Results 161 to 170 of about 4,489,782 (294)

Tracking momentary fluctuations in human attention with a cognitive brain-machine interface. [PDF]

Commun Biol, 2022
Chinchani AM, Paliwal S, Ganesh S, Chandrasekhar V, Yu BM, Sridharan D.   +5 more
europepmc   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Conducting polymer nanowire brain-machine interface systems and methods

, 2006
The present invention relates to conducting polymer nanowires and their use in a brain-machine interface which is secure, robust and minimally invasive. In accordance with a first aspect of the present invention, a vascular-based brain-machine interface ...
Hunter, IW, Ruddy, Bryan, Llinas, RR
core  

Exploring user perspectives on a robotic arm with brain-machine interface: A qualitative focus group study. [PDF]

Medicine (Baltimore), 2022
Kim MY, Park JY, Leigh JH, Kim YJ, Nam HS, Seo HG, Oh BM, Kim S, Bang MS.   +8 more
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Synchronous brain machine interface design using focused time delay networks

, 2012
International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview ...
Ramachandran, Nagarajan, Prof. Dr., Sazali, Yaacob, Prof. Dr., Abdul Hamid, Adom, Assoc. Prof. Dr., Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., Hema, Chengalvarayan Radhakrishnamurthy   +4 more
core  

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

Advanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang, Max Shotbolt, Mostafa Abdel‐Mottaleb, Shawnus Chen, Victoria Andre, Jieyuan Tian, Jonathan Shulgach, Max Murphy, Brian Noga, Ping Liang, Darcy Griffin, Douglas Weber, Marta Pardo, Salvador Pane, Sakhrat Khizroev   +14 more
wiley   +1 more source

Cyborg-swarm cooperation and game via affective-based brain-machine interface. [PDF]

Natl Sci Rev
Chen Z, Zhang L, Chen G, Liu H, Wang Z, Zhao X, Guo S, Zhao T, Sun M, Liang W, Qin L, Zhang M, Liu L, Wang W.   +13 more
europepmc   +1 more source

Shared Control of Bimanual Robotic Limbs With a Brain-Machine Interface for Self-Feeding. [PDF]

Front Neurorobot, 2022
Handelman DA, Osborn LE, Thomas TM, Badger AR, Thompson M, Nickl RW, Anaya MA, Wormley JM, Cantarero GL, McMullen D, Crone NE, Wester B, Celnik PA, Fifer MS, Tenore FV.   +14 more
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source