Everyone can learn
Brain-machine interfaces: past, present and future.
Mentions
Extended reach
Total likes
Video views
Mentions per month
May 2019 – Oct 2025Where it's discussed
-
X / Twitter4 posts
-
Blogs3 articles
-
YouTube2 videos
-
Facebook2 posts
-
News2 articles
AI synopsis
What people are saying
Discussions demonstrate strong support and interest in BMIs, citing Lebedev and Nicolelis's pioneering work, with mentions of their roles and contributions, which convey the article's importance. The tone suggests admiration and curiosity, emphasizing the potential breakthroughs and ongoing challenges in the field.
Most comments express support and recognition for the significance of Lebedev and Nicolelis's work, indicating agreement with the importance of past and future developments in BMIs.
Comments show a high level of curiosity and interest, especially with mentions of notable authors and the potential for advances in neural technology.
Posts reflect active engagement by highlighting the authors and linking to broader discussions on neuroscience, but lack detailed critique or comprehensive analysis.
The discussions indicate that the publication is influential within the neuroscience community, as evidenced by acknowledgments from notable figures and references to the significance of the research.
Abstract in brief
- Brain-machine interfaces (BMIs) have evolved from initial experiments showing that neural signals can control robotic limbs to advanced systems capable of translating neuronal activity into movements for restoring limb mobility.
- Current challenges include developing fully implantable, biocompatible devices, improving real-time data processing, and creating sensory feedback methods so the brain can perceive and control prosthetic devices naturally.
- Future advancements aim to produce adaptive, prosthetic limbs that can be operated directly by brain signals and provide sensations, making them function and feel more like real human limbs.]
Top posts
Most liked on X and BlueskyMikhail A. Lebedev, @LebedevMikhailA coauthor of “Brain–machine interfaces: past, present and future”, joins our Neuroscience Board. https://t.co/8jdKsc8X8o https://t.co/y3mH7tjV0J
RT @LifeboatHQ: Mikhail A. Lebedev, @LebedevMikhailA coauthor of “Brain–machine interfaces: past, present and future”, joins our Neuroscien…
Lebedev, M. A., & Nicolelis, M. A. L. (2006). Brain–machine interfaces: past, present and future. Trends in Neurosciences, 29(9), 536–546. https://t.co/hgQqob0AgM
All mentions
Advances in Multimodal Human-Computer Interaction in Spacecraft
Discover how astronauts utilize advanced multimodal human-computer interaction systems, including voice, gesture, and brain interfaces, to operate spacecraft and perform repairs efficiently and safely.
Brain-Machine Interface Control and Brain-to-Brain Communication Advances
This video explores brain-machine interfaces for controlling devices and direct brain-to-brain communication innovations, highlighting their impact on neuroscience, medicine, and future applications.
Lebedev, M. A., & Nicolelis, M. A. L. (2006). Brain–machine interfaces: past, present and future. Trends in Neurosciences, 29(9), 536–546. https://t.co/hgQqob0AgM
Everyone can learn
RT @LifeboatHQ: Mikhail A. Lebedev, @LebedevMikhailA coauthor of “Brain–machine interfaces: past, present and future”, joins our Neuroscien…
Mikhail A. Lebedev, @LebedevMikhailA coauthor of “Brain–machine interfaces: past, present and future”, joins our Neuroscience Board. https://t.co/8jdKsc8X8o https://t.co/y3mH7tjV0J
SS
LF
JH