Pedro A. M. Mediano

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 44

Top Topics

Neural Dynamics

Unsupervised Clustering

Multivariate Data

Classification Error

Top Venues

Publications

Carles Balsells Rodas, Yixin Wang, Pedro A. M. Mediano, Yingzhen Li
Identifying Nonstationary Causal Structures with High-Order Markov Switching Models. CoRR (2024)
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Characterising Directed and Undirected Metrics of High-Order Interdependence. ISIT (Workshops) (2024)
Fernando E. Rosas, Diego Candia-Rivera, Andrea I. Luppi, Yike Guo, Pedro A. M. Mediano
Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics. Comput. Biol. Medicine 170 (2024)
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Characterising directed and undirected metrics of high-order interdependence. CoRR (2024)
Andrea I. Luppi, Fernando E. Rosas, Gustavo Deco, Morten L. Kringelbach, Pedro A. M. Mediano
Information decomposition reveals hidden high-order contributions to temporal irreversibility. CoRR (2023)
Patricio Orio, Pedro A. M. Mediano, Fernando E. Rosas
Dynamical noise can enhance high-order statistical structure in complex systems. CoRR (2023)
Keenan J. A. Down, Pedro A. M. Mediano
A Logarithmic Decomposition for Information. CoRR (2023)
Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. NeurIPS (2023)
Keenan J. A. Down, Pedro A. M. Mediano
A Logarithmic Decomposition for Information. ISIT (2023)
Andrea I. Luppi, Eckehard Olbrich, Conor Finn, Laura E. Suárez, Fernando E. Rosas, Pedro A. M. Mediano, Jürgen Jost
Quantifying synergy and redundancy in multiplex networks. CoRR (2023)
Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano, Mauricio Barahona
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions. CoRR (2023)
Joel Frohlich, Tim Bayne, Julia Sophia Crone, Alessandra DallaVecchia, Asger Kirkeby-Hinrup, Pedro A. M. Mediano, Julia Moser, Karolina Talar, Alireza Gharabaghi, Hubert Preissl
Not with a "zap" but with a "beep": Measuring the origins of perinatal experience. NeuroImage 273 (2023)
Andrea I. Luppi, Joana Cabral, Rodrigo Cofré, Pedro A. M. Mediano, Fernando E. Rosas, Abid Y. Qureshi, Amy Kuceyeski, Enzo Tagliazucchi, Federico Raimondo, Gustavo Deco, James M. Shine, Morten L. Kringelbach, Patricio Orio, ShiNung Ching, Yonatan Sanz Perl, Michael N. Diringer, Robert D. Stevens, Jacobo Diego Sitt
Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage 275 (2023)
Andrea I. Luppi, Pedro A. M. Mediano, Fernando E. Rosas, Judith Allanson, John D. Pickard, Guy B. Williams, Michael M. Craig, Paola Finoia, Alexander R. D. Peattie, Peter Coppola, David K. Menon, Daniel Bor, Emmanuel A. Stamatakis
Reduced emergent character of neural dynamics in patients with a disrupted connectome. NeuroImage 269 (2023)
Hardik Rajpal, Pedro A. M. Mediano, Fernando E. Rosas, Christopher B. Timmermann, Stefan Brugger, Suresh D. Muthukumaraswamy, Anil K. Seth, Daniel Bor, Robin L. Carhart-Harris, Henrik J. Jensen
Psychedelics and schizophrenia: Distinct alterations to Bayesian inference. NeuroImage 263 (2022)
Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi, Thomas F. Varley, Joseph T. Lizier, Sebastiano Stramaglia, Henrik J. Jensen, Daniele Marinazzo
Disentangling high-order mechanisms and high-order behaviours in complex systems. CoRR (2022)
Fran Hancock, Joana Cabral, Andrea I. Luppi, Fernando E. Rosas, Pedro A. M. Mediano, Ottavia Dipasquale, Federico E. Turkheimer
Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity. NeuroImage 259 (2022)
Alexandra M. Proca, Fernando E. Rosas, Andrea I. Luppi, Daniel Bor, Matthew Crosby, Pedro A. M. Mediano
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks. CoRR (2022)
Marilyn Gatica, Fernando E. Rosas, Pedro A. M. Mediano, Ibai Díez, Stephan P. Swinnen, Patricio Orio, Rodrigo Cofré, Jesús M. Cortés
High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model. PLoS Comput. Biol. 18 (9) (2022)
Marilyn Gatica, Rodrigo Cofré, Pedro A. M. Mediano, Fernando E. Rosas, Patricio Orio, Ibai Díez, Stephan P. Swinnen, Jesús M. Cortés
High-Order Interdependencies in the Aging Brain. Brain Connect. 11 (9) (2021)
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles. CoRR (2020)
Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston
Deep active inference agents using Monte-Carlo methods. CoRR (2020)
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Learning, compression, and leakage: Minimising classification error via meta-universal compression principles. ITW (2020)
Fernando Rosas, Pedro A. M. Mediano, Borzoo Rassouli, Adam B. Barrett
An operational information decomposition via synergistic disclosure. CoRR (2020)
Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani
Causal blankets: Theory and algorithmic framework. CoRR (2020)
Fernando E. Rosas, Pedro A. M. Mediano, Martin Biehl, Shamil Chandaria, Daniel Polani
Causal Blankets: Theory and Algorithmic Framework. IWAI (2020)
Zafeirios Fountas, Noor Sajid, Pedro A. M. Mediano, Karl J. Friston
Deep active inference agents using Monte-Carlo methods. NeurIPS (2020)
Ondrej Miksik, I. Munasinghe, J. Asensio-Cubero, S. Reddy Bethi, S.-T. Huang, S. Zylfo, X. Liu, T. Nica, A. Mitrocsak, S. Mezza, Rory Beard, Ruibo Shi, Raymond W. M. Ng, Pedro A. M. Mediano, Zafeirios Fountas, S.-H. Lee, J. Medvesek, H. Zhuang, Y. Rogers, Pawel Swietojanski
Building Proactive Voice Assistants: When and How (not) to Interact. CoRR (2020)
Fernando E. Rosas, Pedro A. M. Mediano, Henrik J. Jensen, Anil K. Seth, Adam B. Barrett, Robin L. Carhart-Harris, Daniel Bor
Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data. PLoS Comput. Biol. 16 (12) (2020)
Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. J. Open Source Softw. 4 (34) (2019)
Leonardo Novelli, Patricia Wollstadt, Pedro A. M. Mediano, Michael Wibral, Joseph T. Lizier
Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing. CoRR (2019)
Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinícius Flores Zambaldi, János Kramár, Neil C. Rabinowitz, Thore Graepel, Matthew Botvinick, Peter W. Battaglia
Relational Forward Models for Multi-Agent Learning. ICLR (Poster) (2019)
Fernando Rosas, Pedro A. M. Mediano, Michael Gastpar, Henrik J. Jensen
Quantifying High-order Interdependencies via Multivariate Extensions of the Mutual Information. CoRR (2019)
Pedro A. M. Mediano, Anil K. Seth, Adam B. Barrett
Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation. Entropy 21 (1) (2019)
Andrea Tacchetti, H. Francis Song, Pedro A. M. Mediano, Vinícius Flores Zambaldi, Neil C. Rabinowitz, Thore Graepel, Matthew Botvinick, Peter W. Battaglia
Relational Forward Models for Multi-Agent Learning. CoRR (2018)
Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. CoRR (2018)
Simon McGregor, Pedro A. M. Mediano
Adaptation Is Not Just Improvement over Time. Artif. Life 24 (3) (2018)
Simon McGregor, Pedro A. M. Mediano
Measuring Fitness Effects of Agent-Environment Interactions. Artif. Life 24 (3) (2018)
Fernando Rosas, Pedro A. M. Mediano, Martín Ugarte, Henrik J. Jensen
An Information-Theoretic Approach to Self-Organisation: Emergence of Complex Interdependencies in Coupled Dynamical Systems. Entropy 20 (10) (2018)
Tycho M. S. Tax, Pedro A. M. Mediano, Murray Shanahan
The Partial Information Decomposition of Generative Neural Network Models. Entropy 19 (9) (2017)
Kyriacos Nikiforou, Pedro A. M. Mediano, Murray Shanahan
An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons. Cogn. Comput. 9 (3) (2017)
Xerxes D. Arsiwalla, Pedro A. M. Mediano, Paul F. M. J. Verschure
Spectral Modes of Network Dynamics Reveal Increased Informational Complexity Near Criticality. CoRR (2017)
Xerxes D. Arsiwalla, Pedro A. M. Mediano, Paul F. M. J. Verschure
Spectral Modes of Network Dynamics Reveal Increased Informational Complexity Near Criticality. ICCS (2017)
Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. CoRR (2016)