Anticorrelated Component Analysis (ACA) 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 Scientific Reports (2018), 8:666 [Link to PDF].
Phase-Response Curve Estimator Matlab code to estimate the phase-response curve (PRC) of neurons from electrophysiological data collected with the experimental protocol presented in Phys. Rev. Lett. (2005), 94, 158101 [PDF].
Virtual-Brain Generator (with Karl Steinke) Matlab code to reverse-engineer networks (Virtual Brains) whose dynamics reproduce large-scale activity patterns of real brains observed with EEG and MEG in health and disease, as presented in PLoS Computational Biology (2011), 7(10): e1002207 [PDF].
stocHHastic 1.1. (with Nick Schmandt) Matlab code to efficiently simulate the stochastic Hodgkin-Huxley model using the Stochastic-Shielding Approximation, as presented in Physical Review Letters (2012), 109, 118101 [PDF] and [Supplemental Material].
Empirical Phase Oscillator Model - EPhOM (with Yenan Zhu) Matlab code to quantify the interactions between two coupled oscillators and in particular, to investigate the physiology of cardio-ventilatory coupling from recordings of heartbeat and breathing, as presented in Physical Review E (2013), 87, 022709 [PDF].