AIMC Topic: Brain-Computer Interfaces

Clear Filters Showing 521 to 530 of 662 articles

Leveraging anatomical information to improve transfer learning in brain-computer interfaces.

Journal of neural engineering Jul 14, 2015
OBJECTIVE: Brain-computer interfaces (BCIs) represent a technology with the potential to rehabilitate a range of traumatic and degenerative nervous system conditions but require a time-consuming training process to calibrate. An area of BCI research ...
Information Storage and Retrieval Pattern Recognition, Automated Brain-Computer Interfaces Cerebral Cortex Models, Anatomic Computer Simulation Models, Neurological Brain Mapping Electroencephalography Humans Machine Learning Algorithms
View on PubMed DOI

Assessment of brain-machine interfaces from the perspective of people with paralysis.

Journal of neural engineering Jul 14, 2015
OBJECTIVE: One of the main goals of brain-machine interface (BMI) research is to restore function to people with paralysis. Currently, multiple BMI design features are being investigated, based on various input modalities (externally applied and surg...
Male Middle Aged Adolescent United States Aged Patient Preference Robotics Aged, 80 and over Needs Assessment Humans Young Adult Electroencephalography Communication Devices for People with Disabilities Technology Adult Brain-Computer Interfaces Quadriplegia Female Health Care Surveys
View on PubMed DOI

A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery.

PloS one Jun 26, 2015
This work describes a generalized method for classifying motor-related neural signals for a brain-computer interface (BCI), based on a stochastic machine learning method. The method differs from the various feature extraction and selection techniques...
Brain-Computer Interfaces Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

Watching from a distance: A robotically controlled laser and real-time subject tracking software for the study of conditioned predator/prey-like interactions.

Journal of neuroscience methods Jun 22, 2015
BACKGROUND: The physical distance between predator and prey is a primary determinant of behavior, yet few paradigms exist to study this reliably in rodents.
Software Brain-Computer Interfaces Rats, Inbred F344 Predatory Behavior Rats, Long-Evans Avoidance Learning Robotics Models, Biological Reward Lasers Animals Male Time Factors Rats
View on PubMed DOI

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 Task Performance and Analysis Event-Related Potentials, P300 Communication Devices for People with Disabilities Word Processing Models, Statistical Brain Mapping Natural Language Processing Electroencephalography Computer Simulation Reproducibility of Results Sensitivity and Specificity Humans Machine Learning Algorithms
View on PubMed DOI

Control of a Wheelchair in an Indoor Environment Based on a Brain-Computer Interface and Automated Navigation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 1, 2015
The concept of controlling a wheelchair using brain signals is promising. However, the continuous control of a wheelchair based on unstable and noisy electroencephalogram signals is unreliable and generates a significant mental burden for the user. A...
Adult Sensitivity and Specificity Male Ecosystem Machine Learning Female Reproducibility of Results Young Adult Brain-Computer Interfaces Equipment Failure Analysis Man-Machine Systems Wheelchairs Robotics Electroencephalography Equipment Design Pattern Recognition, Automated Humans Spatial Navigation
View on PubMed DOI

A neural network-based optimal spatial filter design method for motor imagery classification.

PloS one May 1, 2015
In this study, a novel spatial filter design method is introduced. Spatial filtering is an important processing step for feature extraction in motor imagery-based brain-computer interfaces. This paper introduces a new motor imagery signal classificat...
Imagery, Psychotherapy Algorithms Humans Electroencephalography Neural Networks, Computer Brain-Computer Interfaces Motor Activity
View on PubMed DOI

Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI.

Computational intelligence and neuroscience Apr 21, 2015
This paper presents an investigation aimed at drastically reducing the processing burden required by motor imagery brain-computer interface (BCI) systems based on electroencephalography (EEG). In this research, the focus has moved from the channel to...
Reproducibility of Results Fuzzy Logic Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Brain Waves Algorithms Brain
View on PubMed DOI

Kernel temporal differences for neural decoding.

Computational intelligence and neuroscience Mar 17, 2015
We study the feasibility and capability of the kernel temporal difference (KTD)(λ) algorithm for neural decoding. KTD(λ) is an online, kernel-based learning algorithm, which has been introduced to estimate value functions in reinforcement learning. T...
Artificial Intelligence Algorithms Models, Neurological Computer Simulation Brain-Computer Interfaces Reinforcement, Psychology
View on PubMed DOI

Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 11, 2015
Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize event-related potential (ERP) for intent detection. Specifically, for EEG-based BCI typing systems, different symbol presentation paradigms have been ut...
Pattern Recognition, Automated Brain-Computer Interfaces Evoked Potentials, Visual Task Performance and Analysis Photic Stimulation Communication Devices for People with Disabilities Word Processing Machine Learning Male Reproducibility of Results Models, Neurological Algorithms Adult Natural Language Processing Humans Language Sensitivity and Specificity Electroencephalography Female
View on PubMed DOI
Popular Topics
Recent Journals