Daniel Chicharro

发表

Reliable detection of directional couplings using rank statistics.

Daniel Chicharro, Ralph G Andrzejak, R. Andrzejak, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

Causal learning with sufficient statistics: an information bottleneck approach pdf

Daniel Chicharro, Stefano Panzeri, Michel Besserve, 2020, ArXiv.

Inferring and quantifying causality in neuronal networks

Daniel Chicharro, Ralph G Andrzejak, Anders Ledberg, 2011, BMC Neuroscience.

Invariant Components of Synergy, Redundancy, and Unique Information among Three Variables pdf

Daniel Chicharro, Stefano Panzeri, Eugenio Piasini, 2017, Entropy.

Studying the precision of temporal neural code: some limitations of spike train distances

Daniel Chicharro, Ralph G Andrzejak, Thomas Kreuz, 2009, BMC Neuroscience.

MAXENT3D_PID: An Estimator for the Maximum-Entropy Trivariate Partial Information Decomposition

Daniel Chicharro, Dirk Oliver Theis, Abdullah Makkeh, 2019, Entropy.

Measuring real-time synchronization in both spike trains and continuous time series

Daniel Chicharro, Thomas Kreuz, Ralph GAndrzejak, 2011, BMC Neuroscience.

The Identity of Information: How Deterministic Dependencies Constrain Information Synergy and Redundancy

Daniel Chicharro, Stefano Panzeri, Giuseppe Pica, 2017, Entropy.

Daniel Chicharro, Ralf M. Haefner, Stefano Panzeri, 2017, bioRxiv.

Parametric and Non-parametric Criteria for Causal Inference from Time-Series

Daniel Chicharro, D. Chicharro, 2014 .

What can spike train distances tell us about the neural code?

Daniel Chicharro, Ralph G. Andrzejak, Thomas Kreuz, 2011, Journal of Neuroscience Methods.

Conditionally-additive-noise Models for Structure Learning pdf

Daniel Chicharro, Stefano Panzeri, Ilya Shpitser, 2019, ArXiv.

Monitoring spike train synchrony

Daniel Chicharro, Florian Mormann, Ralph G. Andrzejak, 2012, Journal of neurophysiology.

A Causal Perspective on the Analysis of Signal and Noise Correlations and Their Role in Population Coding

Daniel Chicharro, D. Chicharro, 2014, Neural Computation.

Time-resolved and time-scale adaptive measures of spike train synchrony

Daniel Chicharro, Ralph G. Andrzejak, Thomas Kreuz, 2010, Journal of Neuroscience Methods.

Measuring multiple spike train synchrony

Daniel Chicharro, Henry D. I. Abarbanel, Ralph G. Andrzejak, 2009, Journal of Neuroscience Methods.

Synergy and Redundancy in Dual Decompositions of Mutual Information Gain and Information Loss

Daniel Chicharro, Stefano Panzeri, S. Panzeri, 2016, Entropy.

Algorithms of causal inference for the analysis of effective connectivity among brain regions

Daniel Chicharro, Stefano Panzeri, S. Panzeri, 2014, Front. Neuroinform..

Time-resolvedandtime-scaleadaptivemeasuresofspiketrainsynchrony

Daniel Chicharro, Ralph G. Andrzejak, Thomas Kreuz, 2010 .

Impact of Biases in the False-Positive Rate on Null Hypothesis Testing

Daniel Chicharro, Florian Mormann, Ralph G. Andrzejak, 2011 .

A new measure for the detection of directional couplings based on rank statistics

Daniel Chicharro, Ralph G Andrzejak, Anders Ledberg, 2008, BMC Neuroscience.

Measuring spike train reliability

Antonio Politi, Alessandro Torcini, Daniel Chicharro, 2008, BMC Neuroscience.

Attention Induced Gain Stabilization in Broad and Narrow-Spiking Cells in the Frontal Eye-Field of Macaque Monkeys

Daniel Chicharro, Stefano Panzeri, Alexander Thiele, 2016, The Journal of Neuroscience.

Quantifying multivariate redundancy with maximum entropy decompositions of mutual information

Daniel Chicharro, D. Chicharro, 2017, 1708.03845.

Characterization of Cortical Networks and Corticocortical Functional Connectivity Mediating Arbitrary Visuomotor Mapping

Daniel Chicharro, Viktor Jirsa, Andrea Brovelli, 2015, The Journal of Neuroscience.

Measuring spike train synchrony between neuronal populations

Daniel Chicharro, Ralph G Andrzejak, Thomas Kreuz, 2009, BMC Neuroscience.