M
+34 946 567 842
F
+34 946 567 842
E
maguilera@bcamath.org
Information of interest
- Orcid: 0000-0002-3366-4706
My research line is guided by the ambition of using methods from different branches of complex systems research and related areas (statistical mechanics, information theory, machine learning and nonlinear dynamics) to study the closed-loop ongoing interaction of intelligent agents with their environments. I work with methods from nonequilibrium physics to study neural systems in interaction with their environment as open, nonequilibrium systems, which often challenge mathematical and modelling methods assuming linearity or asymptotic equilibrium. My goal is to apply such methods to address open problems and theoretical challenges related to leading theories in neuroscience and as well as broader research perspectives on life and mind.
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Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick model
Aguilera, M.
; Igarashi, M.; Shimazaki, H. (2023-12-01)
Most natural systems operate far from equilibrium, displaying time-asymmetric, irreversible dynamics characterized by a positive entropy production while exchanging energy and matter with the environment. Although stochastic ...
- National project. Generación de Conocimiento project (PID2023-146869NA-I00). Higher-Order Links for Interacting System Models (HOLISM). PIs: Miguel Aguilera. Funding Entity (FE): Agencia Española de Investigación. €72,500.
- Junior Leader–Incoming Fellowship (LCF/BQ/PI23/11970024): Transformers as nonequilibrium neural networks models of hippocampal spatial maps. Funding Entity (FE): Fundación la Caixa, €305,100. 02/05/2023 –01/05/2026.
- International project. Templeton Foundation Grant: Goal-directed behavior and the origin of life. PIs: Löffler, R, Kolchinsky, A, Aguilera, M, Biehl, M, Markovitch, O. FE: John Templeton Foundation, $934,753 ($150,543 BCAM). 01/09/2023 –31/05/2026.
- Industrial project. ELKARTEK KK-2023/00085: BEACON – cyBErsecure industriAl Computing cONtinuum. PIs: M, Urbieta (Ikerlan), Lage, Ó (Tecnalia), Aguilera, M (BCAM), Quartulli, M (Vicomtech), Figueroa, S (CEIT), Zurutuza, U (MU-EPS), Sanz, B (U. Deusto) & Higuero, M (UPV/EHU). FE: Basque Government, €841,272.52 (€70,289.04 BCAM). 01/03/2023 –31/12/2024.
- Fellowship. Ikerbasque Research Fellowship (tenure track, 5-year fellowship). FE: Ikerbasque, Basque Foundation for Science. 01/10/2022 – 30/09/2027.
- Fellowship. Marie Skłodowska Curie Actions – Individual Fellowship (grant n.892715): Data-driven Inference of Models from Embodied Neural Systems In Vertebrate Experiments. PIs: Aguilera, M & Buckey CL (supervisor). FE European Commission, €212,933.76. 26/05/2020 – 25/05/2022.
Code and data reproducing the paper "A unifying framework for mean field theories of asymmetric kinetic Ising systems"
Authors: Miguel Aguilera
License: GPLv3.0