Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Luiz A. Baccalá"'
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/153ae4c1fa49465884cba9ec1e9e1fe4
Autor:
Luiz A. Baccalá, Koichi Sameshima
Publikováno v:
Entropy, Vol 23, Iss 8, p 1037 (2021)
Using directed transfer function (DTF) and partial directed coherence (PDC) in the information version, this paper extends the theoretical framework to incorporate the instantaneous Granger causality (iGC) frequency domain description into a single u
Externí odkaz:
https://doaj.org/article/3593c1ef0ba64bd0972bb7f91fbbf5b0
Autor:
Lucas Massaroppe, Luiz A. Baccalá
Publikováno v:
Entropy, Vol 21, Iss 6, p 610 (2019)
In this paper, we show that the presence of nonlinear coupling between time series may be detected using kernel feature space F representations while dispensing with the need to go back to solve the pre-image problem to gauge model adequacy. This is
Externí odkaz:
https://doaj.org/article/236d0217dc24441f9652e6c66ed8d68a
Autor:
Luiz A. Baccalá, Koichi Sameshima
Publikováno v:
Biological Cybernetics. 115:195-204
Here while we reminisce about how partial directed coherence was proposed, its motivation and evolution, we take the opportunity to relate it to some of its kin quantities and some of its offspring. Emphasis is placed on our development of asymptotic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d813992b5a8a7e1f518df356403dd91a
https://doi.org/10.1007/s00422-021-00880-y
https://doi.org/10.1007/s00422-021-00880-y
Autor:
Luiz A. Baccalá, Koichi Sameshima
Publikováno v:
Frontiers in Network Physiology. 2
Here we dispel the lingering myth that Partial Directed Coherence is a Vector Autoregressive (VAR) Modelling dependent concept. In fact, our examples show that it is spectral factorization that lies at its heart, for which VAR modelling is a mere, al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4cb477b2d781c37b0939f2fb840437f
https://doi.org/10.3389/fnetp.2022.845327
https://doi.org/10.3389/fnetp.2022.845327
Publikováno v:
Web of Science
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Made available in DSpace on 2018-11-26T15:44:50Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-09-01 An in-duct rotating beamforming technique, using a wall-mounted array of microphones placed within a long duct, was developed for locating br
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9c15c0b415ca3d3f39b3e81cfdb1bb8
https://doi.org/10.1109/tci.2017.2721744
https://doi.org/10.1109/tci.2017.2721744
Publikováno v:
Brain Informatics
In this article, we extend the statistical detection performance evaluation of linear connectivity from Sameshima et al. (in: Slezak et al. (eds.) Lecture Notes in Computer Science, 2014) via brand new Monte Carlo simulations of three widely used toy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1fc805a586f716faf2cbf04c489a855
http://europepmc.org/articles/PMC4883150
http://europepmc.org/articles/PMC4883150
Autor:
Paulo C. Greco, Luiz A. Baccalá, Rúdner Lauterjung Queiroz, Bernardo Martinez, Luciano Caldas, R.G. Cuenca
Publikováno v:
23rd AIAA/CEAS Aeroacoustics Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1752e8b4f5c64619ac15876b2f335876
https://doi.org/10.2514/6.2017-3384
https://doi.org/10.2514/6.2017-3384
Backward renormalization-group inference of cortical dipole sources and neural connectivity efficacy
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Proper neural connectivity inference has become essential for understanding cognitive processes associated with human brain function. Its efficacy is often hampered by the curse of dimensionality. In the electroencephalogram case, which is a noninvas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d38f7826841a174d5717afc62f50091
https://pubmed.ncbi.nlm.nih.gov/28709330
https://pubmed.ncbi.nlm.nih.gov/28709330
Autor:
Luiz A. Baccalá, Lucas Massaroppe
Publikováno v:
Entropy
Volume 21
Issue 6
Entropy, Vol 21, Iss 6, p 610 (2019)
Volume 21
Issue 6
Entropy, Vol 21, Iss 6, p 610 (2019)
In this paper, we show that the presence of nonlinear coupling between time series may be detected employing kernel feature space representations alone dispensing with the need to go back to solve the pre-image problem to gauge model adequacy. As a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcca2c3f25041754b773e4f5cfa9fafd
https://doi.org/10.3390/e21060610
https://doi.org/10.3390/e21060610