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Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model

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Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model

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Iglesias-Martinez, ME.; Hernaiz-Guijarro, M.; Castro-Palacio, JC.; Fernández De Córdoba, P.; Isidro, J.; Navarro-Pardo, E. (2020). Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model. Mathematics. 8(11):1-11. https://doi.org/10.3390/math8111979

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Título: Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model
Autor: Iglesias-Martinez, Miguel E. Hernaiz-Guijarro, Moises Castro-Palacio, Juan Carlos Fernández de Córdoba, Pedro Isidro, J.M. Navarro-Pardo, Esperanza
Entidad UPV: Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - Institut Universitari de Matemàtica Pura i Aplicada
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Fecha difusión:
Resumen:
[EN] The reaction times of individuals over consecutive visual stimuli have been studied using an entropy-based model and a failure machinery approach. The used tools include the fast Fourier transform and a spectral entropy ...[+]
Palabras clave: Reaction time , Visual stimuli , Fast Fourier transform , Spectral analysis , MTBF model
Derechos de uso: Reconocimiento (by)
Fuente:
Mathematics. (eissn: 2227-7390 )
DOI: 10.3390/math8111979
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/math8111979
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-102256-B-I00/ES/TRANSFERENCIA DE CALOR EN FLUJOS DE PARED: CANALES Y CAPAS LIMITES/
Agradecimientos:
This research was partially supported by grant no. RTI2018-102256-B-I00 (Spain).
Tipo: Artículo

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