Compressing Ultra-Dense Neural Recordings in Space and Time: A 3-D Modeling Approach.

Wang Y, Fan G, Yu S, Guo Z, Wang X, Yin M.

Open source

DOI: 10.1109/tnsre.2026.3716012
Published: 2026-01-01
Container: IEEE Trans Neural Syst Rehabil Eng
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/tnsre.2026.3716012,
  title = {Compressing Ultra-Dense Neural Recordings in Space and Time: A 3-D Modeling Approach.},
  author = {Wang Y and  Fan G and  Yu S and  Guo Z and  Wang X and  Yin M.},
  year = {2026},
  journal = {IEEE Trans Neural Syst Rehabil Eng},
  doi = {10.1109/tnsre.2026.3716012},
  url = {https://doi.org/10.1109/tnsre.2026.3716012}
}

RIS

TY  - JOUR
TI  - Compressing Ultra-Dense Neural Recordings in Space and Time: A 3-D Modeling Approach.
AU  - Wang Y
AU  -  Fan G
AU  -  Yu S
AU  -  Guo Z
AU  -  Wang X
AU  -  Yin M.
PY  - 2026
JO  - IEEE Trans Neural Syst Rehabil Eng
DO  - 10.1109/tnsre.2026.3716012
UR  - https://doi.org/10.1109/tnsre.2026.3716012
ER  -

APA

Y, W., G, F., S, Y., Z, G., X, W., & M., Y. (2026). Compressing Ultra-Dense Neural Recordings in Space and Time: A 3-D Modeling Approach.. IEEE Trans Neural Syst Rehabil Eng. https://doi.org/10.1109/tnsre.2026.3716012

Source records

europe-pmc · retrieved 2026-09-26T06:06:41.012Z
doaj · retrieved 2026-09-26T06:06:40.996Z