Miguel Aguilera   complex systems, neuroscience and cognition

Code & Data

Here you can find different code and data repositories related to my papers and other projects.

Code repositories:

Mean-field methods and Plefka expansions for asymmetric kinetic Ising models.

Code reproducing the models in Aguilera, M, Moosavi, SA & Shimazaki H (2021). A unifying framework for mean-field theories of asymmetric kinetic Ising systems. Nature Communications 12:1197.

Tuning agents to criticality.

Code reproducing the models in Aguilera, M & Bedia, MG (2018). Adaptation to criticality through organizational invariance in embodied agents. Scientific Reports volume 8, Article number: 7723 (2018).

Data repositories:

Simulation data of asymmetric kinetic Ising models near a ferromagnetic phase transition.

Data used for generating the results in Aguilera, M, Moosavi, SA & Shimazaki H (2021). A unifying framework for mean-field theories of asymmetric kinetic Ising systems. Nature Communications 12:1197.

Perceptual crossing experiments.

Data used in Bedia, MG, Aguilera, M, Gomez, T, Larrode, DG, & Seron, F (2014). Quantifying long-range correlations and 1/f patterns in a minimal experiment of social interaction. Frontiers in Psychology, 5, 1281.

Teaching resources:

Artificial life summer school.

This repository contains code and theory from the Intangible lab summer school on artificial life held in Etopia (Zaragoza) in 2017.

Materials on Ising models and Boltzmann machines.

This page is a compilation of useful introductory materials to Ising models and Botlzmann machines. </div>