Zobrazeno 1 - 10 of 26 pro vyhledávání: '"Chialvo, Dante Renato"'
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Learning by mistakes in memristor networks
Autor: Carbajal, Juan Pablo, Martin, Daniel Alejandro, Chialvo, Dante Renato
Recent results in adaptive matter revived the interest in the implementation of novel devices able to perform brain-like operations. Here we introduce a training algorithm for a memristor network which is inspired in previous work on biological learn
Externí odkaz: http://arxiv.org/abs/2011.07201
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3
La mente es crítica: Descubriendo la admirable complejidad del cerebro
Autor: Chialvo, Dante Renato
¿Qué es la mente? ¿Cómo logra tanta eficacia, capacidad y versatilidad si combina elementos tan sencillos? ¿Hay analogías con el concepto de vida? ¿Y con el comportamiento social? Este libro parte de un sencillo repaso de temas de actualidad e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3498::64cdbeeca808c62a8b78c444495c81fb
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4
Fluctuation-induced transport: From the very small to the very large scales
Autor: Suárez, Gonzalo Pablo, Hoyuelos, Miguel Luis, Chialvo, Dante Renato
Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
The study of fluctuation-induced transport is concerned with the directed motion of particles on a substrate when subjected to a fluctuating external field. Work over the last two decades provides now precise clues on how the average transport depend
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4011f877f9f21f3e19b79bbbac89f0d7
http://ref.scielo.org/2h7fyd
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5
Enhanced Repertoire of Brain Dynamical States During the Psychedelic Experience
Autor: Tagliazucchi, Enzo Rodolfo, Carhart Harris, Robin L., Leech, Robert, Nutt, David, Chialvo, Dante Renato
Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
The study of rapid changes in brain dynamics and functional connectivity (FC) is of increasing interest in neuroimaging. Brain states departing from normal waking consciousness are expected to be accompanied by alterations in the aforementioned dynam
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8da82aa429e3cdb8790b9bcc94e3c740
Wiley Online Library
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6
Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
Autor: Haimovici, Ariel, Tagliazucchi, Enzo Rodolfo, Balenzuela, Pablo, Chialvo, Dante Renato
Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
The relation between large-scale brain structure and function is an outstanding open problem in neuroscience. We approach this problem by studying the dynamical regime under which realistic spatiotemporal patterns of brain activity emerge from the em
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ffc0d390867693e6de0d1f7a6cbd7673
http://prl.aps.org/abstract/PRL/v110/i17/e178101
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7
Observing changes in human functioning during induced sleep deficiency and recovery periods
Autor: Jerzy Szwed, Anna Bereś, Halszka Oginska, Magdalena Fąfrowicz, Maciej A. Nowak, Tadeusz Marek, Aleksandra Domagalik, Ewa Gudowska-Nowak, Jeremi K. Ochab, Dante R. Chialvo, Katarzyna Oleś
Publikováno v: PLoS ONE
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
PLoS ONE, Vol 16, Iss 9, p e0255771 (2021)
Prolonged periods of sleep restriction seem to be common in the contemporary world. Sleep loss causes perturbations of circadian rhythmicity and degradation of waking alertness as reflected in attention, cognitive efficiency and memory. Understanding
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe9c40d9604252148873ac9bed5c2dad
http://europepmc.org/articles/PMC8409667
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8
Scale-Free Dynamics in Animal Groups and Brain Networks
Autor: Tiago L. Ribeiro, Dante R. Chialvo, Dietmar Plenz
Publikováno v: Frontiers in Systems Neuroscience, Vol 14 (2021)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Frontiers in Systems Neuroscience
Collective phenomena fascinate by the emergence of order in systems composed of a myriad of small entities. They are ubiquitous in nature and can be found over a vast range of scales in physical and biological systems. Their key feature is the seemin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8fb5f2aaf4aeb2e4f5a04e14ed431a8
https://www.frontiersin.org/articles/10.3389/fnsys.2020.591210/full
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9
Further results on why a point process is effective for estimating correlation between brain regions
Autor: S. G. Horovitz, Sergio A. Cannas, Dante R. Chialvo, Mahdi Zarepour Nasir Abadi, Ignacio Cifre
Publikováno v: Papers in Physics, Vol 12 (2020)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Signals from brain functional magnetic resonance imaging (fMRI) can be efficiently represented by a sparse spatiotemporal point process, according to a recently introduced heuristic signal processing scheme. This approach has already been validated f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d363e9bbb7f9dadf7f7e155f88944a63
https://www.papersinphysics.org/papersinphysics/article/view/515
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10
Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries : a machine learning approach
Autor: Agustín Ibáñez, Olivier Piguet, Lucas Sedeño, Pablo Reyes, Teresa Torralva, Andrea Slachevsky, Eduar Herrera, Facundo Manes, M. Belen Bachli, Juan F. Cardona, Jeremi K. Ochab, Adolfo M. García, María Roca, Fiona Kumfor, Diana Matallana, Cecilia Gonzalez Campo, Dante R. Chialvo
Publikováno v: NeuroImage, Vol 208, Iss, Pp 116456-(2020)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
NeuroImage
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be complemented by computational decision-support methods to objectively analyze multidimensional meas
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfc89770908379b265922b607b1ada7e
https://ruj.uj.edu.pl/xmlui/handle/item/130056
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