Pedro Mediano

Pedro Mediano is an Associate Professor in Neural Computation at the Department of Computing, Imperial College London. His research interests include computation in neural systems, computational cognitive neuroscience, information theory, machine learning, neurodynamics, mental health, and consciousness. Mediano's work explores topics such as partial information decomposition, complexity theory, and altered states of consciousness. He has collaborated on studies involving psychedelic state neurodynamics and human brain evolution. Mediano has held positions at Imperial College London and the University of Cambridge, and he is affiliated with the Consciousness and Cognition Lab at the University of Cambridge. His research is grounded in mathematical and theoretical foundations, with a focus on open-source software and reproducibility.

Pedro A.M. Mediano is a researcher at Imperial College London with expertise in Complex Systems, Computational Neuroscience, Information Theory, and Machine Learning. His work focuses on understanding high-order interdependencies, causal emergence, and information dynamics in complex systems, particularly in the context of the brain. Mediano has developed tools like IDTxl, a Python package for analyzing multivariate information dynamics in networks. His research explores how integrated information theory can be applied to cognitive processes, brain aging, and multi-agent learning, emphasizing the synergistic and distributed nature of neural and computational systems.