Zobrazeno 1 - 9 of 9 pro vyhledávání: '"K. L. Rossi"'
1
Akademický článek
Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks
Autor: B. R. R. Boaretto, R. C. Budzinski, K. L. Rossi, T. L. Prado, S. R. Lopes, C. Masoller
Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Extracting relevant properties of empirical signals generated by nonlinear, stochastic, and high-dimensional systems is a challenge of complex systems research. Open questions are how to differentiate chaotic signals from stochastic ones, an
Externí odkaz: https://doaj.org/article/0920618b54bc4a88b32fead71a4318e4
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2
Akademický článek
Synchronization malleability in neural networks under a distance-dependent coupling
Autor: R. C. Budzinski, K. L. Rossi, B. R. R. Boaretto, T. L. Prado, S. R. Lopes
Publikováno v: Physical Review Research, Vol 2, Iss 4, p 043309 (2020)
We investigate the synchronization features of a network of spiking neurons under a distance-dependent coupling following a power-law model. The interplay between topology and coupling strength leads to the existence of different spatiotemporal patte
Externí odkaz: https://doaj.org/article/4b9633025d474a21a72c1bed6b33fe10
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4
Evaluating Temporal Correlations in Time Series Using Permutation Entropy, Ordinal Probabilities and Machine Learning
Autor: Sergio Roberto Lopes, Cristina Masoller, R. C. Budzinski, T. L. Prado, B. R. R. Boaretto, K. L. Rossi
Publikováno v: Entropy
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Volume 23
Issue 8
Entropy, Vol 23, Iss 1025, p 1025 (2021)
Time series analysis comprises a wide repertoire of methods for extracting information from data sets. Despite great advances in time series analysis, identifying and quantifying the strength of nonlinear temporal correlations remain a challenge. We
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aa9ff13e05872c08f681ab357c67724
http://europepmc.org/articles/PMC8391825
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5
Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks
Autor: Cristina Masoller, R. C. Budzinski, K. L. Rossi, Sergio Roberto Lopes, T. L. Prado, B. R. R. Boaretto
Publikováno v: Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Extracting relevant properties of empirical signals generated by nonlinear, stochastic, and high-dimensional systems is a challenge of complex systems research. Open questions are how to differentiate chaotic signals from stochastic ones, and how to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f0df41fc941717bd6b887662bc8a10f
http://europepmc.org/articles/PMC8338970
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6
Bistability in the synchronization of identical neurons
Autor: Ulrike Feudel, K. L. Rossi, T. L. Prado, Cesar Manchein, R. C. Budzinski, Sergio Roberto Lopes, B. R. R. Boaretto
Publikováno v: Physical review. E. 104(2-1)
We investigate the role of bistability in the synchronization of a network of identical bursting neurons coupled through an generic electrical mean-field scheme. These neurons can exhibit distinct multistable states and, in particular, bistable behav
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b48aa8287d2491957e9f5dad15c7ea3
https://pubmed.ncbi.nlm.nih.gov/34525513
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7
Nonstationary transition to phase synchronization of neural networks induced by the coupling architecture
Autor: R. C. Budzinski, Sergio Roberto Lopes, Juergen Kurths, K. L. Rossi, B. R. R. Boaretto, T. L. Prado
Publikováno v: Physica A: Statistical Mechanics and its Applications. 507:321-334
The transition to phase synchronized states of neural networks with bursting dynamics may have nonstationary characteristics, as well as sensitivity to initial conditions. Here, we analyze the paradigmatic network composed of neurons of Rulkov to inv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::205d0e0b9623ba3454469e2b81db2462
https://doi.org/10.1016/j.physa.2018.05.076
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8
Phase-locking intermittency induced by dynamical heterogeneity in networks of thermosensitive neurons
Autor: B. R. R. Boaretto, T. L. Prado, K. L. Rossi, Sergio Roberto Lopes, Ulrike Feudel, R. C. Budzinski
Publikováno v: Chaos: An Interdisciplinary Journal of Nonlinear Science. 31:083121
In this work, we study the phase synchronization of a neural network and explore how the heterogeneity in the neurons' dynamics can lead their phases to intermittently phase-lock and unlock. The neurons are connected through chemical excitatory conne
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6eb50e672fa070f67cc73d6eee8ba26
https://doi.org/10.1063/5.0041064
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9
Open Questions on Mind, Genes, Consciousness, and Behavior: The Circadian and Ultradian Rhythms of Art, Beauty, and Truth in Creativity
Autor: K. L. Rossi, E. L. Rossi
Publikováno v: Ultradian Rhythms from Molecules to Mind ISBN: 9781402083518
An earlier companion volume to this text ended with an epilogue on “The Unification Hypothesis of Chronobiology from Molecule to Mind” wherein we traced the evolution of life and mind as manifest in our circadian and ultradian psychobiology (Lloy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e8b0a7c72f34210dec2c6301bb11db5b
https://doi.org/10.1007/978-1-4020-8352-5_16
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