Statistical mechanics, computational neuroscience and bioinspired robotics

During the last decade, different experiments using inverse statistical mechanics have explored general properties of the neural and behavioural aspects of different biological organisms. Some of the results of these experiments show that many biological and cognitive systems do not operate deep into one or other regime of activity. Instead, they exploit critical surfaces poised at transitions in their parameter space. The pervasiveness of criticality in natural systems suggests that there may be general principles inducing this behaviour.

This research line aims to deepen in the understanding of critical phenomena and other statistical properties of embodied organisms, using statistical models and information theoretical tools. As well, we work in exploiting this knowledge for the design of bio-inspired agents exploiting the statistical mechanics of real-life organisms for displaying adaptive behaviour based on general mechanisms instead of ad hoc designs.

statistical-mechanics

Publications

Aguilera, M & Bedia, M.G (2017). Adaptation to criticality through organizational invariance in embodied agents. arXiv preprint arXiv:1712.05284

Aguilera, M & Bedia MG (2017). Criticality as It Could Be: organizational invariance as self-organized criticality in embodied agents. In Knibbe et al. (Eds.) Proceedings of the 14th European Conference on Artificial Life 2017.

Aguilera, M, Alquézar, C & Izquierdo, E (2017). Signatures of criticality in a maximum entropy model of the C. elegans brain during free behaviour. In Knibbe et al. (Eds.) Proceedings of the 14th European Conference on Artificial Life 2017.

Aguilera, M (2018). Rhythms of the collective brain: Metastable synchronization and cross-scale interactions in connected multitudes. Complexity Volume 2018, Article ID 4212509. doi:10.1155/2018/4212509

Gómez, T, Aguilera, M, Bedia MG & Gomila, A (2017). The Statistical Thermodynamics of Active Perception. In Knibbe et al. (Eds.) Proceedings of the 14th European Conference on Artificial Life 2017.

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