Ndent for most of their durations. However, dependency between going and stopping may arise when subjects are instructed to stop their response for some signals but not for others. The present study used a selective stop hange task with a consistent vs. varied-mapping manipulation to test whether decision difficulty influenced dependence between going and stopping. 3.1. Selective stop hange performance in the consistent and varied-mapping conditions The analysis of the data of four experiments showed that mean signal espond RT was shorter than mean NSC 697286 web no-signal RT in a consistent-mapping condition, but not in a variedmapping condition. The presentation of invalid signals also slowed go processing, especially in the varied-mapping group. Furthermore, inspection of the RT distributions indicated that even the PF-04418948 web fastest responses were influenced by the presentation of signals. Based on SSRTs of previous studies, we estimate that interference between go and stop processing occurred well before the stop process was finished. Combined, these findings indicate that the decision to stop or not interfered with go processing, especially when the signal mapping varied. These findings challenge the independent race models for selective stopping. Our findings also shed a new light on strategy use in selective stop tasks. We categorized each subject’s strategy using the decision matrix proposed in Bissett and Logan (2014; p. 457). Most subjects in the varied-mapping group seemingly used a `Discriminate then Stop’ strategy, with strong dependence between going and stopping, whereas most subjects in the consistent-mapping group seemingly used a `Stop then Discriminate’ strategy. We had expected the opposite pattern of results. 3.2. Capacity sharing in selective stop tasks The main finding of our combined analysis is the dependence between going and stopping, especially in the varied-mapping condition (but note that inspection of the individual data also showed dependence for some subjects in the consistent-mapping group; Fig. 4). We propose that the discrimination or decision component of the selective stop hange task interferes with ongoing go processing in the primary task, and when stop difficulty increases, dependency increases. This effect may be similar to the dual-task costs observed in the psychological refractory period (PRP) paradigm. In the PRP paradigm (Pashler, 1994; Telford, 1931; Welford, 1952), two stimuli are presented in rapid succession and subjects are instructed to respond to each stimulus as quickly as possible. The common finding is that responding to the second stimulus is delayed when the delay between the first and second stimulus is short, whereas responding to the first stimulus is usually not influenced much by the delay (for a short review, see Marois Ivanoff, 2005). Dominant accounts of dual-task performance propose thatCognition. Author manuscript; available in PMC 2016 April 08.Verbruggen and LoganPageselecting the response to the second stimulus does not start before response selection in the first task is finished (e.g. Logan Gordon, 2001; Meyer Kieras, 1997; Pashler, 1994; Pashler Johnston, 1998). However, performance in the first task can be influenced by the selection of the second response (e.g. Hommel, 1998; Logan Delheimer, 2001; Watter Logan, 2006). This has led some researchers to propose capacity-sharing models of dualtask performance (e.g. Miller, Ulrich, Rolke, 2009; Navon Miller, 2002; Tombu J.Ndent for most of their durations. However, dependency between going and stopping may arise when subjects are instructed to stop their response for some signals but not for others. The present study used a selective stop hange task with a consistent vs. varied-mapping manipulation to test whether decision difficulty influenced dependence between going and stopping. 3.1. Selective stop hange performance in the consistent and varied-mapping conditions The analysis of the data of four experiments showed that mean signal espond RT was shorter than mean no-signal RT in a consistent-mapping condition, but not in a variedmapping condition. The presentation of invalid signals also slowed go processing, especially in the varied-mapping group. Furthermore, inspection of the RT distributions indicated that even the fastest responses were influenced by the presentation of signals. Based on SSRTs of previous studies, we estimate that interference between go and stop processing occurred well before the stop process was finished. Combined, these findings indicate that the decision to stop or not interfered with go processing, especially when the signal mapping varied. These findings challenge the independent race models for selective stopping. Our findings also shed a new light on strategy use in selective stop tasks. We categorized each subject’s strategy using the decision matrix proposed in Bissett and Logan (2014; p. 457). Most subjects in the varied-mapping group seemingly used a `Discriminate then Stop’ strategy, with strong dependence between going and stopping, whereas most subjects in the consistent-mapping group seemingly used a `Stop then Discriminate’ strategy. We had expected the opposite pattern of results. 3.2. Capacity sharing in selective stop tasks The main finding of our combined analysis is the dependence between going and stopping, especially in the varied-mapping condition (but note that inspection of the individual data also showed dependence for some subjects in the consistent-mapping group; Fig. 4). We propose that the discrimination or decision component of the selective stop hange task interferes with ongoing go processing in the primary task, and when stop difficulty increases, dependency increases. This effect may be similar to the dual-task costs observed in the psychological refractory period (PRP) paradigm. In the PRP paradigm (Pashler, 1994; Telford, 1931; Welford, 1952), two stimuli are presented in rapid succession and subjects are instructed to respond to each stimulus as quickly as possible. The common finding is that responding to the second stimulus is delayed when the delay between the first and second stimulus is short, whereas responding to the first stimulus is usually not influenced much by the delay (for a short review, see Marois Ivanoff, 2005). Dominant accounts of dual-task performance propose thatCognition. Author manuscript; available in PMC 2016 April 08.Verbruggen and LoganPageselecting the response to the second stimulus does not start before response selection in the first task is finished (e.g. Logan Gordon, 2001; Meyer Kieras, 1997; Pashler, 1994; Pashler Johnston, 1998). However, performance in the first task can be influenced by the selection of the second response (e.g. Hommel, 1998; Logan Delheimer, 2001; Watter Logan, 2006). This has led some researchers to propose capacity-sharing models of dualtask performance (e.g. Miller, Ulrich, Rolke, 2009; Navon Miller, 2002; Tombu J.
