Zobrazeno 1 - 10
of 849
pro vyhledávání: '"Neural ensemble"'
Autor:
A. Hasib Uddin, Yen-Lin Chen, Bijly Borkatullah, Mst. Sathi Khatun, Jannatul Ferdous, Prince Mahmud, Jing Yang, Chin Soon Ku, Lip Yee Por
Publikováno v:
Mathematics, Vol 11, Iss 16, p 3504 (2023)
This research addresses the lack of publicly available datasets for Bangladeshi medicinal plants by presenting a comprehensive dataset comprising 5000 images of ten species collected under controlled conditions. To improve performance, several prepro
Externí odkaz:
https://doaj.org/article/720c3dc1823348b0af8dd8c6fe871afd
Autor:
Md. Rezaul Karim, Jiao Jiao, Till Dohmen, Michael Cochez, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker
Publikováno v:
IEEE Access, Vol 9, Pp 39757-39780 (2021)
Osteoarthritis (OA) is a degenerative joint disease, which significantly affects middle-aged and elderly people. Although primarily identified via hyaline cartilage change based on medical images, technical bottlenecks like noise, artifacts, and moda
Externí odkaz:
https://doaj.org/article/e974cb33b53847c89f5fe106be172711
Akademický článek
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Publikováno v:
eLife, Vol 9 (2020)
While memories are often thought of as flashbacks to a previous experience, they do not simply conserve veridical representations of the past but must continually integrate new information to ensure survival in dynamic environments. Therefore, ‘dri
Externí odkaz:
https://doaj.org/article/605862363064401dbf9f1a42bcbe2cdc
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
eLife, Vol 9 (2020)
The brainstem plays a crucial role in sleep-wake regulation. However, the ensemble dynamics underlying sleep regulation remain poorly understood. Here, we show slow, state-predictive brainstem ensemble dynamics and state-dependent interactions betwee
Externí odkaz:
https://doaj.org/article/3a2a0d08c24b4354abf9f58a9c434276
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
Neurons which fire in a fixed temporal pattern (i.e., “cell assemblies”) are hypothesized to be a fundamental unit of neural information processing. Several methods are available for the detection of cell assemblies without a time structure. Howe
Externí odkaz:
https://doaj.org/article/1c3873b329af4f7cbb4b764d25c21194
Autor:
Herwig Baier, Geoffrey Migault, Bernhard Englitz, Thijs L van der Plas, Volker Bormuth, Georges Debrégeas, Jérôme Tubiana, Guillaume Le Goc, Michael Kunst
Publikováno v:
Elife, 12, pp. 1-34
Elife, 12, 1-34
Elife, 12, 1-34
Patterns of endogenous activity in the brain reflect a stochastic exploration of the neuronal state space that is constrained by the underlying assembly organization of neurons. Yet it remains to be shown that this interplay between neurons and their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::229351a359d9f516153272529897fd1c
https://doi.org/10.7554/elife.83139
https://doi.org/10.7554/elife.83139
Publikováno v:
Entropy, Vol 22, Iss 5, p 580 (2020)
Information theory is a powerful tool for analyzing complex systems. In many areas of neuroscience, it is now possible to gather data from large ensembles of neural variables (e.g., data from many neurons, genes, or voxels). The individual variables
Externí odkaz:
https://doaj.org/article/e9639105a4e148fb83a2e35b4ba18676
Publikováno v:
Agronomy, Vol 10, Iss 1, p 101 (2020)
Difficulties are faced when formulating hydrological processes, including that of evapotranspiration (ET). Conventional empirical methods for formulating these possess some shortcomings. The artificial intelligence approach emerges as the best possib
Externí odkaz:
https://doaj.org/article/25eb676c5e014642831553bd9f54b9db