D. Chicharro

发表

Seizure prediction: Any better than chance?

F. Mormann, C. Elger, R. Andrzejak, 2009, Clinical Neurophysiology.

Framework to study dynamic dependencies in networks of interacting processes.

A. Ledberg, D. Chicharro, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

When two become one: the limits of causality analysis of brain dynamics.

A. Ledberg, D. Chicharro, 2012, PloS one.

Quantifying multivariate redundancy with maximum entropy decompositions of mutual information

Daniel Chicharro, D. Chicharro, 2017, 1708.03845.

Author ' s personal copy Seizure prediction : Any better than chance ?

F. Mormann, C. Elger, R. Andrzejak, 2009 .

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

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

Title Monitoring spike train synchrony 2 3 4

Conor J. Houghton, F. Mormann, R. Andrzejak, 2012 .

easuring multiple spike train synchrony

H. Abarbanel, J. Haas, R. Andrzejak, 2009 .

Assessing the role of synchronization and phase coherence in neural communication comparing cortical recordings and integrate-and-fire network models

C. Kayser, S. Panzeri, D. Chicharro, 2013, BMC Neuroscience.

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

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

Measuring spike train reliability

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

A Non-negative Measure Of Feature-specific Information Transfer Between Neural Signals

Stefano Panzeri, Andrea Brovelli, Jan Bím, 2019, bioRxiv.

Structure and flexibility in cortical representations of odour space

Stefano Panzeri, Daniel Chicharro, Sandeep Robert Datta, 2020, Nature.

Causal learning with sufficient statistics: an information bottleneck approach pdf

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

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

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

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

Daniel Chicharro, D. Chicharro, 2014 .

Monitoring spike train synchrony

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

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

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

Time-resolvedandtime-scaleadaptivemeasuresofspiketrainsynchrony

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

Measuring multiple spike train synchrony

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

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

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

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

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

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

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

On the spectral formulation of Granger causality

D. Chicharro, D. Chicharro, 2011, Biological Cybernetics.

Perceptual learning of fine contrast discrimination changes neuronal tuning and population coding in macaque V4

Stefano Panzeri, Alexander Thiele, Daniel Chicharro, 2018, Nature Communications.

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

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

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

Using bivariate signal analysis to characterize the epileptic focus: the benefit of surrogates.

K Lehnertz, R G Andrzejak, F Mormann, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

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

Perceptual learning of fine contrast discrimination changes neuronal tuning and population coding in macaque V4

S. Panzeri, C. Distler, A. Thiele, 2018, Nature Communications.

Stimulus-dependent relationships between behavioral choice and sensory neural responses

Stefano Panzeri, Ralf M. Haefner, Daniel Chicharro, 2019, bioRxiv.

Structure and flexibility in cortical representations of odor space

Stefano Panzeri, Sandeep Robert Datta, David H. Brann, 2020, Nature.

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.

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

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

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

T. Kreuz, R. Andrzejak, D. Chicharro, 2011, 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.

An information-theoretic quantification of the content of communication between brain regions

S. Panzeri, H. Nili, D. Chicharro, 2023, bioRxiv.

Conditionally-additive-noise Models for Structure Learning pdf

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