Publications

Andrea Luppi, Pedro Mediano, Fernando Rosas, et al (2021). What it is like to be a bit: An Integrated Information Decomposition account of emergent mental phenomena. Accepted in Neuroscience of Consciousness.

Andrea Luppi, Pedro Mediano, Fernando Rosas, et al (2021). Paths to oblivion: Common neural mechanisms of anaesthesia and disorders of consciousness. BioRxiv.

Claudia Pascovich, Santiago Castro-Zaballa, Pedro Mediano, Daniel Bor, Andrés Canales-Johnson, Pablo D Torterolo, Tristan A Bekinschtein (2021). Ketamine and sleep modulate neural complexity dynamics in cats. BioRxiv.

Pedro Mediano, Anthony Trewavas, Paco Calvo (2021). Information and integration in plants: Towards a quantitative search for plant sentience. Journal of Consciousness Science, 28.

Marilyn Gatica, Fernando Rosas, Pedro Mediano, Ibai Diez, SP Swinnen, Patricio Orio, Rodrigo Cofre, Jesus Cortes (2021). High-order functional interactions in ageing explained via alterations in the connectome in a whole-brain mode. BioRxiv.

Pedro Mediano, Aleksi Ikkala, Rogier A Kievit, Sridhar R Jagannathan, Thomas F Varley, Emmanuel A Stamatakis, Tristan A Bekinschtein, Daniel Bor (2021). Fluctuations in Neural Complexity During Wakefulness Relate To Conscious Level and Cognition. BioRxiv.

Fernando Rosas, Pedro Mediano, Henrik Jensen, Anil Seth, Adam Barrett, Robin Carhart-Harris, Daniel Bor (2020). Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data. PLoS Computational Biology 16(12).

Zafeirios Fountas, Noor Sajid, Pedro Mediano, Karl Friston (2020). Deep active inference agents using Monte-Carlo methods. Neural Information Processing Systems (NeurIPS).

Fernando Rosas, Pedro Mediano, Borzoo Rassouli, Adam Barrett (2020). An operational information decomposition via synergistic disclosure. Journal of Physics A: Mathematical and Theoretical, 53(48).

Pedro Mediano, Fernando Rosas, et al (2020). Effects of external stimulation on psychedelic state neurodynamics. BioRxiv.

Ruben Herzog, Pedro Mediano, Fernando Rosas, Robin Carhart-Harris, Yonatan Sanz Perl, Enzo Tagliazucchi, Rodrigo Cofre (2020). A mechanistic model of the neural entropy increase elicited by psychedelic drugs. Scientific Reports, 10.

Pedro Mediano, Fernando Rosas, Juan Carlos Farah, Murray Shanahan, Daniel Bor, Adam Barrett (2020). Integrated information as a common signature of dynamical and information-processing complexity. Accepted in Chaos.

Pedro Mediano, Fernando Rosas, Adam Barrett, Daniel Bor (2020). Decomposing spectral and phasic differences in non-linear features between datasets. Physical Review Letters, 127.

Fernando Rosas, Pedro Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani (2020). Causal blankets: Theory and algorithmic framework. European Conference in Machine Learning (ECML).

Rodrigo Cofre, Ruben Herzog, Pedro Mediano, Juan Piccinini, Fernando Rosas, Yonatan Sanz Perl, Enzo Tagliazucchi (2020). Whole-brain models to explore altered states of consciousness from the bottom up. Brain Sciences, 10(9).

Marilyn Gatica, Rodrigo Cofre, Pedro Mediano, Fernando Rosas, Patricio Orio, Ibai Diez, SP Swinnen, Jesus Cortes (2020). High-order interdependencies in the aging brain. Brain Connectivity.

Fernando Rosas, Pedro Mediano, Michael Gastpar (2020). Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles. Information Theory Workshop.

Andrea Luppi, Jakub Vohryzek, Morten Kringelbach, Pedro Mediano, et al (2020). Connectome harmonic decomposition of human brain dynamics reveals a landscape of consciousness. BioRxiv.

Andrea Luppi, Pedro Mediano, Fernando Rosas, et al (2020). A synergistic workspace for human consciousness revealed by Integrated Information Decomposition. BioRxiv.

Andrea Luppi, Pedro Mediano, Fernando Rosas, et al (2020). A synergistic core for human brain evolution and cognition. BioRxiv.

Leonardo Novelli, Patricia Wollstadt, Pedro Mediano, Michael Wibral, Joseph Lizier (2019). Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing. Network Neuroscience, 3(3).

Patricia Wollstadt, Joseph Lizier, et al (2019). IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. Journal of Open Source Software, 4(34).

Andrea Tacchetti, H Francis Song, Pedro Mediano, Vinicius Zambaldi, Neil Rabinowitz, Thore Graepel, Matthew Botvinick, Peter Battaglia (2019). Relational forward models for multi-agent learning. International Conference in Learning Representations, (ICLR).

Adam Barrett, Pedro Mediano (2019). The Phi measure of integrated information is not well-defined for general physical systems. Journal of Consciousness Studies, 26.

Pedro Mediano, Anil Seth, Adam Barrett (2018). Measuring integrated information: Comparison of candidate measures in theory and simulation. Entropy, 21(1).

Simon McGregor, Pedro Mediano (2018). Measuring fitness effects of agent-environment interactions. Artificial Life, 24(3).

Simon McGregor, Pedro Mediano (2018). Adaptation is not just improvement over time. Artificial Life, 24(3).

Fernando Rosas, Pedro Mediano, Martin Ugarte, Henrik Jensen (2018). An information-theoretic approach to self-organisation: Emergence of complex interdependencies in coupled dynamical systems. Entropy, 20(10).

David Dolan, Henrik Jensen, Pedro Mediano, Miguel Molina-Solana, Hardik Rajpal, Fernando Rosas, John Sloboda (2018). The improvisational state of mind: A multidisciplinary study of an improvisatory approach to classical music repertoire performance. Frontiers in Psychology, 9.

Xerxes Arsiwalla, Pedro Mediano, Paul Verschure (2017). Spectral modes of network dynamics reveal increased informational complexity near criticality. Procedia Computer Science, 118.

Tycho Tax, Pedro Mediano, Murray Shanahan (2017). The partial information decomposition of generative neural network models. Entropy, 19(9).

Pedro Mediano, Murray Shanahan (2017). Balanced information storage and transfer in modular spiking neural networks. arXiv:1708.04392.

Kyriacos Nikiforou, Pedro Mediano, Murray Shanahan (2017). An investigation of the dynamical transitions in harmonically driven random networks of firing-rate neurons. Cognitive Computation, 9.

Nat Dilokthanakul, Pedro Mediano, et al (2016). Deep unsupervised clustering with Gaussian mixture variational autoencoders. arXiv:1611.02648.

Pedro Mediano, Juan Carlos Farah, Murray Shanahan (2016). Integrated information and metastability in systems of coupled oscillators. arXiv:1606.08313.

Fernando Rosas, Pedro Mediano, Michael Gastpar, Henrik Jensen (2000). Quantifying high-order interdependencies via multivariate extensions of the mutual information. Physical Review E, 100.

Pedro Mediano, Fernando Rosas, Robin Carhart-Harris, Anil Seth, Adam Barrett (2000). Beyond integrated information: A taxonomy of information dynamics phenomena. arXiv:1909.02297.