Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jorge A Menendez"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1009062 (2022)
How does the brain prioritize among the contents of working memory (WM) to appropriately guide behavior? Previous work, employing inverted encoding modeling (IEM) of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) datase
Externí odkaz:
https://doaj.org/article/be84c5355c5345cca49c1169c1c54b74
Autor:
Gonçalo Lopes, Joana Nogueira, George Dimitriadis, Jorge Aurelio Menendez, Joseph J. Paton, Adam R. Kampff
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The role of motor cortex in non-primate mammals remains unclear. More than a century of stimulation, anatomical and electrophysiological studies has implicated neural activity in this region with all kinds of movement. However, following the removal
Externí odkaz:
https://doaj.org/article/8a85ac3eaed7435ca6a676e1dcb49199
Publikováno v:
Espacios. 42:33-50
Este trabajo presenta un análisis holístico del comercio electrónico y la modalidad Negocio a Negocio en la estrategia organizacional. Para ello, se realizó un análisis bibliométrico de plataformas Web of Science y Scopus. Entre los resultados
Autor:
William Q. Erickson, Daniel Herden, Jonathan Meddaugh, Mark R. Sepanski, Isaac Echols, Cordell Hammon, Jorge Marchena-Menendez, Jasmin Mohn, Blanca Radillo-Murguia, Indalecio Ruiz-Bolanos
For a graph $G$ and an abelian group $A$, a labeling of the vertices of $G$ induces a labeling of the edges via the sum of adjacent vertex labels. Hovey introduced the notion of an $A$-cordial vertex labeling when both the vertex and edge labels are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43ca8f012fd6d6394ae1d85a775330fb
http://arxiv.org/abs/2211.10044
http://arxiv.org/abs/2211.10044
Autor:
Laurence Aitchison, Peter E. Latham, Jean-Pascal Pfister, Jannes Jegminat, Jorge Aurelio Menendez, Alexandre Pouget
Publikováno v:
Nature Neuroscience. 24:565-571
Learning, especially rapid learning, is critical for survival. However, learning is hard; a large number of synaptic weights must be set based on noisy, often ambiguous, sensory information. In such a high-noise regime, keeping track of probability d
Autor:
Steven Gross, Thitaporn Chaisilprungraung, Elizabeth Kaplan, Jorge Aurelio Menendez, Jonathan Flombaum
Publikováno v:
The Baltic International Yearbook of Cognition, Logic and Communication, Vol 9 (2014)
Fiona Macpherson (2012) argues that various experimental results provide strong evidence in favor of the cognitive penetration of perceptual color experience. Moreover, she proposes a mechanism for how such cognitive penetration occurs. We argue, fir
Externí odkaz:
https://doaj.org/article/1f9bb81345a44d1d98ac690bbb24713f
While implicit Runge–Kutta (RK) methods possess high order accuracy and important stability properties, implementation difficulties and the high expense of solving the coupled algebraic system at each time step are frequently cited as impediments.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fc1243b7a168a6bd5493d2c94cf8bfb
https://doi.org/10.1145/3466168
https://doi.org/10.1145/3466168
How does the brain prioritize among the contents of working memory (WM) to appropriately guide behavior? Using inverted encoding modeling (IEM), previous work (Wan et al., 2020) showed that unprioritized memory items (UMI) are actively represented in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73f6c208c8758562d382a7f6914f9d6a
https://doi.org/10.1101/2021.05.13.443973
https://doi.org/10.1101/2021.05.13.443973
Autor:
Laurence, Aitchison, Jannes, Jegminat, Jorge Aurelio, Menendez, Jean-Pascal, Pfister, Alexandre, Pouget, Peter E, Latham
Publikováno v:
Nature neuroscience. 24(4)
Learning, especially rapid learning, is critical for survival. However, learning is hard; a large number of synaptic weights must be set based on noisy, often ambiguous, sensory information. In such a high-noise regime, keeping track of probability d