Welcome
I am a theoretical physicist and computational neuroscientist researching consciousness through the lens of algorithmic information theory and computational neuroscience. In the past I worked on theoretical physics (quantum gravity as a PhD student) and, then, radar applications (GNSS-R, GPS-R). My current work (last ~20 yrs) involves creating computational/biophysical models to emulate and understand brain dynamics (epilepsy, Alzheimer’s disease, other neuroelogical conditions) and structured experience (psychiatric conditions), and translating these insights into clinical applications—particularly in the field of noninvasive brain stimulation, where computational neuropsychiatry and computational neurophenomenology will play a key role. I’m especially interested in how these models shed light on human experience and their broader implications for artificial intelligence and other life forms. (Google Profile)
News
- Oct 2026 — From “More Is Different” to Algorithmic Emergence: Regularity, Compression, and the Limits of Discovery accepted in Entropy (Zenodo, Preprints.org, code and examples).
- Sep 2026 — The Good Algorithmic Regulator Theorem: Model It, Transmit It, or Leave It in the World submitted to Entropy; preprint on Preprints.org and Zenodo.
- Aug 2026 — New preprint: Persistent infection and chronic neurological disease: reservoirs, CNS seeding, entrenchment, and neural erosion (Zenodo).
- Aug 2026 — New preprint: From Kolmogorov to Free Energy: Data Compression as a Common Problem for AIT, MDL, Bayes, and the FEP (Zenodo).
- Aug 2026 — Two KT preprints: Pattern, Persist! review article (Zenodo) and What Flows When Information Is Conserved? (Zenodo).
- 2026 — The Rosetta Stone of Neural Mass Models is out in Physics Reports (arXiv) — explore the interactive companion site.
Feel free to explore:
- Papers on Kolmogorov theory / algorithmic neuroscience (KT) (chat with my KT papers here)
- Papers on Computational neuroscience (neurotwins, LaNMM)
- Papers on tES (brain stimulation, tDCS, tACS, tRNS)
- Blogs on computation, neuroscience, AI, and related topics
- Slides repo on various topics
- My GitHub and Substack
- My Zenodo repo
Institutions I have co-founded:
-
Starlab provides state-of-the-art neuroimaging data analysis services in four main areas: Experience, Aging, Neurodevelopment, and Neuromodulation. We are a team of neuroscientists, i.e. physicists, mathematicians, cognitive scientists, environmentalists, and engineers backed up by a business team aiming to translate science into breakthrough neurotechnologies with a profound and positive impact on our clients and the society in general.
-
Neuroelectrics is a creative, high-tech company offering the best in class non-invasive and high definition electrical brain stimulation technology for personalized neuromodulation based on computational modeling of the brain. By measuring and modifying brain function, we aim to restore brain health, minimize disabilities and create a better life for patients.
-
The Barcelona Computational Foundation is a visionary non-profit research foundation dedicated to understanding and recreating life, brains, and minds as fundamentally computational phenomena. Our mission is to advance computational neuropsychiatry and neurophenomenology, pioneer neurosynthetic AI, and ultimately provide means for better lives and societies - may these be biological, hybrid or synthetic.
Main recent funded projects:
My PhD Students (so far):
Francois Soulat (Space/Radar GNSS-R), Alejandro Riera Sardà (Neuroscience, EEG), Josep Marco-Pallarés (Neuroscience, EEG), Alejandro Ejido Ejido (Space/Radar, GNSS-R), Laura Dubreuil Vall (Neuroscience, EEG and tDCS), Roser Sanchez-Todo (Computational Neuroscience), Edmundo Lopez-Solá (Computational Neuroscience).