Anticorrelated Component Analysis

MATLAB code to compute the two most anticorrelated patterns in a multivariate dataset.

This technique was first applied to identify competing neuronal networks from the spontaneous activity of brain neural circuits in:

Nathan X. Kodama, Tianyi Feng, James Ullett, Hillel J. Chiel, Siddharth S. Sivakumar, and Roberto F. Galán (2018). Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales. Scientific Reports, 8:666.


Programming Language: