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README.md

2018_PLOS_Comp_Bio_Data

This repository holds all of the raw .mat files used for analysis in "Finding the balance between model complexity and performance: Using ventral striatal oscillaitons to classify feeding behavior" (https://doi.org/10.1101/241919).

Each file has the same strucutre with the following variables containing important information:

LFPTs = local field potentials (data structure)
LFPTs.data = raw voltage values (channel x time)
LFPTs.tvec = time stamps (in seconds)
LFPTs.label = channel labels
adfreq = sampling rate (Hz)
eventTs = event timestamps
eventTs.label = event labels
eventTs.t = timestamps of corresponding labels in eventTs.label

The code used to run analysis can be found at https://github.com/lucasdwi/code especially in the sp_package (https://github.com/lucasdwi/code/tree/master/sp_package) which contains all signal processing code.

datacite.yml
Title Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feding behavior in rats
Authors Dwiel,Lucas;Department of Psychiatry, Dartmouth College
Khokhar,Jibran;Ontario Veterinary College, University of Guelph
Connerney,Michael;Geisel School of Medicince, Dartmouth College
Green,Alan;Department of Psychiatry, Dartmouth College
Doucette,Wilder;Department of Psychiatry, Dartmouth College
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 [] (IsPartOf)
Funding NIH NCATS, KL2TR001088
NIH NCATS, LRP
Keywords Neuroscience
Electrophysiology
Oscillations
Predictive modeling
Feeding
Resource Type Dataset