulation
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Training and testing ERP-BCIs under different mental workload conditions.

Journal of neural engineering Dec 10, 2015
OBJECTIVE: As one of the most popular and extensively studied paradigms of brain-computer interfaces (BCIs), event-related potential-based BCIs (ERP-BCIs) are usually built and tested in ideal laboratory settings in most existing studies, with subjec...
Reproducibility of Results Young Adult Adult Sensitivity and Specificity Humans Machine Learning Female Event-Related Potentials, P300 Communication Devices for People with Disabilities Workload Pattern Recognition, Automated Brain-Computer Interfaces Task Performance and Analysis Word Processing Male Cognition Electroencephalography
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Towards a symbiotic brain-computer interface: exploring the application-decoder interaction.

Journal of neural engineering Nov 18, 2015
OBJECTIVE: State of the art brain-computer interface (BCI) research focuses on improving individual components such as the application or the decoder that converts the user's brain activity to control signals. In this study, we investigate the intera...
Male Electroencephalography Brain-Computer Interfaces Photic Stimulation Event-Related Potentials, P300 Humans Machine Learning Female Adult
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Comparative Study of SSVEP- and P300-Based Models for the Telepresence Control of Humanoid Robots.

PloS one Nov 12, 2015
In this paper, we evaluate the control performance of SSVEP (steady-state visual evoked potential)- and P300-based models using Cerebot-a mind-controlled humanoid robot platform. Seven subjects with diverse experience participated in experiments conc...
Male Female Robotics Brain-Computer Interfaces Electroencephalography Reproducibility of Results Humans Evoked Potentials, Visual Signal Processing, Computer-Assisted Young Adult Algorithms Event-Related Potentials, P300 Adult Brain
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Increasing N200 Potentials Via Visual Stimulus Depicting Humanoid Robot Behavior.

International journal of neural systems Oct 9, 2015
Achieving recognizable visual event-related potentials plays an important role in improving the success rate in telepresence control of a humanoid robot via N200 or P300 potentials. The aim of this research is to intensively investigate ways to induc...
Photic Stimulation Evoked Potentials Event-Related Potentials, P300 Humans Female Male Robotics Evoked Potentials, Visual
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Incorporating advanced language models into the P300 speller using particle filtering.

Journal of neural engineering Jun 10, 2015
OBJECTIVE: The P300 speller is a common brain-computer interface (BCI) application designed to communicate language by detecting event related potentials in a subject's electroencephalogram signal. Information about the structure of natural language ...
Signal Processing, Computer-Assisted Pattern Recognition, Automated Brain-Computer Interfaces Humans Task Performance and Analysis Machine Learning Event-Related Potentials, P300 Algorithms Communication Devices for People with Disabilities Models, Statistical Word Processing Computer Simulation Brain Mapping Reproducibility of Results Natural Language Processing Sensitivity and Specificity Electroencephalography
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Word-level language modeling for P300 spellers based on discriminative graphical models.

Journal of neural engineering Feb 16, 2015
OBJECTIVE: In this work we propose a probabilistic graphical model framework that uses language priors at the level of words as a mechanism to increase the performance of P300-based spellers.
Word Processing Humans Algorithms Computer Simulation Electrocardiography Task Performance and Analysis Language Models, Statistical Computer Graphics Natural Language Processing Event-Related Potentials, P300 Brain-Computer Interfaces Communication Devices for People with Disabilities
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Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 25, 2014
P300 spellers can provide a means of communication for individuals with severe neuromuscular limitations. However, its use as an effective communication tool is reliant on high P300 classification accuracies ( > 70%) to account for error revisions. E...
Humans Event-Related Potentials, P300 Communication Devices for People with Disabilities Word Processing Natural Language Processing Machine Learning Bayes Theorem Algorithms Pattern Recognition, Automated Reproducibility of Results Brain-Computer Interfaces Sensitivity and Specificity
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Deep learning-based EEG analysis: investigating P3 ERP components.

Journal of integrative neuroscience Dec 30, 2021
The neural processing of incoming stimuli can be analysed from the electroencephalogram (EEG) through event-related potentials (ERPs). The P3 component is largely investigated as it represents an important psychophysiological marker of psychiatric di...
Deep Learning Models, Theoretical Electroencephalography Event-Related Potentials, P300 Humans
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