Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feding behavior in rats

Dataset

Title Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feding behavior in rats
Authors Dwiel Lucas, Khokhar Jibran, Connerney Michael, Green Alan, Doucette Wilder
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.
License Creative Commons Attribution-NonCommercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/)
References 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
Keywords Neuroscience
Electrophysiology
Oscillations
Predictive modeling
Feeding
Data This dataset can be browsed online here or downloaded as a zip archive (6734 MB). The current version of the dataset repository, possibly with updates, can be found here.
DOI 10.12751/g-node.f93a29
Citation This dataset can be cited as:
Dwiel L, Khokhar J, Connerney M, Green A, Doucette W, (2018) Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feding behavior in rats. G-Node. doi:10.12751/g-node.f93a29
Please also consider citing the material listed in the references
Type Dataset