Brain-Computer Interface

A brain-computer interface, also known as a brain-machine interface, is a bi-directional communication pathway between an external device and a wired brain. Here is the latest research on this topic.

September 16, 2020

Correlation of Light Microscopic Findings With Transmission Electron Microscopy Within a Vascular Occlusion Device

Cardiovascular Pathology : the Official Journal of the Society for Cardiovascular Pathology
A Ginn-HedmanF J Clubb
September 15, 2020
Open Access

A Computationally Efficient Method for Hybrid EEG-fNIRS BCI Based on the Pearson Correlation

BioMed Research International
Mustafa A H HasanDeepti Mishra
September 10, 2020
Open Access

Predicting Motor Imagery Performance From Resting-State EEG Using Dynamic Causal Modeling

Frontiers in Human Neuroscience
Minji LeeSeong-Whan Lee
September 13, 2020
Preprint
Open Access

Improved mTBI outcomes with a BCI Amplified CRT Training: A retrospective chart review

MedRxiv : the Preprint Server for Health Sciences
C. T. CripeT. Eagan
September 9, 2020
Preprint
Open Access

Blaming blunders on the brain: can indifferent choices be driven by range adaptation or synaptic plasticity?

BioRxiv : the Preprint Server for Biology
J. Brochard, Jean Daunizeau
September 17, 2020

The RNS System: brain-responsive neurostimulation for the treatment of epilepsy

Expert Review of Medical Devices
Beata Jarosiewicz, Martha Morrell
September 9, 2020
Preprint
Open Access

Information-based signal selection improves decoding of attention spotlight from multi-units & local field potentials and enhances correlation with behavior.

BioRxiv : the Preprint Server for Biology
C. De Sousa FerreiraSuliann Ben Hamed
September 16, 2020

State-space optimal feedback control of optogenetically driven neural activity

Journal of Neural Engineering
Michael F BolusGarrett B Stanley
September 10, 2020
Open Access

Analyzing and Decoding Natural Reach-and-Grasp Actions Using Gel, Water and Dry EEG Systems

Frontiers in Neuroscience
Andreas SchwarzGernot R Müller-Putz
September 10, 2020
Open Access

Decoding the covert shift of spatial attention from electroencephalographic signals permits reliable control of a brain-computer interface

Journal of Neural Engineering
Christoph ReichertHermann Hinrichs
September 6, 2020
Open Access

Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson's disease

NeuroImage. Clinical
Sebastián Castaño-CandamilMichael Tangermann
September 4, 2020
Review
Open Access

New technologies and Amyotrophic Lateral Sclerosis - Which step forward rushed by the COVID-19 pandemic?

Journal of the Neurological Sciences
Susana PintoVincenzo Silani
September 11, 2020

Structural mechanism of cGAS inhibition by the nucleosome

Nature
Ganesh R PathareAndrea Ablasser
September 15, 2020

Reducing Calibration Efforts in RSVP Tasks with Multisource Adversarial Domain Adaptation

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
Wei WeiHuiguang He
September 16, 2020

A Multi-Scale Activity Transition Network for Data Translation in EEG Signals Decoding

IEEE/ACM Transactions on Computational Biology and Bioinformatics
Bo LinJianwei Yin
September 11, 2020
Review
Open Access

EEG-Based BCI Emotion Recognition: A Survey

Sensors
Edgar P Torres PSang Guun Yoo
September 9, 2020

Plug-and-play control of a brain-computer interface through neural map stabilization

Nature Biotechnology
Daniel B SilversmithKarunesh Ganguly
September 7, 2020
Preprint
Open Access

Nonlinear decoding of natural images from large-scale primate retinal ganglion recordings

BioRxiv : the Preprint Server for Biology
Young Joon KimL. Paninski

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