68-channel neural signal processing system-on-chip with integrated feature extraction, compression, and hardware accelerators for neuroprosthetics in 22 nm FDSOI.

Guo L, Weiße A, Zeinolabedin SMA, Schüffny FM, Stolba M, Ma Q, Wang Z, Scholze S, Dixius A, Berthel M, Partzsch J, Walter D, Ellguth G, Höppner S, George R, Mayr C.

Open source

DOI
10.3389/fnins.2024.1432750
Published
2024-10-23
Container
Front Neurosci
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3389/fnins.2024.1432750,
  title = {68-channel neural signal processing system-on-chip with integrated feature extraction, compression, and hardware accelerators for neuroprosthetics in 22 nm FDSOI.},
  author = {Guo L and  Weiße A and  Zeinolabedin SMA and  Schüffny FM and  Stolba M and  Ma Q and  Wang Z and  Scholze S and  Dixius A and  Berthel M and  Partzsch J and  Walter D and  Ellguth G and  Höppner S and  George R and  Mayr C.},
  year = {2024},
  journal = {Front Neurosci},
  doi = {10.3389/fnins.2024.1432750},
  url = {https://doi.org/10.3389/fnins.2024.1432750}
}

RIS

TY  - JOUR
TI  - 68-channel neural signal processing system-on-chip with integrated feature extraction, compression, and hardware accelerators for neuroprosthetics in 22 nm FDSOI.
AU  - Guo L
AU  -  Weiße A
AU  -  Zeinolabedin SMA
AU  -  Schüffny FM
AU  -  Stolba M
AU  -  Ma Q
AU  -  Wang Z
AU  -  Scholze S
AU  -  Dixius A
AU  -  Berthel M
AU  -  Partzsch J
AU  -  Walter D
AU  -  Ellguth G
AU  -  Höppner S
AU  -  George R
AU  -  Mayr C.
PY  - 2024
JO  - Front Neurosci
DO  - 10.3389/fnins.2024.1432750
UR  - https://doi.org/10.3389/fnins.2024.1432750
ER  - 

APA

L, G., A, W., SMA, Z., FM, S., M, S., Q, M., Z, W., S, S., A, D., M, B., J, P., D, W., G, E., S, H., R, G., & C., M. (2024). 68-channel neural signal processing system-on-chip with integrated feature extraction, compression, and hardware accelerators for neuroprosthetics in 22 nm FDSOI.. Front Neurosci. https://doi.org/10.3389/fnins.2024.1432750

Source records