How does artificial intelligence contribute to iEEG research?
Artificial intelligence (AI) is a fast-growing field focused on modeling and machine
implementation of various cognitive functions with an increasing number of applications in …
implementation of various cognitive functions with an increasing number of applications in …
Enhancing DNN Models for EEG/ECoG BCI With a Novel Data-Driven Offline Optimization Method
A Tragoudaras, C Antoniadis, Y Massoud - IEEE Access, 2023 - ieeexplore.ieee.org
A better understanding of ElectroEncephaloGraphy (EEG) and ElectroCorticoGram (ECoG)
signals would get us closer to comprehending brain functionality, creating new avenues for …
signals would get us closer to comprehending brain functionality, creating new avenues for …
Electroencephalogram-Based Facial Gesture Recognition Using Self-Organizing Map
T Kawaguchi, K Ono, H Hikawa - Sensors, 2024 - mdpi.com
Brain–computer interfaces (BCIs) allow information to be transmitted directly from the human
brain to a computer, enhancing the ability of human brain activity to interact with the …
brain to a computer, enhancing the ability of human brain activity to interact with the …
Comparing fingers and gestures for bci control using an optimized classical machine learning decoder
Severe impairment of the central motor network can result in loss of motor function, clinically
recognized as Locked-in Syndrome. Advances in Brain-Computer Interfaces offer a …
recognized as Locked-in Syndrome. Advances in Brain-Computer Interfaces offer a …
[PDF][PDF] A Comprehensive Review on Brain Computer Interface
DA Kannur - papers.ssrn.com
Abstract Brain Computer Interface (BCI) technologies allow direct connection between the
activity of the brain and the activity of an external device. Communication is established as a …
activity of the brain and the activity of an external device. Communication is established as a …