Miguel Aguilera   complex systems, neuroscience and cognition

A unifying framework for mean-field theories of asymmetric kinetic Ising systems

I’m happy to see published this new paper in collaboration with Amin Moosavi and Hideaki Shimazaki in Nature Communications. In this paper study and unify different kinetic mean-field methods in Ising models with the objective of developing tools for studying large data-sets from networks of neurons in non-equilibrium conditions and near critical and maximally fluctuating regimes. We propose a framework that integrates previo...  Read more

Scaling Behaviour and Critical Phase Transitions in Integrated Information Theory

I just published a new paper with Ezequiel Di Paolo in Neuroscience & Biobehavioral Reviews. Here we review the link of self-organized criticality and integrated information with ideas about soft assembly in neural and cognitive process. Studying the properties of power-law scaling processes as a in indicator of properties like soft-assembly, self-organization or interaction-dominant-dynamics is a suggest...  Read more

New website

Welcome to my new Jekyll website. I’ll migrate most of the content from the old one, which is still available at https://maguilera0.wordpress.com.

 Read more

DIMENSIVE project

I’m happy to share that I have been granted a MSCA-IF grant to start a project at the University of Sussex in collaboration with Chris Buckley. The project aims to apply information-theoretic and inference methods to develop models of neural activity from zebrafish larvae in closed loop behavior, e.g. trying ...  Read more

Scaling Behaviour and Critical Phase Transitions in Integrated Information Theory

I just published a new paper exploring some of the ideas we initiated in our Integrated information in the thermodynamic limit (Aguilera & Di Paolo, 2019) paper. Here, I explore in detail many of the assumptions of Integrated Information Theory (specifically IIT 3.0) by computing integration in large kinetic Ising networks presenting a critical point. By combining a simpl...  Read more