Spiking neural networks provide accurate and time-efficient models for whisker stimulus classification of the awake mouse.

Albrecht S, Vandevelde JR, Vecchi E, Berra G, Bassetti D, Stüttgen MC, Luhmann HJ, Horenko I

Open source

DOI
10.3389/fnins.2026.1605209
Published
2026
Container
Frontiers in neuroscience
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fnins.2026.1605209,
  title = {Spiking neural networks provide accurate and time-efficient models for whisker stimulus classification of the awake mouse.},
  author = {Albrecht S and Vandevelde JR and Vecchi E and Berra G and Bassetti D and Stüttgen MC and Luhmann HJ and Horenko I},
  year = {2026},
  journal = {Frontiers in neuroscience},
  doi = {10.3389/fnins.2026.1605209},
  url = {https://doi.org/10.3389/fnins.2026.1605209}
}

RIS

TY  - JOUR
TI  - Spiking neural networks provide accurate and time-efficient models for whisker stimulus classification of the awake mouse.
AU  - Albrecht S
AU  - Vandevelde JR
AU  - Vecchi E
AU  - Berra G
AU  - Bassetti D
AU  - Stüttgen MC
AU  - Luhmann HJ
AU  - Horenko I
PY  - 2026
JO  - Frontiers in neuroscience
DO  - 10.3389/fnins.2026.1605209
UR  - https://doi.org/10.3389/fnins.2026.1605209
ER  - 

APA

S, A., JR, V., E, V., G, B., D, B., MC, S., HJ, L., & I, H. (2026). Spiking neural networks provide accurate and time-efficient models for whisker stimulus classification of the awake mouse.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2026.1605209

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