Such findings, and the attention-for-learning account overall, are consistent with the EVC model of dACC, insofar as the signals driving top-down attention and/or increases in learning rates may be considered as control signals. Thus buy Screening Library far,

we have treated the specification of identity and intensity separately. In reality, however, the identity and intensity of the control signal must be jointly specified (see Figure 2). For example, to perform color naming in the Stroop task, the control system must specify both the identity of the control signal (the color naming task), as well as the intensity needed to overcome any conflict from the word. Such circumstances are representative of a broader class of conditions often described as default override. In general, this refers to situations in which the task to be performed is less automatic than the default behavior in that circumstance; that is, the behavior that Tariquidar in vivo would normally occur in absence of control and is the source of conflict. Under such circumstances, adequate control is needed

to override the default response, and execute the specified task (see, e.g., Shah and Oppenheimer, 2008). Some of the earliest neuroimaging studies of cognitive control established a role for dACC in overriding default behavior (e.g., Paus et al., 1993). The dACC’s involvement in overriding defaults has been seen Ergoloid not only when the participant is explicitly instructed to perform the nondefault behavior, but also when they voluntarily make a choice

that runs counter to current task- or context-defined defaults, including choices to go against gain versus loss frames (De Martino et al., 2006), against the status quo (Fleming et al., 2010), against Pavlovian response-outcome associations (Cavanagh et al., 2013), or against a group decision (Tomlin et al., 2013). Three additional circumstances that involve default override, and that have begun to attract considerable attention, are exploration, foraging, and intertemporal choice. Exploration. This refers to behavior that favors information gathering with the prospect that this will yield greater future reward, over the pursuit of behavior with known and usually more immediate reward (i.e., exploitation). People generally exhibit a strong bias toward the pursuit of more immediate reward, so exploitation can be considered the default. Choosing to explore therefore requires overriding this default, and thus allocating control. Accordingly, the EVC model predicts that exploration should engage dACC (for related accounts, see Aston-Jones and Cohen, 2005 and Khamassi et al., 2010). This prediction was borne out in a study carried out by Daw et al. (2006). Participants chose among four options providing probabilistic reward that varied gradually over time.