On the spectral formulation of Granger causality. - Daniel Chicharro (Biol. Cybern., 2011)

Characterization of information and causality measures for the study of neuronal data. - Daniel Chicharro (2011)

Monitoring spike train synchrony - Thomas Kreuz; Daniel Chicharro; Conor J. Houghton; Ralph G. Andrzejak; Florian Mormann (CoRR, 2012)

Algorithms of causal inference for the analysis of effective connectivity among brain regions. - Daniel Chicharro; Stefano Panzeri (Frontiers Neuroinformatics, 2014)

A Causal Perspective on the Analysis of Signal and Noise Correlations and Their Role in Population Coding. - Daniel Chicharro (Neural Comput., 2014)

Synergy and Redundancy in Dual Decompositions of Mutual Information Gain and Information Loss. - Daniel Chicharro; Stefano Panzeri (Entropy, 2017)

Invariant Components of Synergy, Redundancy, and Unique Information among Three Variables. - Giuseppe Pica; Eugenio Piasini; Daniel Chicharro; Stefano Panzeri (Entropy, 2017)

The Identity of Information: How Deterministic Dependencies Constrain Information Synergy and Redundancy. - Daniel Chicharro; Giuseppe Pica; Stefano Panzeri (Entropy, 2018)

Conditionally-additive-noise Models for Structure Learning. - Daniel Chicharro; Stefano Panzeri; Ilya Shpitser (CoRR, 2019)

MAXENT3D_PID: An Estimator for the Maximum-Entropy Trivariate Partial Information Decomposition. - Abdullah Makkeh; Daniel Chicharro; Dirk Oliver Theis; Raul Vicente (Entropy, 2019)

Causal learning with sufficient statistics: an information bottleneck approach. - Daniel Chicharro; Michel Besserve; Stefano Panzeri (CoRR, 2020)

Structure and flexibility in cortical representations of odour space. - Stan L. Pashkovski; Giuliano Iurilli; David Brann; Daniel Chicharro; Kristen Drummey; Kevin Franks; Stefano Panzeri; Sandeep R. Datta (Nat., 2020)

An information-theoretic quantification of the content of communication between brain regions. - Marco Celotto; Jan Bím; Alejandro Tlaie; Vito De Feo; Alessandro Toso; Stefan Lemke; Daniel Chicharro; Hamed Nili; Malte Bieler; Ileana L. Hanganu-Opatz; Tobias Donner; Andrea Brovelli; et al. (NeurIPS, 2023)

Causal Structure Learning with Conditional and Unique Information Groups-Decomposition Inequalities. - Daniel Chicharro; Julia K. Nguyen (Entropy, 2024)