Results 171 to 180 of about 207,444 (260)

Brain machine interface

Brain machine interface
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, EarlyView.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

A metamaterial unit-cell based patch radiator for brain-machine interface technology. [PDF]

Heliyon
Mainul EA, Hossain MF.
europepmc   +1 more source

Optic chiasmatic potential by endoscopically implanted skull base microinvasive biosensor: a brain-machine interface approach for anterior visual pathway assessment. [PDF]

Theranostics, 2022
Zhang Y, Lu S, Huang S, Yu Z, Xia T, Li M, Yang C, Mao Y, Xu B, Wang L, Xu L, Shi J, Zhu X, Zhu S, Zhang S, Qian H, Hu Y, Li W, Tu Y, Wu W.   +19 more
europepmc   +1 more source

Brain-Machine: Nuevas interfaces

, 2017
Despite the large number of discoveries in Neuroscience, great technological achievements and some renewed theories, the idea of a clear and stark contrast between mind and body is still widespread amongst scientists and common people. Nowadays, this interpretation of the human being (a clear legacy of a deeply consolidated Platonic- Cartesian culture)
openaire   +1 more source

Modification Strategies of Carbon‐Based Electrodes From Structural Regulation to Multifunctional Integration

Advanced Science, EarlyView.
Tracing the evolution from structural regulation to multifunctional integration, this paper systematically analyzes modification strategies for carbon‐based electrodes. It evaluates how element doping, surface functionalization, and composite material design affect the electrode performance, and offers perspectives on future applications and challenges
Yunlei Wang, Shitao Dou, Yifan Wu, Mingguang Wang, Taibin Wu   +4 more
wiley   +1 more source

NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions. [PDF]

AIP Adv
Ferro MD, Proctor CM, Gonzalez A, Jayabal S, Zhao E, Gagnon M, Slézia A, Pas J, Dijk G, Donahue MJ, Williamson A, Raymond J, Malliaras GG, Giocomo L, Melosh NA.   +14 more
europepmc   +1 more source

Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder. [PDF]

Nat Commun, 2022
Willsey MS, Nason-Tomaszewski SR, Ensel SR, Temmar H, Mender MJ, Costello JT, Patil PG, Chestek CA.   +7 more
europepmc   +1 more source

Nanozymes Integrated Biochips Toward Smart Detection System

Advanced Science, EarlyView.
This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen, Wang Zheng, Zhihui Zhang, Shenping Yu, Xinxin Hang, Han Wu, Xiao‐Wei Xiang, Wei Mu, Yanli Jiao, Zaizai Dong, Lingqian Chang   +10 more
wiley   +1 more source

Decoding motor plans using a closed-loop ultrasonic brain-machine interface. [PDF]

Nat Neurosci
Griggs WS, Norman SL, Deffieux T, Segura F, Osmanski BF, Chau G, Christopoulos V, Liu C, Tanter M, Shapiro MG, Andersen RA.   +10 more
europepmc   +1 more source