Intervention Models in Functional Connectivity Identification Applied to fMRI. - João Ricardo Sato; Daniel Yasumasa Takahashi; Ellison Fernando Cardoso; Maria da Graça Morais Martin; Edson Amaro Júnior; Pedro Alberto Morettin (Int. J. Biomed. Imaging, 2006)

A method to produce evolving functional connectivity maps during the course of an fMRI experiment using wavelet-based time-varying Granger causality. - João Ricardo Sato; Edson Amaro Júnior; Daniel Yasumasa Takahashi; Marcelo de Maria Felix; Michael John Brammer; Pedro Alberto Morettin (NeuroImage, 2006)

Generalized Partial Directed Coherence. - Luiz A. Baccalá; Koichi Sameshima; Daniel Y. Takahashi (DSP, 2007)

Measure of information flow with application in neuroscience (Medidas de fluxo de informação com aplicação em neurociência). - Daniel Yasumasa Takahashi (2009)

Information theoretic interpretation of frequency domain connectivity measures. - Daniel Y. Takahashi; Luiz A. Baccalá; Koichi Sameshima (Biol. Cybern., 2010)

A computational model for vocal exchange dynamics and their development in marmoset monkeys. - Daniel Y. Takahashi; Darshana Narayanan; Asif A. Ghazanfar (ICDL-EPIROB, 2012)

Discriminating different classes of biological networks by analyzing the graphs spectra distribution - Daniel Yasumasa Takahashi; João Ricardo Sato; Carlos Eduardo Ferreira; André Fujita (CoRR, 2012)

Development of self-monitoring essential for vocal interactions in marmoset monkeys. - Daniel Y. Takahashi; Darshana Narayanan; Asif A. Ghazanfar (ICDL-EPIROB, 2013)

Measuring network's entropy in ADHD: A new approach to investigate neuropsychiatric disorders. - João Ricardo Sato; Daniel Yasumasa Takahashi; Marcelo Queiroz Hoexter; Katlin Brauer Massirer; André Fujita (NeuroImage, 2013)

On the Statistical Performance of Connectivity Estimators in the Frequency Domain. - Koichi Sameshima; Daniel Y. Takahashi; Luiz A. Baccalá (Brain Informatics and Health, 2014)

A comparative study of statistical methods used to identify dependencies between gene expression signals. - Suzana de Siqueira Santos; Daniel Yasumasa Takahashi; Asuka Nakata; André Fujita (Briefings Bioinform., 2014)

A non-parametric method to estimate the number of clusters. - André Fujita; Daniel Yasumasa Takahashi; Alexandre Galvão Patriota (Comput. Stat. Data Anal., 2014)

Canonical information flow decomposition among neural structure subsets. - Daniel Yasumasa Takahashi; Luiz A. Baccalá; Koichi Sameshima (Frontiers Neuroinformatics, 2014)

Facial Expressions and the Evolution of the Speech Rhythm. - Asif A. Ghazanfar; Daniel Y. Takahashi (J. Cogn. Neurosci., 2014)

Partial directed coherence statistical performance characteristics in frequency domain. - Koichi Sameshima; Daniel Yasumasa Takahashi; Luiz Antonio Baccalá (EMBC, 2015)

On the statistical performance of Granger-causal connectivity estimators. - Koichi Sameshima; Daniel Y. Takahashi; Luiz A. Baccalá (Brain Informatics, 2015)

Directed Transfer Function: Unified Asymptotic Theory and Some of Its Implications. - Luiz A. Baccalá; Daniel Y. Takahashi; Koichi Sameshima (IEEE Trans. Biomed. Eng., 2016)

Correlation between graphs with an application to brain network analysis. - André Fujita; Daniel Yasumasa Takahashi; Joana Bisol Balardin; Maciel Calebe Vidal; João Ricardo Sato (Comput. Stat. Data Anal., 2017)

A semi-parametric statistical test to compare complex networks. - André Fujita; Eduardo Silva Lira; Suzana de Siqueira Santos; Silvia Yumi Bando; Gabriela Eleutério Soares; Daniel Yasumasa Takahashi (J. Complex Networks, 2020)

Predicting soft robot's locomotion fitness. - Renata B. Biazzi; André Fujita; Daniel Y. Takahashi (GECCO Companion, 2021)

A fast parameter estimator for large complex networks. - Grover E. C. Guzman; Daniel Yasumasa Takahashi; André Fujita (J. Complex Networks, 2022)

A mechanism for punctuating equilibria during mammalian vocal development. - Thiago T. Varella; Yisi S. Zhang; Daniel Y. Takahashi; Asif A. Ghazanfar (PLoS Comput. Biol., 2022)

Sparse Markov Models for High-dimensional Inference. - Guilherme Ost; Daniel Y. Takahashi (J. Mach. Learn. Res., 2023)

Vertex-wise graph's spectral density decomposition and its applications. - Grover E. C. Guzman; Daniel Yasumasa Takahashi; André Fujita (J. Complex Networks, 2025)