Classification of single-trial motor imagery EEG by complexity regularization
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3174-6
Abstract: Brain computer interface based on electroencephalogram is a popular way to enable communication between brain and output devices helping elderly and disabled people and in rehabilitation. In practice, the effectiveness of brain computer interface has… read more here.
Keywords: common spatial; classification; spatial pattern; single trial ... See more keywords
Single-Trial Decoding from Local Field Potential Using Bag of Word Representation
Sign Up to like & getrecommendations! Published in 2019 at "Brain Topography"
DOI: 10.1007/s10548-019-00726-8
Abstract: Neural decoding allows us to study the brain functions by investigating the relationship between a stimulus and the corresponding response. Recently, the local field potential (LFP) has been targeted as a hallmark of brain activity… read more here.
Keywords: trial; word; local field; trial decoding ... See more keywords
Single trial neuronal activity dynamics of attentional intensity in monkey visual area V4
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-22281-2
Abstract: Understanding how activity of visual neurons represents distinct components of attention and their dynamics that account for improved visual performance remains elusive because single-unit experiments have not isolated the intensive aspect of attention from attentional… read more here.
Keywords: visual area; intensity; attentional intensity; activity ... See more keywords
Single trial detection of error-related potentials in brain–machine interfaces: a survey and comparison of methods
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acabe9
Abstract: Objective. Error-related potential (ErrP) is a potential elicited in the brain when humans perceive an error. ErrPs have been researched in a variety of contexts, such as to increase the reliability of brain–computer interfaces (BCIs),… read more here.
Keywords: classification; error related; single trial; machine ... See more keywords
Discriminative Canonical Pattern Matching for Single-Trial Classification of ERP Components
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2019.2958641
Abstract: Event-related potentials (ERPs) are one of the most popular control signals for brain–computer interfaces (BCIs). However, they are very weak and sensitive to the experimental settings including paradigms, stimulation parameters and even surrounding environments, resulting… read more here.
Keywords: pattern matching; single trial; trial classification; discriminative canonical ... See more keywords
Friction in Passive Tactile Perception Induces Phase Coherency in Late Somatosensory Single Trial Sequences
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2019.2891915
Abstract: Event related potentials represent a noninvasive means for studying sensory and cognitive processes that occur in response to particular stimuli. Here, we report on a phase measure for estimating single trial interaction of late somatosensory… read more here.
Keywords: single trial; late somatosensory; phase coherency; trial sequences ... See more keywords
Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System
Sign Up to like & getrecommendations! Published in 2019 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2019/8432953
Abstract: Based on similarity measures in the wavelet domain under a multichannel EEG setting, two new methods are developed for single-trial event-related potential (ERP) detection. The first method, named “multichannel EEG thresholding by similarity” (METS), simultaneously… read more here.
Keywords: semblance; wavelet based; detection; trial ... See more keywords
Single-trial dynamics explain magnitude sensitive decision making
Sign Up to like & getrecommendations! Published in 2018 at "BMC Neuroscience"
DOI: 10.1186/s12868-018-0457-5
Abstract: AbstractBackgroundPrevious research has reported or predicted, on the basis of theoretical and computational work, magnitude sensitive reaction times. Magnitude sensitivity can arise (1) as a function of single-trial dynamics and/or (2) as recent computational work… read more here.
Keywords: decision; trial; magnitude sensitive; trial dynamics ... See more keywords
Separability of motor imagery of the self from interpretation of motor intentions of others at the single trial level: an EEG study
Sign Up to like & getrecommendations! Published in 2017 at "Journal of NeuroEngineering and Rehabilitation"
DOI: 10.1186/s12984-017-0276-4
Abstract: BackgroundWe aimed to investigate the separability of the neural correlates of 2 types of motor imagery, self and third person (actions owned by the participant himself vs. another individual). If possible this would allow for… read more here.
Keywords: level; motor imagery; motor; single trial ... See more keywords
Method for enhancing single-trial P300 detection by introducing the complexity degree of image information in rapid serial visual presentation tasks
Sign Up to like & getrecommendations! Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0184713
Abstract: The application of electroencephalogram (EEG) generated by human viewing images is a new thrust in image retrieval technology. A P300 component in the EEG is induced when the subjects see their point of interest in… read more here.
Keywords: single trial; image; trial p300; complexity ... See more keywords
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2021.737324
Abstract: A pervasive challenge in brain imaging is the presence of noise that hinders investigation of underlying neural processes, with Magnetoencephalography (MEG) in particular having very low Signal-to-Noise Ratio (SNR). The established strategy to increase MEG's… read more here.
Keywords: noise; trial meg; meg; data denoised ... See more keywords