Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Lionel Barnett"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-6 (2022)
Abstract Phase transitions abound in nature and society, and, from species extinction to stock market collapse, their prediction is of widespread importance. In earlier work we showed that Global Transfer Entropy, a general measure of information flo
Externí odkaz:
https://doaj.org/article/f2c5c93457de4c1e9b2813e4707af222
Publikováno v:
NeuroImage, Vol 209, Iss , Pp 116462- (2020)
Neuroimaging studies of the psychedelic state offer a unique window onto the neural basis of conscious perception and selfhood. Despite well understood pharmacological mechanisms of action, the large-scale changes in neural dynamics induced by psyche
Externí odkaz:
https://doaj.org/article/dcd5bc884cc34fce849de9f907de123d
Autor:
Pedro A.M. Mediano, Fernando E. Rosas, Andrea I. Luppi, Valdas Noreika, Anil K. Seth, Robin L. Carhart-Harris, Lionel Barnett, Daniel Bor
Quantifying the complexity of neural activity has provided fundamental insights into cognition, consciousness, and clinical conditions. However, the most widely used approach to estimate the complexity of neural dynamics, Lempel-Ziv complexity (LZ),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e186e79f977c28abe3617ffe9681f52
https://doi.org/10.1101/2023.03.30.534922
https://doi.org/10.1101/2023.03.30.534922
Human experience is characterised by an apparently continuous stream of information. However, when recalling our past, we commonly experience somewhat discrete episodes. Event segmentation has been suggested to provide a basis for episodic memory for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794aecb82ecd45d8a177913d908cf59b
https://doi.org/10.31234/osf.io/t6fkg
https://doi.org/10.31234/osf.io/t6fkg
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
Scientific Reports
Scientific Reports
We simulate the canonical Vicsek model and estimate the flow of information as a function of noise (the variability in the extent to which each animal aligns with its neighbours). We show that the global transfer entropy for finite flocks not only fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f49712685f6e6fa2f95437d6560859d
https://doi.org/10.1038/s41598-020-59080-6
https://doi.org/10.1038/s41598-020-59080-6
Publikováno v:
NeuroImage. 178:744-748
Granger-Geweke causality (GGC) is a powerful and popular method for identifying directed functional (‘causal’) connectivity in neuroscience. In a recent paper, Stokes and Purdon (2017b) raise several concerns about its use. They make two primary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f80488875929196a2db8710a3f026150
https://doi.org/10.1016/j.neuroimage.2018.05.067
https://doi.org/10.1016/j.neuroimage.2018.05.067
Autor:
Terence Bossomaier, Michael Harre, Lionel Barnett, Adam Steen, Roderick Duncan, Steven D'Alessandro
Publikováno v:
Accounting & Finance. 58:45-58
Strong correlations among share prices appear during a market transitions. Numerous measures have been proposed to predict crash events, but they all show a trend which peaks at the transition itself. Information flow among share prices peaks before
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe27f9678f82b67bdf6dae297821cb02
https://doi.org/10.1111/acfi.12390
https://doi.org/10.1111/acfi.12390
Publikováno v:
Journal of Computational Science. 53:101370
The Vicsek model is a flocking model comprising simple point particles originally proposed with metric interactions: particles align to neighbours within a radius. Later, topological interactions were introduced such that particles align with their c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b7d647d1f8110916496057477ea854d
https://doi.org/10.1016/j.jocs.2021.101370
https://doi.org/10.1016/j.jocs.2021.101370
Autor:
Anil K. Seth, Lionel Barnett
Publikováno v:
Journal of Neuroscience Methods. 275:93-121
Granger causality is well established within the neurosciences for inference of directed functional connectivity from neurophysiological data. These data usually consist of time series which subsample a continuous-time biophysiological process. While
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29cc313f91cf9f2371544c72218058f0
https://doi.org/10.1016/j.jneumeth.2016.10.016
https://doi.org/10.1016/j.jneumeth.2016.10.016
Autor:
Anil K. Seth, Lionel Barnett
Publikováno v:
SMC
Neural processes in the brain operate at a range of temporal scales. Granger causality, the most widely-used neuroscientific tool for inference of directed functional connectivity from neurophsyiological data, is traditionally deployed in the form of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::326045b09aa6cacc7ef0abfb290b220f
https://doi.org/10.1109/smc.2019.8914556
https://doi.org/10.1109/smc.2019.8914556