AIMC Topic: Brain-Computer Interfaces
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Quantitative EEG Evaluation During Robot-Assisted Foot Movement.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Nov 9, 2016
Passiveand imagined limbmovements induce changes in cerebral oscillatory activity. Central modulatory effects play a role in plastic changes, and are of uttermost importance in rehabilitation. This has extensively been studied for upper limb, but les...
The Si elegans project at the interface of experimental and computational Caenorhabditis elegans neurobiology and behavior.
Journal of neural engineering
Oct 14, 2016
OBJECTIVE: In light of recent progress in mapping neural function to behavior, we briefly and selectively review past and present endeavors to reveal and reconstruct nervous system function in Caenorhabditis elegans through simulation.
Brain-Computer Interface for Control of Wheelchair Using Fuzzy Neural Networks.
BioMed research international
Sep 29, 2016
The design of brain-computer interface for the wheelchair for physically disabled people is presented. The design of the proposed system is based on receiving, processing, and classification of the electroencephalographic (EEG) signals and then perfo...
Maze learning by a hybrid brain-computer system.
Scientific reports
Sep 13, 2016
The combination of biological and artificial intelligence is particularly driven by two major strands of research: one involves the control of mechanical, usually prosthetic, devices by conscious biological subjects, whereas the other involves the co...
A Magnetic Resonance Compatible Soft Wearable Robotic Glove for Hand Rehabilitation and Brain Imaging.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 25, 2016
In this paper, we present the design, fabrication and evaluation of a soft wearable robotic glove, which can be used with functional Magnetic Resonance imaging (fMRI) during the hand rehabilitation and task specific training. The soft wearable roboti...
A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 17, 2016
Motor imagery classification is an important topic in brain-computer interface (BCI) research that enables the recognition of a subject's intension to, e.g., implement prosthesis control. The brain dynamics of motor imagery are usually measured by el...
Intention
Pattern Recognition, Automated
Brain-Computer Interfaces
Movement
Sensitivity and Specificity
Brain Mapping
Electroencephalography
Signal Processing, Computer-Assisted
Fourier Analysis
Evoked Potentials, Motor
Motor Cortex
Imagination
Humans
Neural Networks, Computer
Machine Learning
Algorithms
Reproducibility of Results
Thought-Controlled Nanoscale Robots in a Living Host.
PloS one
Aug 15, 2016
We report a new type of brain-machine interface enabling a human operator to control nanometer-size robots inside a living animal by brain activity. Recorded EEG patterns are recognized online by an algorithm, which in turn controls the state of an e...
The Role of Audio-Visual Feedback in a Thought-Based Control of a Humanoid Robot: A BCI Study in Healthy and Spinal Cord Injured People.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Aug 3, 2016
The efficient control of our body and successful interaction with the environment are possible through the integration of multisensory information. Brain-computer interface (BCI) may allow people with sensorimotor disorders to actively interact in th...
Anticipation: Beyond synthetic biology and cognitive robotics.
Bio Systems
Aug 2, 2016
The aim of this paper is to propose that current robotic technologies cannot have intentional states any more than is feasible within the sensorimotor variant of embodied cognition. It argues that anticipation is an emerging concept that can provide ...
Driving a Semiautonomous Mobile Robotic Car Controlled by an SSVEP-Based BCI.
Computational intelligence and neuroscience
Jul 26, 2016
Brain-computer interfaces represent a range of acknowledged technologies that translate brain activity into computer commands. The aim of our research is to develop and evaluate a BCI control application for certain assistive technologies that can be...
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