Importantly, whereas the multi-component model is primarily concerned with examining the various domain-specific components (e.g., phonological store, visual cache), the multifaceted view is primarily

concerned with delimiting the important central executive type processes that are important for performance and for the relation between WM and higher-order cognition. Within the current multifaceted view we suggest that capacity, attention control, and secondary Dolutegravir supplier memory are three of the most important factors (although see below for other factors) that individuals differ on and account for the predictive power of WM. In the current framework capacity refers to the ability to individuate and maintain distinct items in a highly active state. Individuals differ in the extent to which they can apprehend multiple items which results in basic differences in the number of items that can be maintained at a given time. This overall notion of capacity differences is consistent with prior work on primary memory (Craik and Levy, 1976, James, 1890, Unsworth and Engle, 2007a, Unsworth et al., 2010 and Waugh and Norman, 1965)

and more recent work examining the scope of attention (Cowan, 2001, Cowan, 2005 and Cowan et al., 2005) as well as work examining capacity limits in visual working memory (Fukuda et al., 2010, Luck and Vogel, 1997 and Luck and Vogel, 2013). Collectively this work suggests that a key component of WM is the ability to simultaneous apprehend multiple Lumacaftor mouse items in an active state in order to facilitate the processing Calpain of task relevant information (e.g., Anderson et al., 2013 and Ester et al., 2012). Indeed, a recent study demonstrated that the same individual differences in capacity are observed even when the TBR items remain continuously visible to the observer, suggesting that this reflects a representational limit rather than a limit of storage (Tsubomi, Fukuda, Watanabe,

& Vogel, 2013). As such, capacity will be needed in a number of situations where items need to be differentiated. For example, capacity is needed to associate multiple items so that their representations are encoded into secondary memory. Likewise capacity is needed to maintain multiple aspects of a message whether it is written text or vocal information to facilitate comprehension. In terms of fluid intelligence measures, capacity is needed to maintain distinct representations and to recombine these representations into new forms to successfully solve problems and reason about relations. Thus, within the overall WM system capacity is needed to ensure that multiple distinct items can be individuated and maintained in an active state. Closely related to capacity is attention control. Within the current framework, attention control refers to the ability to select and actively maintain items in the presence of internal and external distraction (Engle & Kane, 2004).