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HNN-core: A Python software for cellular and circuit-level interpretation of human MEG/EEG

  • Mainak Jas (Creator)
  • Ryan Thorpe (Creator)
  • Nicholas Tolley (Creator)
  • Christopher Bailey (Creator)
  • Steven Brandt (Creator)
  • Blake Caldwell (Creator)
  • Huzi Cheng (Creator)
  • Dylan Daniels (Creator)
  • Carolina Fernandez Pujol (Creator)
  • Mostafa Khalil (Creator)
  • Samika Kanekar (Creator)
  • Orsolya Kolozsvári (Creator)
  • Kaisu Lankinen (Harvard Medical School) (Creator)
  • Kenneth Loi (Creator)
  • Sam Neymotin (Creator)
  • Rajat Partani (Creator)
  • Mattan Pelah (Creator)
  • Alex Rockhill (Creator)
  • Mohamed Sherif (Creator)
  • Matti Hämäläinen (Creator)
  • Stephanie Jones (Creator)

Dataset

Description

NOTE This GitHub release was not mirrored by a PyPI release (GitHub-only). It was done to trigger a Zenodo release to be used by JOSS.

The title and description of this software/code correspond with the situation when the software metadata was imported to ACRIS. The most recent version of metadata is available in the original repository.
Date made available7 Dec 2023
PublisherZenodo

Dataset Licences

  • BSD 3-Clause

Access Dataset

  • HNN-core: A Python software for cellular and circuit-level interpretation of human MEG/EEG

    Jas, M., Thorpe, R., Tolley, N., Bailey, C., Brandt, S., Caldwell, B., Cheng, H., Daniels, D., Pujol, C. F., Khalil, M., Kanekar, S., Kohl, C., Kolozsvári, O., Lankinen, K., Loi, K., Neymotin, S., Partani, R., Pelah, M., Rockhill, A. & Sherif, M. & 2 others, Hamalainen, M. & Jones, S., 15 Dec 2023, In: Journal of Open Source Software. 8, 92, 5848.

    Research output: Contribution to journal › Article › Scientific › peer-review

    Open Access
    File
    49 Downloads (Pure)

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