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Dataset

Marble burying classifier and supporting files

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  1. 1Department of Neuroscience, Erasmus Medical Center Rotterdam, The Netherlands
  2. 2Department of Clinical Genetics, Erasmus Medical Center Rotterdam, The Netherlands
  3. 3Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands & Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands

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Published 03 Feb. 2022 | License Creative Commons CC0 1.0 Public Domain Dedication

Description

Classifier and supporting files for: A novel automated approach for improving standardization of the marble burying test enables quantification of burying bouts and activity characteristics

Keywords

| Neuroscience | Marble burying | Machine learning | Automated classification |

References

  • A novel automated approach for improving standardization of the marble burying test enables quantification of burying bouts and activity characteristics, Lucas Wahl, A. Mattijs Punt, Tara Arbab, Ingo Willuhn, Ype Elgersma, Aleksandra Badura.

Funding

  • NWO VIDI/917.18.380,2018/ZonMw - AB
  • NWO VIDI 864.14.010,2015/06367/ALW - IW
  • NWO Gravitation program BRAINSCAPES 024.004.012 - IW
  • the Foundation for OCD Research IW
  • Amsterdam Brain and Cognition (ABC) Project Grant 2021 - TA and IW

Citation

Wahl L, Punt M, Arbab T, Willuhn I, Elgersma Y, Badura A (2022) Marble burying classifier and supporting files. G-Node. https://doi.org/10.12751/g-node.syheka