[HTML][HTML] A new frontier: The convergence of nanotechnology, brain machine interfaces, and artificial intelligence

GA Silva - Frontiers in neuroscience, 2018 - frontiersin.org
… With this process complete we close the loop: information is provided to the machine
dynamically change the output of the brain machine interface and how it interacts with the external …

[HTML][HTML] BrainOS: a novel artificial brain-alike automatic machine learning framework

N Howard, N Chouikhi, A Adeel, K Dial… - Frontiers in …, 2020 - frontiersin.org
… This paper explores some of the principles of the brain that … Attracted by the strength of the
human brain's ability to reason and … The system's architecture and operation is inspired by the

[HTML][HTML] Using human brain activity to guide machine learning

RC Fong, WJ Scheirer, DD Cox - Scientific reports, 2018 - nature.com
… measures of the internal representations employed by the brain to guide machine learning.
… subjects, in this work, we only use the brain activity from one subject out of the original four. …

Brainmachine interfaces from motor to mood

MM Shanechi - Nature neuroscience, 2019 - nature.com
… device (machine), and in some cases write in neural information by stimulating the brain.
a, A motor BMI creates a closed-loop control system in which the brain is the controller and …

[图书][B] How we learn: Why brains learn better than any machine... for now

S Dehaene - 2021 - books.google.com
New machines with these properties are beginning to emerge, and their … brains in the near
future. According to an emerging theory, the reason that our brain is still superior to machines

Brainmachine interfaces: the role of the neurosurgeon

A Chari, S Budhdeo, R Sparks, DG Barone… - World Neurosurgery, 2021 - Elsevier
… coming years as technological innovations are translated to the clinical … as to the best choice
of treatment. We also possess the skills and expertise to implant these new devices into the

Brain-machine interfaces: from basic science to neuroprostheses and neurorehabilitation

MA Lebedev, MAL Nicolelis - Physiological reviews, 2017 - journals.physiology.org
… directly linking the brains with machines date back to the early 1960s, BMI research only
took off in earnest at the end of the 1990s, when this approach became intimately linked to new

Advanced machine-learning methods for brain-computer interfacing

Z Lv, L Qiao, Q Wang, F Piccialli - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
… to the brain so that the brain can adjust the control strategy in … the attenuation effect of the
skull on the brain signal and the … on the electromagnetic waves emitted by the neurons, the

Special report: Can we copy the brain?-What intelligent machines need to learn from the Neocortex

J Hawkins - IEEE Spectrum, 2017 - ieeexplore.ieee.org
… study the neocortex, the brain’s largest component and the one most responsible for intelligence.
Our goal is to understand how it works and to identify the … into future thinking machines. …

[HTML][HTML] From novel technology to novel applications: Comment on “An integrated brain-machine interface platform with thousands of channels” by Elon Musk and …

AN Pisarchik, VA Maksimenko, AE Hramov - Journal of medical Internet …, 2019 - jmir.org
… Nowadays, the brain-computer interface and brain-machine … At the same time, the brain-machine
interface implementation … and the problems of biocompatibility. In this context, …