Pedro A.M. Mediano
Zitiert von
Zitiert von
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ...
arXiv preprint arXiv:1611.02648, 2016
Measuring integrated information: Comparison of candidate measures in theory and simulation
PAM Mediano, AK Seth, AB Barrett
Entropy 21 (1), 17, 2018
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
Relational Forward Models for Multi-Agent Learning
A Tacchetti, HF Song, PAM Mediano, V Zambaldi, NC Rabinowitz, ...
arXiv preprint arXiv:1809.11044, 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
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
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
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
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
The Partial Information Decomposition of Generative Neural Network Models
T Tax, PAM Mediano, M Shanahan
Entropy 19 (9), 474, 2017
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
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
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
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
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
Balanced Information Storage and Transfer in Modular Spiking Neural Networks
PAM Mediano, M Shanahan
arXiv preprint arXiv:1708.04392, 2017
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
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
A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition
AI Luppi, PAM Mediano, FE Rosas, J Allanson, JD Pickard, ...
bioRxiv, 2020
Distributed harmonic patterns of structure-function dependence orchestrate human consciousness
AI Luppi, J Vohryzek, ML Kringelbach, PAM Mediano, MM Craig, R Adapa, ...
BioRxiv, 2020.08. 10.244459, 2022
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