[图书][B] Introduction to nanoscience and nanotechnology

GL Hornyak, HF Tibbals, J Dutta, JJ Moore - 2008 - api.taylorfrancis.com
The maturation of nanotechnology has revealed it to be a unique and distinct discipline
rather than a specialization within a larger field. Its textbook cannot afford to be a chemistry …

Design choices for next-generation neurotechnology can impact motion artifact in electrophysiological and fast-scan cyclic voltammetry measurements

EN Nicolai, NJ Michelson, ML Settell, SA Hara… - Micromachines, 2018 - mdpi.com
Implantable devices to measure neurochemical or electrical activity from the brain are
mainstays of neuroscience research and have become increasingly utilized as enabling …

Kernel Reinforcement Learning-assisted Adaptive Decoder Facilitates Stable and Continuous Brain Control Tasks

X Zhang, S Chen, Y Wang - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Brain-Machine Interfaces (BMIs) assist paralyzed people to brain control (BC) the neuro-
prosthesis continuously moving in space. During the BC process, the subject imagines the …

Quantitative Modeling on Nonstationary Neural Spikes: From Reinforcement Learning to Point Process

X Zhang, S Chen, Y Wang - Handbook of Neuroengineering, 2023 - Springer
Brain-machine interface (BMI) allows disabled people to use their neural signals to control
the external device accomplishing their movement intents. However, the brain keeps …

Applying best practices from digital control systems to BMI implementation

C Matlack, C Moritz, H Chizeck - 2012 Annual International …, 2012 - ieeexplore.ieee.org
Many brain-machine interface (BMI) algorithms, such as the population vector decoder, must
estimate neural spike rates before transforming this information into an external output …

Adaptation for Brain-Computer Interfaces

CB Matlack - 2014 - digital.lib.washington.edu
Brain-computer interface (BCI) technology is evolving rapidly, and shows promise for
restoring and even augmenting dextrous control of movement. Recent studies have …

[PDF][PDF] Tracking times in temporal patterns embodied in intra-cortical data for controlling neural prosthesis an animal simulation study

A Kifouche, A Guessoum - International Journal of Electrical and …, 2020 - academia.edu
Brain-machines capture brain signals in order to restore communication and movement to
disabled people who suffer from brain palsy or motor disorders. In brain regions, the …

Avoiding Side Effects and Artifacts of Vagus Nerve Stimulation

EN Nicolai - 2023 - search.proquest.com
Vagus nerve stimulation (VNS) is a neuromodulation therapy that has been demonstrated to
have remarkable outcomes for some patients and some of its many proposed indications …

[PDF][PDF] Co-adaptivity in unsupervised adaptive brain-computer interfacing: a simulation approach

M Spüler, W Rosenstiel, M Bogdan - COGNITIVE 2012, The Fourth …, 2012 - Citeseer
A Brain-Computer Interface (BCI) allows a user to control a computer by pure brain activity.
Due to the nonstationarity of the recorded brain signals, the BCI performance tends to …

Decoding hand trajectory from primary motor cortex ECoG using time delay neural network

A Kifouche, V Vigneron, MB Shamsollahi… - … Applications of Neural …, 2014 - Springer
Brain-machines-also termed neural prostheses, could potentially increase substantially the
quality of life for people suffering from motor disorders or even brain palsy. In this paper we …