Developments in neuroethics and bioethics, Год журнала: 2024, Номер unknown, С. xix - xxv
Опубликована: Янв. 1, 2024
Язык: Английский
Brain stimulation, Год журнала: 2025, Номер unknown
Опубликована: Май 1, 2025
Hemispheric asymmetry is a fundamental feature of the human brain. Numerous studies on auditory functions have shown both structural and functional differences between left right cortex in superior temporal gyrus (STG). However, evidence for this using direct electrical stimulation (DES) - powerful method to causally inform about localization brain function surprisingly weak. To provide comprehensive report effects elicited by STG. We reported effects' probability occurrence (number hallucinations or illusions out total number stimulations) as hemispheres anatomical regions large sample patients (n=109). showed that eliciting positive maximal around primary cortex, with hemispheric dominance CONCLUSIONS: Our results show has specific organization, early leading higher proportion evoked effects. Such cortical hierarchy may represent unique compared other sensory cortices.
Язык: Английский
Процитировано
0
Frontiers in Psychology, Год журнала: 2023, Номер 14
Опубликована: Ноя. 14, 2023
OPINION article Front. Psychol., 14 November 2023Sec. Forensic and Legal Psychology Volume - 2023 | https://doi.org/10.3389/fpsyg.2023.1290478
Язык: Английский
Процитировано
5
AJOB Neuroscience, Год журнала: 2024, Номер 15(2), С. 142 - 144
Опубликована: Апрель 2, 2024
Язык: Английский
Процитировано
1
Communications Biology, Год журнала: 2024, Номер 7(1)
Опубликована: Май 18, 2024
Abstract Dynamic mode (DM) decomposition decomposes spatiotemporal signals into basic oscillatory components (DMs). DMs can improve the accuracy of neural decoding when used with nonlinear Grassmann kernel, compared to conventional power features. However, such kernel-based machine learning algorithms have three limitations: large computational time preventing real-time application, incompatibility non-kernel algorithms, and low interpretability. Here, we propose a mapping function corresponding kernel that explicitly transforms spatial DM (sDM) features, which be in any algorithm. Using electrocorticographic recorded during various movement visual perception tasks, sDM features were shown methods. Furthermore, informative for showed similar characteristics high-γ signals, but higher trial-to-trial reproducibility. The proposed enable fast, accurate, interpretable decoding.
Язык: Английский
Процитировано
1
New Ideas in Psychology, Год журнала: 2024, Номер 74, С. 101095 - 101095
Опубликована: Май 20, 2024
Язык: Английский
Процитировано
1
European Conference on Cyber Warfare and Security, Год журнала: 2024, Номер 23(1), С. 265 - 271
Опубликована: Июнь 21, 2024
The Brain-Computer Interface (BCI) is a rapidly evolving technology set to revolutionize our perception of the Internet Things (IoT). BCI facilitates direct communication between brain and external devices, enabling control or interaction devices without physical intervention. becoming more sophisticated, allowing third-party software embedded in emerging technologies such as Virtual Reality (VR), Augmented (AR), Mixed (MR) access sensors that read activity. These can be grouped under umbrella term Extended (XR). While disrupting way data collected, interpreted, utilized within IoT networks, it important consider potential privacy security threats poses. Previous not-so-recent cybersecurity research only scratched surface terms aspects then-emerging neural brain-connecting technologies. However, recent advances reconstructing language, music tracks, imagery solely based on decoding signals pose significant risk mental invasion abuse. In this paper, we present an analysis posed by integration with VR, AR, MR. We analyze involvement major technological players shaping XR advancements, examining for these create detailed user profiles reshape monetization ever-more-aggressive data-driven economy. also outline position view are not related profiling per se, example, attacks (e.g., ``brain rewriting'' attacks) facilitated potentially vulnerable XR-BCI software. paper concludes emphasizing need further implications inviting deeper exploration topic beyond theoretical papers toward applied experimental setup.
Язык: Английский
Процитировано
1
IEEE Transactions on Artificial Intelligence, Год журнала: 2024, Номер 6(5), С. 1080 - 1099
Опубликована: Дек. 16, 2024
Язык: Английский
Процитировано
1
International Journal of Intelligent Systems, Год журнала: 2024, Номер 2024(1)
Опубликована: Янв. 1, 2024
Music is an important way for emotion expression, and traditional manual composition requires a solid knowledge of music theory. It needed to find simple but accurate method express personal emotions in creation. In this paper, we propose implement EEG signal‐driven real‐time emotional generation system generating exclusive music. To achieve recognition, the proposed can obtain model suitable newcomer quickly through short‐time calibration. And then, both recognized state structure features are fed into network as conditional inputs generate which consistent with user’s real expression. recognition module, optimized style transfer mapping algorithm based on simplified parameter optimization introduce strategy instance selection method. The module calibrate new user short‐time, achieves purpose recognition. accuracies have been improved 86.78% 77.68%, computing time just 7 s 10 public SEED self‐collected datasets, respectively. embed it our system, breaks limitation existing systems by calling third‐party software realizes controllability consistency generated actual one experimental results show that fluent, complete, results.
Язык: Английский
Процитировано
1
Lecture notes in business information processing, Год журнала: 2024, Номер unknown, С. 166 - 185
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0
Cognitive Affective & Behavioral Neuroscience, Год журнала: 2024, Номер 24(5), С. 912 - 930
Опубликована: Июль 2, 2024
Язык: Английский
Процитировано
0