Zobrazeno 1 - 10
of 700
pro vyhledávání: '"neural signal"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Motor imagery electroencephalography (EEG) analysis is crucial for the development of effective brain-computer interfaces (BCIs), yet it presents considerable challenges due to the complexity of the data and inter-subject variability. This p
Externí odkaz:
https://doaj.org/article/ad79cc91eb6c4b52bc1e32355d0252c5
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Anxiety disorders, prevalent mental health conditions, receive significant attention globally due to their intricate etiology and the suboptimal effectiveness of existing therapies. Research is increasingly recognizing that the genesis of anxiety inv
Externí odkaz:
https://doaj.org/article/723fee2d4a96495dbbb85d9f74e8aab0
Autor:
Liyuan Guo, Annika Weiße, Seyed Mohammad Ali Zeinolabedin, Franz Marcus Schüffny, Marco Stolba, Qier Ma, Zhuo Wang, Stefan Scholze, Andreas Dixius, Marc Berthel, Johannes Partzsch, Dennis Walter, Georg Ellguth, Sebastian Höppner, Richard George, Christian Mayr
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionMulti-channel electrophysiology systems for recording of neuronal activity face significant data throughput limitations, hampering real-time, data-informed experiments. These limitations impact both experimental neurobiology research and
Externí odkaz:
https://doaj.org/article/d5b9d0172f8041e9821fed4df683b1e5
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102664- (2024)
The analysis and detection of sleep stages continue to preoccupy researchers, particularly bioinformaticians and neurologists aiming to understand various aspects and functioning of the brain during sleep cycles. This understanding is crucial for dev
Externí odkaz:
https://doaj.org/article/a33741a276b6489e97628dfef80caa8d
Publikováno v:
eLife, Vol 12 (2024)
In motor cortex, behaviorally relevant neural responses are entangled with irrelevant signals, which complicates the study of encoding and decoding mechanisms. It remains unclear whether behaviorally irrelevant signals could conceal some critical tru
Externí odkaz:
https://doaj.org/article/5da003ca17e341e28e18fed42af71827
Publikováno v:
BMC Psychology, Vol 12, Iss 1, Pp 1-12 (2024)
Abstract Predicting attachment styles using AI algorithms remains relatively unexplored in scientific literature. This study addresses this gap by employing EEG data to evaluate the effectiveness of ROCKET-driven features versus classic features, bot
Externí odkaz:
https://doaj.org/article/8f81586a6d80495d9329b98e4baa5fcd
Autor:
Xiaomeng Yang, Xinzhu Xiong, Xufei Li, Qi Lian, Junming Zhu, Jianmin Zhang, Yu Qi, Yueming Wang
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 4230-4239 (2024)
Handwriting Brain-Computer Interfaces (BCIs) provides a promising communication avenue for individuals with paralysis. While English-based handwriting BCIs have achieved rapid typewriting with 26 lowercase letters (mostly containing one stroke each),
Externí odkaz:
https://doaj.org/article/7cb8811252b444608bcd1d6e97a8f52b
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 5, Iss 5, Pp 1249-1257 (2024)
Diagnosis of neural diseases can be performed using microsystems that record neural signals collected simultaneously after neural simulations. Headstage and homecage-based recording systems can be implanted on small freely-moving animals to test such
Externí odkaz:
https://doaj.org/article/7071a12619d94f248b32e057c8a56f56
Consistent spectro-spatial features of human ECoG successfully decode naturalistic behavioral states
Autor:
Abdulwahab Alasfour, Vikash Gilja
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
ObjectiveUnderstanding the neural correlates of naturalistic behavior is critical for extending and confirming the results obtained from trial-based experiments and designing generalizable brain-computer interfaces that can operate outside laboratory
Externí odkaz:
https://doaj.org/article/90b90850c83b42ff977d04e6613848f0
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 471-474 (2023)
This paper presents a software-based Python framework for developing future AI-enhanced end-to-end Brain-Computer-Interfaces (BCI). This framework contains modules from the emulated analogue front-end and from neural signal pre-processing for invasiv
Externí odkaz:
https://doaj.org/article/fc16ebc9802f4db68f40fc9d181431ef