Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Zsolt I Lázár"'
Publikováno v:
Journal of Physics: Complexity, Vol 5, Iss 3, p 035012 (2024)
The exponential distance rule (EDR) is a well-documented phenomenon suggesting that the distribution of axonal lengths in the brain follows an exponential decay pattern. Nevertheless, individual-level axon data supporting this assertion is limited to
Externí odkaz:
https://doaj.org/article/93b84b387ed64337b6cf2b4d5947be64
Autor:
Dávid Deritei, Zsolt I Lázár, István Papp, Ferenc Járai-Szabó, Róbert Sumi, Levente Varga, Erzsébet Ravasz Regan, Mária Ercsey-Ravasz
Publikováno v:
New Journal of Physics, Vol 16, Iss 6, p 063007 (2014)
Accurate and efficient community detection in networks is a key challenge for complex network theory and its applications. The problem is analogous to cluster analysis in data mining, a field rich in metric space-based methods. Common to these method
Externí odkaz:
https://doaj.org/article/cb281a5b780146949f8c025f42f43582
Autor:
Péter Hantz, Zsolt I. Lázár
Publikováno v:
Frontiers in Physics, Vol 7 (2019)
Formal explanations of the dynamics of free and heavy tops are considered to be known for centuries. However, intuitive understanding of their unexpected behavior is still a challenge. In this paper, we present elementary force based explanations of
Externí odkaz:
https://doaj.org/article/0a4b81adc66e4c9ab62fb561140d15d5
Publikováno v:
Entropy, Vol 23, Iss 1, p 103 (2021)
The combination of network sciences, nonlinear dynamics and time series analysis provides novel insights and analogies between the different approaches to complex systems. By combining the considerations behind the Lyapunov exponent of dynamical syst
Externí odkaz:
https://doaj.org/article/b59d92e78ce24d1c85f2f4fc0a5ab197
One of the primary clinical uses of EEG is to assess sleep. EEG can be employed to examine REM and non-REM sleep. However, recording and analyzing EEG during sleep presents unique challenges relative to traditional awake EEG recording and analysis. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c09f910f6ffeddc92b9f0aaee3a8f2f7
https://doi.org/10.1093/oxfordhb/9780192898340.013.17
https://doi.org/10.1093/oxfordhb/9780192898340.013.17
Based on a large dataset containing thousands of real-world networks ranging from genetic, protein interaction, and metabolic networks to brain, language, ecology, and social networks we search for defining structural measures of the different comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a66aa0894bcb5c4790f0e0d21c34faa
https://ueaeprints.uea.ac.uk/id/eprint/80681/
https://ueaeprints.uea.ac.uk/id/eprint/80681/
Publikováno v:
Entropy, Vol 23, Iss 103, p 103 (2021)
Entropy
Volume 23
Issue 1
Entropy
Volume 23
Issue 1
The combination of network sciences, nonlinear dynamics and time series analysis provides novel insights and analogies between the different approaches to complex systems. By combining the considerations behind the Lyapunov exponent of dynamical syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f75e0535fe4dd725112dd658d3b62d32
https://www.mdpi.com/1099-4300/23/1/103
https://www.mdpi.com/1099-4300/23/1/103
Publikováno v:
Frontiers in Physics, Vol 8 (2020)
Characterizing the dynamics of heavy symmetric tops is essential in several fields of theoretical and applied physics. Accordingly, a series of approaches have been developed to describe their motion. In this paper, we present a derivation based on e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6ec003a4a42931069032aca7a101f70
https://www.frontiersin.org/articles/10.3389/fphy.2020.584294/full
https://www.frontiersin.org/articles/10.3389/fphy.2020.584294/full
Autor:
Alpar S. Lazar, Ferenc Gombos, Róbert Bódizs, István Papp, Andras Szentkiralyi, Miklos Z. Molnar, Marta Novak, Istvan Mucsi, Katalin Zsuzsanna Ronai, Anett Lindner, Maria E. Czira, Zsolt I. Lázár, Rezso Zoller
Publikováno v:
Journal of Psychosomatic Research. 99:95-104
Objective: Insomnia complaints are frequent among kidney transplant (kTx) recipients and are associated with fatigue, depression, lower quality of life and increased morbidity. However, it is not known if subjective insomnia symptoms are associated w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c0d272df212b5806c72fbb8de398b14
https://doi.org/10.1016/j.jpsychores.2017.05.019
https://doi.org/10.1016/j.jpsychores.2017.05.019
Publikováno v:
Journal of Neuroscience Methods
Highlights • A new method to quantify infra slow oscillations (ISO) in sleep EEG was developed. • Binary sleep spindling signal (on-off) shows ISO at peak frequency
Background It has previously been reported that EEG sigma (10–15 Hz) activ
Background It has previously been reported that EEG sigma (10–15 Hz) activ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4a434712df5409e6f0d5e0cc33649bb
https://ueaeprints.uea.ac.uk/id/eprint/69199/
https://ueaeprints.uea.ac.uk/id/eprint/69199/