Unsupervised adaptation of an ECoG based brain–computer interface using neural correlates of task performance
V Rouanne, T Costecalde, AL Benabid, T Aksenova - Scientific Reports, 2022 - nature.com
Brain–computer interfaces (BCIs) translate brain signals into commands to external
effectors, and mainly target severely disabled users. The usability of BCIs may be improved …
effectors, and mainly target severely disabled users. The usability of BCIs may be improved …
AJILE12: Long-term naturalistic human intracranial neural recordings and pose
Understanding the neural basis of human movement in naturalistic scenarios is critical for
expanding neuroscience research beyond constrained laboratory paradigms. Here, we …
expanding neuroscience research beyond constrained laboratory paradigms. Here, we …
A few filters are enough: Convolutional neural network for P300 detection
M Alvarado-Gonzalez, G Fuentes-Pineda… - Neurocomputing, 2021 - Elsevier
Over the past decade convolutional neural networks (CNNs) have become the driving force
of an ever-increasing set of applications, achieving state-of-the-art performance. Modern …
of an ever-increasing set of applications, achieving state-of-the-art performance. Modern …
Hybrid brain-computer interface with motor imagery and error-related brain activity
Objective. Brain-computer interface (BCI) systems read and interpret brain activity directly
from the brain. They can provide a means of communication or locomotion for patients …
from the brain. They can provide a means of communication or locomotion for patients …
Single-trial classification of error-related potentials in people with motor disabilities: a study in cerebral palsy, stroke, and amputees
Brain-computer interface performance may be reduced over time, but adapting the classifier
could reduce this problem. Error-related potentials (ErrPs) could label data for continuous …
could reduce this problem. Error-related potentials (ErrPs) could label data for continuous …
Improving non-invasive trajectory decoding via neural correlates of continuous erroneous feedback processing
HS Pulferer, K Kostoglou… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. Over the last decades, error-related potentials (ErrPs) have repeatedly proven
especially useful as corrective mechanisms in invasive and non-invasive brain-computer …
especially useful as corrective mechanisms in invasive and non-invasive brain-computer …
Behavioral and neural variability of naturalistic arm movements
Motor behaviors are central to many functions and dysfunctions of the brain, and
understanding their neural basis has consequently been a major focus in neuroscience …
understanding their neural basis has consequently been a major focus in neuroscience …
Decoding trajectories of imagined hand movement using electrocorticograms for brain–machine interface
Objective. Reaching hand movement is an important motor skill actively examined in the
brain–computer interface (BCI). Among the various components of movement analyzed is …
brain–computer interface (BCI). Among the various components of movement analyzed is …
What to believe? impact of knowledge and message length on neural activity in message credibility evaluation
L Kwasniewicz, GM Wojcik, P Schneider… - Frontiers in Human …, 2021 - frontiersin.org
Understanding how humans evaluate credibility is an important scientific question in the era
of fake news. Message credibility is among crucial aspects of credibility evaluations. One of …
of fake news. Message credibility is among crucial aspects of credibility evaluations. One of …
Window-Adjusted Common Spatial Pattern for Detecting Error-Related Potentials in P300 BCI
Z Huang, M Li, W Zheng, Y Wu, K Jiang… - Neural Processing …, 2023 - Springer
Under certain task conditions, error-related potential (ErrP) will be elicited, meaning that the
subject is perceiving an error, responding to an external error, or engaging in a cognitive …
subject is perceiving an error, responding to an external error, or engaging in a cognitive …