Abstract As the integration of artificial intelligence (AI) into our daily lives and educational environments becomes increasingly prevalent, it is necessary to understand the way in which these technologies impact cognitive functions. AI models such as ChatGPT hold immense promise for advancing the field of education, making it easier than ever for educators to support…
Brain‐X Template
Write in a clean editor, then format for Brain‐X in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Brain‐X format
Brain‐X is a peer-reviewed journal published by Wiley, covering Functional Brain Connectivity Studies, EEG and Brain-Computer Interfaces, Diverse Scientific and Economic Studies.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Brain‐X 12 (3): 45–58.
Formats any DOI in Brain‐X style. No sign-up. |
| Publishes research in | Functional Brain Connectivity Studies EEG and Brain-Computer Interfaces Diverse Scientific and Economic Studies Human auditory perception and evaluation Educational Robotics and Engineering |
| ISSN | 2835-3153 |
| Citation impact (2-yr) | 4.02 |
| h-index | 15 |
| i10-index | 22 |
| Total citations | 833 |
| Open access | Yes |
| Top institutions publishing here | Peking University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Brain‐X per year
Citation impact of Brain‐X by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Brain‐X
Abstract This comprehensive review aims to clarify the growing impact of Transformer‐based models in the fields of neuroscience, neurology, and psychiatry. Originally developed as a solution for analyzing sequential data, the Transformer architecture has evolved to effectively capture complex spatiotemporal relationships and long‐range dependencies that are common in biomedical data. Its adaptability and effectiveness in…
Abstract Sensorineural hearing loss (SNHL) is a common otologic condition caused by damage to hair cells and spiral ganglion neurons that affects transmission pathways. Most of these cells cannot be regenerated, and there has been no breakthrough in regeneration techniques for inner ear cells. SNHL has a high incidence rate and can cause a variety…
Abstract Owing to their superior capabilities and advanced achievements, Transformers have gradually attracted attention with regard to understanding complex brain processing mechanisms. This study aims to comprehensively review and discuss the applications of Transformers in brain sciences. First, we present a brief introduction of the critical architecture of Transformers. Then, we overview and analyze their…
Abstract Inspired by biological neural networks, the fabrication of artificial neuromorphic systems with multimodal perception capacity shows promises in overcoming the “von Neumann bottleneck” and takes advantage of the efficient perception and computation of diverse types of signals. Here, we combine a triboelectric nanogenerator with an α ‐phase indium selenide ( α ‐In 2 Se…