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Long memory in tapping taskets : a modified Wing-Kristopperson model

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Resumo:The Wing-Kristofferson model offers a decomposition of the inter-response intervals in tapping tasks, based on a cognitive component and on a motor component. We suggest a new theoretical approach to this model in which the cognitive component is modeled as a long-memory process and the motor component is treated as a white noise process, independent of each other. Under these assumptions, we obtained the autocorrelation function and the spectral density function of the model. Furthermore, we propose an estimator based on the maximization of the frequency domain representation of the likelihood function. We conducted a simulation study to assess the sample properties of this estimator and performed an experimental study involving tapping tasks with two target frequencies (1.250 Hz and 0.625 Hz).
Autores principais:Diniz, Ana
Outros Autores:Barreiros, João; Crato, Nuno
Assunto:Tapping Tasks Long Memory Autocorrelation Function Spectral Density Function
Ano:2008
País:Portugal
Tipo de documento:preprint
Tipo de acesso:acesso aberto
Instituição associada:Universidade de Lisboa
Idioma:inglês
Origem:Repositório da Universidade de Lisboa
Descrição
Resumo:The Wing-Kristofferson model offers a decomposition of the inter-response intervals in tapping tasks, based on a cognitive component and on a motor component. We suggest a new theoretical approach to this model in which the cognitive component is modeled as a long-memory process and the motor component is treated as a white noise process, independent of each other. Under these assumptions, we obtained the autocorrelation function and the spectral density function of the model. Furthermore, we propose an estimator based on the maximization of the frequency domain representation of the likelihood function. We conducted a simulation study to assess the sample properties of this estimator and performed an experimental study involving tapping tasks with two target frequencies (1.250 Hz and 0.625 Hz).