Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Aline Viol"'
Information parity increases on functional brain networks under influence of a psychedelic substance
Autor:
Aline Viol, Gandhimohan M Viswanathan, Oleksandra Soldatkina, Fernanda Palhano-Fontes, Heloisa Onias, Draulio de Araujo, Philipp Hövel
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 1, p 01LT02 (2023)
The physical basis of consciousness is one of the most intriguing open questions that contemporary science aims to solve. By approaching the brain as an interactive information system, complex network theory has greatly contributed to understand brai
Externí odkaz:
https://doaj.org/article/ff02a311545d494f83d426018ef0e833
Autor:
Aline Viol, Fernanda Palhano-Fontes, Heloisa Onias, Draulio B. de Araujo, Philipp Hövel, Gandhi M. Viswanathan
Publikováno v:
Entropy, Vol 21, Iss 2, p 128 (2019)
With the aim of further advancing the understanding of the human brain’s functional connectivity, we propose a network metric which we term the geodesic entropy. This metric quantifies the Shannon entropy of the distance distribution to a specific
Externí odkaz:
https://doaj.org/article/1a1e229168324fbda3a105d50fd8525d
Publikováno v:
Current Opinion in Neurobiology. 70:130-136
Is progress in understanding the neural basis for spatial navigation relevant to the human language faculty? Not so much at the shortest scale, where movement is continuous, a recent study in the space of vowels suggests. At a much larger scale, howe
Criticality has been conjectured as an integral part of neuronal network dynamics. Operating at a critical threshold requires precise parameter tuning and a corresponding mechanism remains an open question. Recent studies have suggested that topologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a57026266f9f88cec0172f21bf6ee0c5
https://depositonce.tu-berlin.de/handle/11303/16293
https://depositonce.tu-berlin.de/handle/11303/16293
Autor:
H. Felippe Jr., Heloisa Onias, G. M. Viswanathan, Dráulio Barros de Araújo, Fernanda Palhano-Fontes, Aline Viol
Publikováno v:
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Revista Brasileira de Ensino de Física v.43 suppl.1 2021
Revista Brasileira de Ensino de Física
Sociedade Brasileira de Física (SBF)
instacron:SBF
Revista Brasileira de Ensino de Física, Vol 43, Iss suppl 1 (2021)
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Revista Brasileira de Ensino de Física v.43 suppl.1 2021
Revista Brasileira de Ensino de Física
Sociedade Brasileira de Física (SBF)
instacron:SBF
Revista Brasileira de Ensino de Física, Vol 43, Iss suppl 1 (2021)
O objetivo principal da mecânica estatística é relacionar a física microscópica regida pelas leis de Newton, ou então pela mecânica quântica, com a física macroscópica regida pelas leis da termodinâmica. Conceitos macroscópicos, tais como
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bca7dbd7966b5a693f4f2d7937a383d
https://repositorio.ufrn.br/handle/123456789/31807
https://repositorio.ufrn.br/handle/123456789/31807
Autor:
Dráulio Barros de Araújo, Fernanda Palhano-Fontes, Gandhimohan. M. Viswanathan, Heloisa Onias, Aline Viol, Philipp Hövel
Publikováno v:
Entropy
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Volume 21
Issue 2
Entropy, Vol 21, Iss 2, p 128 (2019)
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Volume 21
Issue 2
Entropy, Vol 21, Iss 2, p 128 (2019)
With the aim of further advancing the understanding of the human brain&rsquo
s functional connectivity, we propose a network metric which we term the geodesic entropy. This metric quantifies the Shannon entropy of the distance distribution to a
s functional connectivity, we propose a network metric which we term the geodesic entropy. This metric quantifies the Shannon entropy of the distance distribution to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1fdca7a8f9ec8386dc7375a235d4d23
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 561:125233
A growing interest in complex networks theory results in an ongoing demand for new analytical tools. We propose a novel quantity based on information theory that provides a new perspective for a better understanding of networked systems: Termed ”in
Understanding the relationship between structural and functional organization represents one of the most important challenges in neuroscience. An increasing amount of studies show that this organization can be better understood by considering the bra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a515c0e7bbdb3932d76959ad9abaa1c3
https://hdl.handle.net/10468/7138
https://hdl.handle.net/10468/7138
Autor:
Fernanda Palhano-Fontes, Aline Viol, Gandhimohan. M. Viswanathan, Dráulio Barros de Araújo, Katia C. Andrade, Heloisa Onias, Marcio Sturzbecher
Publikováno v:
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Functional magnetic resonance imaging (fMRI) has just completed 20years of existence. It currently serves as a research tool in a broad range of human brain studies in normal and pathological conditions, as is the case of epilepsy. To date, most fMRI
Autor:
Danilo Oliveira Pedreira, Gandhimohan. M. Viswanathan, Claudionor Gomes Bezerra, Aline Viol, Mauro S. Ferreira, Sérgio Azevedo
Publikováno v:
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
In this work we address the effects of quasiperiodic disorder on the physical properties of nanoribbons, composed by BN and C, constructed according to the Fibonacci quasiperiodic sequence. We assume BN and C as the building blocks of the resulting q