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Bussey, T. J., Saksida, L. M. & Murray, E. A. The perceptual-mnemonic/feature conjunction model of perirhinal cortex function.
The dynamic characteristics including natural frequency and mode shape of the conjunction model are analyzed and their influence on the machining quality in high-speed milling is discussed.
In this study, attention is focus on the conjunction model between the lengthened shrink-fit holder and cutting tool in the way of a finite element analysis (FEA).
Such findings are potentially problematic for the perceptual-mnemonic/feature conjunction model.
An alternative explanation comes from the perceptual-mnemonic/feature conjunction model (Cowell et al., 2006; Bartko et al., 2007a).
One influential description of perirhinal cortex function that emphasizes its perceptual contributions is the perceptual-mnemonic/feature conjunction model (Bussey, Saksida, & Murray, 2002, 2005).
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This finding emphasizes the importance of exploring different models (in conjunction with model validation) to understand brain mechanisms that support cognitive operations.
In the case of climate change, crop simulation modelling is used in conjunction with modelling of future climates.
As in Part 1, carbon monoxide and particulate matter emissions are recorded in conjunction with model validation.
The Bayes Empirical Bayes (BEB) method was conducted in conjunction with model M8 to identify specific amino acid sites experiencing bouts of adaptive evolution [ 36].
The use of longitudinal follow-up data in conjunction with model updating procedures, such as the Bayesian estimation procedure described here, will allow an analytical framework to achieve this objective.
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