| Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ... arXiv preprint arXiv:1611.02648, 2016 | 592 | 2016 |
| Measuring integrated information: Comparison of candidate measures in theory and simulation PAM Mediano, AK Seth, AB Barrett Entropy 21 (1), 17, 2018 | 127 | 2018 |
| Quantifying high-order interdependencies via multivariate extensions of the mutual information FE Rosas, PAM Mediano, M Gastpar, HJ Jensen Physical Review E 100 (3), 032305, 2019 | 107 | 2019 |
| A synergistic core for human brain evolution and cognition AI Luppi, PAM Mediano, FE Rosas, N Holland, TD Fryer, JT O’Brien, ... Nature Neuroscience 25 (6), 771-782, 2022 | 101 | 2022 |
| IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks P Wollstadt, JT Lizier, R Vicente, C Finn, M Martínez-Zarzuela, P Mediano, ... arXiv preprint arXiv:1807.10459, 2018 | 97 | 2018 |
| Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing L Novelli, P Wollstadt, P Mediano, M Wibral, JT Lizier Network Neuroscience 3 (3), 827-847, 2019 | 83 | 2019 |
| Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data FE Rosas, PAM Mediano, HJ Jensen, AK Seth, AB Barrett, ... PLOS Computational Biology 16 (12), e1008289, 2020 | 82 | 2020 |
| Relational Forward Models for Multi-Agent Learning A Tacchetti, HF Song, PAM Mediano, V Zambaldi, NC Rabinowitz, ... arXiv preprint arXiv:1809.11044, 2018 | 79 | 2018 |
| Deep active inference agents using Monte-Carlo methods Z Fountas, N Sajid, P Mediano, K Friston Advances in neural information processing systems 33, 11662-11675, 2020 | 77 | 2020 |
| A mechanistic model of the neural entropy increase elicited by psychedelic drugs R Herzog, PAM Mediano, FE Rosas, R Carhart-Harris, YS Perl, ... Scientific reports 10 (1), 1-12, 2020 | 64 | 2020 |
| The Partial Information Decomposition of Generative Neural Network Models T Tax, PAM Mediano, M Shanahan Entropy 19 (9), 474, 2017 | 59 | 2017 |
| The Phi Measure of Integrated Information is not Well-Defined for General Physical Systems AB Barrett, PAM Mediano Journal of Consciousness Studies 26 (1-2), 11-20, 2019 | 58 | 2019 |
| The improvisational state of mind: a multidisciplinary study of an improvisatory approach to classical music repertoire performance D Dolan, HJ Jensen, PAM Mediano, M Molina-Solana, H Rajpal, F Rosas, ... Frontiers in Psychology 9, 2018 | 52 | 2018 |
| Whole-brain models to explore altered states of consciousness from the bottom up R Cofré, R Herzog, PAM Mediano, J Piccinini, FE Rosas, Y Sanz Perl, ... Brain Sciences 10 (9), 626, 2020 | 50 | 2020 |
| An information-theoretic approach to self-organisation: Emergence of complex interdependencies in coupled dynamical systems F Rosas, P Mediano, M Ugarte, H Jensen Entropy 20 (10), 793, 2018 | 46 | 2018 |
| High-order interdependencies in the aging brain M Gatica, R Cofré, PAM Mediano, FE Rosas, P Orio, I Diez, SP Swinnen, ... Brain connectivity 11 (9), 734-744, 2021 | 43 | 2021 |
| Causal blankets: Theory and algorithmic framework FE Rosas, PAM Mediano, M Biehl, S Chandaria, D Polani International workshop on active inference, 187-198, 2020 | 43 | 2020 |
| A synergistic workspace for human consciousness revealed by integrated information decomposition AI Luppi, PAM Mediano, FE Rosas, J Allanson, JD Pickard, ... BioRxiv, 2020.11. 25.398081, 2020 | 42 | 2020 |
| Beyond integrated information: A taxonomy of information dynamics phenomena PAM Mediano, F Rosas, RL Carhart-Harris, AK Seth, AB Barrett arXiv preprint arXiv:1909.02297, 2019 | 40 | 2019 |
| An operational information decomposition via synergistic disclosure FE Rosas, PAM Mediano, B Rassouli, AB Barrett Journal of Physics A: Mathematical and Theoretical 53 (48), 485001, 2020 | 38 | 2020 |
Fernando E. RosasLecturer at University of SussexBestätigte E-Mail-Adresse bei imperial.ac.uk
