Sign Up to like & get
recommendations!
0
Published in 2021 at "Current opinion in biotechnology"
DOI: 10.1016/j.copbio.2021.07.020
Abstract: While early neural interfaces consisted of rigid, monolithic probes, recent implantable technologies include meshes, gels, and threads that imitate various properties of the neural tissue itself. Such mimicry brings new capabilities to the traditional electrophysiology…
read more here.
Keywords:
brain architecture;
neural interfaces;
learning brain;
bioinspired strategies ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbaa310
Abstract: In order to reach precision medicine and improve patients' quality of life, machine learning is increasingly used in medicine. Brain disorders are often complex and heterogeneous, and several modalities such as demographic, clinical, imaging, genetics…
read more here.
Keywords:
medicine;
processing;
learning brain;
deep learning ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2019 at "IEEE Pulse"
DOI: 10.1109/mpuls.2019.2923888
Abstract: Notice to readersThis article is available in both Japanese and Spanish languages on the IEEE Pulse website: https://pulse.embs.org.
read more here.
Keywords:
brain stimulation;
brain deep;
learning brain;
deep learning ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "Bioengineering"
DOI: 10.3390/bioengineering10040397
Abstract: Background: Magnetic Resonance Imaging (MRI) data collected from multiple centres can be heterogeneous due to factors such as the scanner used and the site location. To reduce this heterogeneity, the data needs to be harmonised.…
read more here.
Keywords:
review;
machine learning;
mri;
learning brain ... See more keywords