Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Fernando Montani"'
Autor:
Natalí Guisande, Fernando Montani
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
Scale-free brain activity, linked with learning, the integration of different time scales, and the formation of mental models, is correlated with a metastable cognitive basis. The spectral slope, a key aspect of scale-free dynamics, was proposed as a
Externí odkaz:
https://doaj.org/article/8f1aaec0c80d47f28ad184e443239518
Publikováno v:
Entropy, Vol 26, Iss 10, p 828 (2024)
The processes involved in encoding and decoding signals in the human brain are a continually studied topic, as neuronal information flow involves complex nonlinear dynamics. This study examines awake human intracranial electroencephalography (iEEG) d
Externí odkaz:
https://doaj.org/article/b8c1f26f290a4f4086f229338a9a60d5
Publikováno v:
Entropy, Vol 24, Iss 10, p 1384 (2022)
Synaptic plasticity is characterized by remodeling of existing synapses caused by strengthening and/or weakening of connections. This is represented by long-term potentiation (LTP) and long-term depression (LTD). The occurrence of a presynaptic spike
Externí odkaz:
https://doaj.org/article/487041406c0a4d5298bca17fccc9c161
Publikováno v:
Frontiers in Physics, Vol 7 (2019)
Imagined activities could actually be a cognitive basis for creative thinking. However, it is still unknown how they might be related with the architecture of the brain. A recent study has proved the relevance of the imagined activity when investigat
Externí odkaz:
https://doaj.org/article/be74b8a32dc348b1b3d4dd7e153998f5
Autor:
Osvaldo A. Rosso, Fernando Montani
Publikováno v:
Entropy, Vol 22, Iss 12, p 1382 (2020)
The concept of entropy, an ever-growing physical magnitude that measured the degree of decay of order in a physical system, was introduced by Rudolf Clausius in 1865 through an elegant formulation of the second law of thermodynamics [...]
Externí odkaz:
https://doaj.org/article/fd63ae5f7e994ee4bbf99bc1b7b3e394
Autor:
Roman Baravalle, Fernando Montani
Publikováno v:
Entropy, Vol 22, Iss 4, p 477 (2020)
A major challenge in neuroscience is to understand the role of the higher-order correlations structure of neuronal populations. The dichotomized Gaussian model (DG) generates spike trains by means of thresholding a multivariate Gaussian random variab
Externí odkaz:
https://doaj.org/article/e5df023c41584dda9ee70cd836ebb926
Autor:
Fernando Montani, Osvaldo A Rosso
Publikováno v:
Entropy, Vol 16, Iss 8, Pp 4677-4692 (2014)
Electroencephalography (EEG) reflects the electrical activity of the brain, which can be considered chaotic and ruled by a nonlinear dynamics. Chickens exhibit a protracted period of maturation, and this temporal separation of the synapse formation a
Externí odkaz:
https://doaj.org/article/cd5ce94ce20f45809b624d066d6e9044
Publikováno v:
Entropy, Vol 20, Iss 9, p 660 (2018)
The electroencephalogram (EEG) is an electrophysiological monitoring method that allows us to glimpse the electrical activity of the brain. Neural oscillations patterns are perhaps the best salient feature of EEG as they are rhythmic activities of th
Externí odkaz:
https://doaj.org/article/d197a348a2f44ffda2a8263b827a9ff7
Publikováno v:
Physical Review E. 107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1210e6761d53051d0fc192f6882119f
https://doi.org/10.1103/physreve.107.054402
https://doi.org/10.1103/physreve.107.054402
Autor:
Osvaldo Rosso, Mauro Granado, Santiago Collavini, Nataniel Martinez, Fernando Montani, Marcelo Montemurro, Román Baravalle
Publikováno v:
Chaos (Woodbury, N.Y.). 32(9)
Intracranial electroencephalography (iEEG) can directly record local field potentials (LFPs) from a large set of neurons in the vicinity of the electrode. To search for possible epileptic biomarkers and to determine the epileptogenic zone that gives
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cad8a3c100452c1e1ff45de1683b7bfd
https://pubmed.ncbi.nlm.nih.gov/36182366
https://pubmed.ncbi.nlm.nih.gov/36182366