Decoding brain dynamics: an interview with Jose Principe on Brain-Machine Interfaces
Clicks: 1
ID: 313793
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #117 of 267 articles by views in national science review
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 267 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Jose's perspectives on the future of BMI and the importance of recognizing the dynamic nature of brain activity in advancing our understanding of neural function.
| Reference Key |
openalex_W7160891371
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Yue Wang |
| Journal | national science review |
| Year | 2026 |
| DOI |
10.1093/nsr/nwag262
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.