Results 11 to 20 of about 207,295 (281)

Design and Evaluation of a Potential Non-Invasive Neurostimulation Strategy for Treating Persistent Anosmia in Post-COVID-19 Patients

Sensors, 2023
A new pandemic was declared at the end of 2019 because of coronavirus disease 2019 (COVID-19). One of the effects of COVID-19 infection is anosmia (i.e., a loss of smell).
Desirée I. Gracia, Mario Ortiz, Tatiana Candela, Eduardo Iáñez, Rosa M. Sánchez, Carmina Díaz, José M. Azorín   +6 more
doaj   +1 more source

Brain–machine interface [PDF]

Proceedings of the National Academy of Sciences, 2013
In a world awash in technology, the line between humans and machines has begun to blur, our thoughts and actions increasingly shaped and substantiated by machines. Perhaps nowhere is the blurring more evident than in a scientific endeavor called “neural interfacing,” a term for technology aimed at bridging the workings of machines and the human brain ...
openaire   +2 more sources

Brain Machine Interface

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract— Brain Machine Interface is also known as ‘A brain-computer inteface’.A brain-computer interface (BCI), sometimes called a direct neural interface or a brain-machine interface, is a direct communication pathway between a human or animal brain and an external device.
Ajinkya Sasne, Ashutosh Banait, Apurva Raut, Vishal Raut   +3 more
openaire   +1 more source

State Variables of the Arm May Be Encoded by Single Neuron Activity in the Monkey Motor Cortex [PDF]

, 2016
Revealing the type of information encoded by neurons activity in the motor cortex is essential not only for understanding the mechanism of motion control but also for developing a brain-machine interface.
Eizo Miyashita, Yutaka Sakaguchi
core   +2 more sources

Brain-to-brain communication during musical improvisation: a performance case study [version 4; peer review: 1 approved, 2 approved with reservations]

F1000Research, 2023
Understanding and predicting others' actions in ecological settings is an important research goal in social neuroscience. Here, we deployed a mobile brain-body imaging (MoBI) methodology to analyze inter-brain communication between professional musicians
Mauricio A. Ramírez-Moreno, José L. Contreras-Vidal, Dan Gelok, Guillermo Reza, Girija Chatufale, Woody Witt, Jesús G. Cruz-Garza, Akanksha Acharya   +7 more
doaj   +1 more source

Brain-to-brain communication during musical improvisation: a performance case study [version 3; peer review: 1 approved, 2 approved with reservations]

F1000Research, 2023
Understanding and predicting others' actions in ecological settings is an important research goal in social neuroscience. Here, we deployed a mobile brain-body imaging (MoBI) methodology to analyze inter-brain communication between professional musicians
Mauricio A. Ramírez-Moreno, José L. Contreras-Vidal, Dan Gelok, Guillermo Reza, Girija Chatufale, Woody Witt, Jesús G. Cruz-Garza, Akanksha Acharya   +7 more
doaj   +1 more source

Artificial Brains and Hybrid Minds [PDF]

, 2017
The paper develops two related thought experiments exploring variations on an ‘animat’ theme. Animats are hybrid devices with both artificial and biological components.
A Clark, A Turing, D Chalmers, D Dennett, D Dennett, D Dennett, J Fodor, J Searle, N Block, N Block, P Churchland, P Schweizer, P Schweizer, PN Johnson-Laird, R French, R Jackendoff, R Rupert, S Franklin, S Harnad, WG Lycan   +19 more
core   +3 more sources

Characterization of the Stages of Creative Writing With Mobile EEG Using Generalized Partial Directed Coherence

Frontiers in Human Neuroscience, 2020
Two stages of the creative writing process were characterized through mobile scalp electroencephalography (EEG) in a 16-week creative writing workshop. Portable dry EEG systems (four channels: TP09, AF07, AF08, TP10) with synchronized head acceleration ...
Jesus G. Cruz-Garza, Akshay Sujatha Ravindran, Anastasiya E. Kopteva, Cristina Rivera Garza, Cristina Rivera Garza, Jose L. Contreras-Vidal   +5 more
doaj   +1 more source

An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth

Scientific Reports, 2023
Recent advancements in machine learning and deep learning (DL) based neural decoders have significantly improved decoding capabilities using scalp electroencephalography (EEG). However, the interpretability of DL models remains an under-explored area. In
Akshay Sujatha Ravindran, Jose Contreras-Vidal   +1 more
doaj   +1 more source

Improving Brain–Machine Interface Performance by Decoding Intended Future Movements [PDF]

, 2013
Objective. A brain–machine interface (BMI) records neural signals in real time from a subject\u27s brain, interprets them as motor commands, and reroutes them to a device such as a robotic arm, so as to restore lost motor function.
Fagg, Andrew H., Hatsopoulos, Nicholas G., Suminski, Aaron J., Willett, Francis R.   +3 more
core   +2 more sources