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frthjf/spe1-zhao2026-benchmark

679 downloads in 30 days0 likesLast modified 13 May 2026View on Hugging Face
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cc-by-sa-4.0, from the tagEvidence: README.md at 697ff26
Licence files
Licence CC BYSA 4.0.pdf, licence not identifiedEvidence: Licence%20CC%20BYSA%204.0.pdf at 697ff26
Declared sources
1
Access gated on Hugging Face
No
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Citation text from the card

If you use this dataset, please cite the original recordings and the benchmark methodology:

- The original publication describing the SPE-1 dataset: Marques-Smith, A., Neto, J.P., Lopes, G., Nogueira, J., Calcaterra, L., Frazão, J., Kim, D., Phillips, M., Dimitriadis, G., Kampff, A.R. (2018). *Recording from the same neuron with high-density CMOS probes and patch-clamp: a ground-truth dataset and an experiment in collaboration.* bioRxiv 370080; doi: https://doi.org/10.1101/370080
- The SPE-1 dataset itself: André Marques-Smith, Joana P. Neto, Gonçalo Lopes, Joana Nogueira, Lorenza Calcaterra, João Frazão, Danbee Kim, Matthew G. Phillips, George Dimitriadis and Adam R. Kampff (2018); Simultaneous patch-clamp and dense CMOS probe extracellular recordings from the same cortical neuron in anaesthetized rats. CRCNS.org http://dx.doi.org/10.6080/K0J67F4T
- The spike-localization benchmark: Zhao, H., Zhang, X., et al. (2026). Benchmarking spike source localization algorithms in high density probes. https://doi.org/10.1371/journal.pcbi.1014059

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dataset_licence({ "id": "frthjf/spe1-zhao2026-benchmark" })
signal: "unclear"
stated_licence: "cc-by-sa-4.0"
sources: 1