Decoding brain dynamics: an interview with Jose Principe on Brain-Machine Interfaces

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.

Authors

Institutions

Publication Details

Journal
National Science Review
Published
2026-05-11
DOI
https://doi.org/10.1093/nsr/nwag262
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decoding brain dynamics: an interview with Jose Principe on Brain-Machine Interfaces

Yue Wang
National Science Review
EEG and Brain-Computer Interfaces
article

Decoding brain dynamics: an interview with Jose Principe on Brain-Machine Interfaces

Yue Wang
article en

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.

National Science Review
Hong Kong University of Science and Technology (HK), University of Hong Kong (HK)
Openalex Percentile: Top 5%
EEG and Brain-Computer Interfaces
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Decoding brain dynamics: an interview with Jose Principe on Brain-Machine Interfaces — Yue Wang · National Science Review (2026) | TGRS Research Map | TGRS