INS_Tools is a set of tools commonly used at INS for data analysis and computational modeling in neuroscience. The intent of INS_Tools is to centralize and organize our tools to help INS researchers to find commonly used functions, models, and algorithms.
INS_Toolbox is available as a single downloadable file in two programming languages, Matlab and Python.
MULAN (MULtiple connectivity ANalysis): A MATLAB toolbox helps researchers to evaluate connectivity analysis methods in a systematic way. Available from: https://github.com/HuifangWang/MULAN.git
1. DFA.m (Detrended Fluctuation Analysis)
2. smoothen.m (Smoothens a time series)
Viktor Jirsa, firstname.lastname@example.org
Letter to Contributors (Including a formatting guide): [.pdf]
Matlab: Huifang Wang, email@example.com
Python: Jean-Luc Blanc, firstname.lastname@example.org