Dataset
Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feding behavior in rats
- 1Department of Psychiatry, Dartmouth College
- 2Ontario Veterinary College, University of Guelph
- 3Geisel School of Medicince, Dartmouth College
DOI: 10.12751/g-node.f93a29 BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 6.4 GiB)
Published 17 Jul. 2018 | License Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
Description
Raw .mat files of the electrophysiologic data used for all analysis in this paper. See ReadMe for description of data structure and link to GitHub repository containing all custom Matlab code used for analysis.
Keywords
| Neuroscience | Electrophysiology | Oscillations | Predictive modeling | Feeding |References
- Dwiel LL, Khokhar JY, Connerney MA, Green AI, Doucette WT (2019) Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feeding behavior in rats. PLoS Comput Biol 15(4):e1006838. https://doi.org/10.1371/journal.pcbi.1006838
- Dwiel et al (2018) Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feding behavior in rats. https://doi.org/10.1101/241919
Funding
- NIH NCATS KL2TR001088
- NIH NCATS LRP