Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Martha Lorena Avendaño-Garrido"'
Autor:
Isidro Vargas-Moreno, Héctor Gabriel Acosta-Mesa, Juan Francisco Rodríguez-Landa, Martha Lorena Avendaño-Garrido, Rafael Fernández-Demeneghi, Socorro Herrera-Meza
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 5, p 76 (2024)
Behavioral neuropharmacology, a branch of neuroscience, uses behavioral analysis to demonstrate treatment effects on animal models, which is fundamental for pre-clinical evaluation. Typically, this determination is univariate, neglecting the relevant
Externí odkaz:
https://doaj.org/article/1c8773f0cef747938e0df29b8d662b6a
Autor:
Alejandro León, Varsovia Hernandez, Juan Lopez, Isiris Guzman, Victor Quintero, Porfirio Toledo, Martha Lorena Avendaño-Garrido, Carlos A. Hernandez-Linares, Esteban Escamilla
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 15 (2021)
Understanding behavioral systems as emergent systems comprising the environment and organism subsystems, include spatial dynamics as a primary dimension in natural settings. Nevertheless, under the standard approaches, the experimental analysis of be
Externí odkaz:
https://doaj.org/article/f61766d4abc445f19556ea9bafc451a5
Publikováno v:
Evolutionary Bioinformatics, Vol 15 (2019)
In phylogenetic, the diversity measures as UniFrac, weighted UniFrac, and normalized weighted UniFrac are used to estimate the closeness between two samples of genetic material sequences. These measures are widely used in microbiology to compare micr
Externí odkaz:
https://doaj.org/article/8bbf3cd2938e4e55909ace9b9d23d6c7
Autor:
Adriana Laura López Lobato, Martha Lorena Avendaño Garrido, Héctor Gabriel Acosta Mesa, Clara Luz Sampieri, Víctor Hugo Sandoval Lozano
Publikováno v:
Journal of Bioinformatics and Computational Biology. 20
Gel zymography quantifies the activity of certain enzymes in tumor processes. These enzymes are widely used in medical diagnosis. In order to analyze them, experts classify the zymography spots into various classes according to their tonalities. This
Publikováno v:
Machine Vision Inspection Systems, Volume 2
Autor:
Varsovia Hernández, Esteban Escamilla, Carlos Alberto Hernández-Linares, Porfirio Toledo, Juan Lopez, Martha Lorena Avendaño-Garrido, Victor Quintero, Isiris Guzman, Alejandro León
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 15 (2021)
Frontiers in Behavioral Neuroscience
Frontiers in Behavioral Neuroscience
Behavioral systems, understanding it as an emergent system comprising the environment and organism subsystems, include spatial dynamics as a primary dimension in natural settings. Nevertheless, under the standard approaches, the experimental analysis
Autor:
Porfirio Toledo, I. Luna, Carlos Alberto Hernández-Linares, F. Diaz, V. Hernandez-Eslava, Martha Lorena Avendaño-Garrido, Isiris Guzman, Alejandro León
The continuous analysis of spatial behavioral-dynamics under stimuli-schedules has been a scarcely studied field in experimental psychology. A recent study conducted in our laboratory suggest that the features embedded in the spatial dynamics of beha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4e6afd2cdea3595eea683afe1b92808
https://doi.org/10.1101/2021.07.15.452514
https://doi.org/10.1101/2021.07.15.452514
Autor:
Ursula Huerta, Carlos Alberto Hernández-Linares, Porfirio Toledo, Isiris Guzman, Alejandro León, Martha Lorena Avendaño Garrido, Esteban Escamilla Navarro, Varsovia Hernández
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
Frontiers in Psychology
Frontiers in Psychology
It has been reported in non-contingent schedules that the variety of patterns of behavior is affected by the temporal variation of water deliveries. While temporal variation is accomplished by delivering water at fixed or variable times, spatial vari
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030608866
MICAI (2)
MICAI (2)
A Gaussian mixture model is a weighted sum of parametric Gaussian components. These parametric density functions are widely used in data mining and pattern recognition. In this work we propose an efficient method to model a density function as a Gaus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d85ee379ce0b54db313633456c6339e
https://doi.org/10.1007/978-3-030-60887-3_35
https://doi.org/10.1007/978-3-030-60887-3_35
Autor:
J. E. Escalante-Martínez, Porfirio Toledo, José Alfredo Zavaleta-Viveros, Martha Lorena Avendaño-Garrido
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030608866
MICAI (2)
MICAI (2)
This paper proposes a methodology to approximate an electroencephalographic (EEG) signal. To make it, the signal is decomposed using the Fast Fourier Transform (FFT). The methodology consist of an algorithm that select representatives of each of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eb2fa9a198f3d637b4a732b6e3f2b97
https://doi.org/10.1007/978-3-030-60887-3_28
https://doi.org/10.1007/978-3-030-60887-3_28