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There is a strong relationship between fluid intelligence and working memory capacity (WMC). Yet, the cognitive mechanisms underlying this relationship remain elusive. The capacity hypothesis states that this relationship is due to limitations in the amount of information that can be stored and held active in working memory. Previous research aimed at testing the capacity hypothesis assumed that it implies stronger relationships of intelligence test performance with WMC for test items with higher capacity demands. The present article addresses this assumption through simulations of three theoretical models implementing the capacity hypothesis while systematically varying different psychometric variables. The results show that almost any relation between the capacity demands of items and their correlation with WMC can be obtained. Therefore, the assumption made by previous studies does not hold: The capacity hypothesis does not imply stronger correlations of WMC and intelligence test items with higher capacity demands. Items varying in capacity demands cannot be used to test the causality of WMC (or any other latent variable) for fluid intelligence.

Finding a probable explanation for observed symptoms is a highly complex task that draws on information retrieval from memory. Recent research suggests that observed symptoms are interpreted in a way that maximizes coherence for a single likely explanation. This becomes particularly clear if symptom sequences support more than one explanation. However, there are no existing process data available that allow coherence maximization to be traced in ambiguous diagnostic situations, where critical information has to be retrieved from memory. In this experiment, we applied memory indexing, an eye-tracking method that affords rich time-course information concerning memory-based cognitive processing during higher order thinking, to reveal symptom processing and the preferred interpretation of symptom sequences. Participants first learned information about causes and symptoms presented in spatial frames. Gaze allocation to emptied spatial frames during symptom processing and during the diagnostic response reflected the subjective status of hypotheses held in memory and the preferred interpretation of ambiguous symptoms. Memory indexing traced how the diagnostic decision developed and revealed instances of hypothesis change and biases in symptom processing. Memory indexing thus provided direct online evidence for coherence maximization in processing ambiguous information.

A long-standing debate in the recognition-memory literature concerns which model provides the best account. Prominent candidates in this debate are the unequal-variance signal detection model (UVSD), the dual-process model (DPSD), and two versions of the mixture model (MSD). The present work evaluates a recently proposed ROC-based method for comparing these models (Dede, Squire, & Wixted, Neuropsychologia, 54, 51–56, 2014). This method consists of evaluating the pattern of residuals produced by each model’s best fits to ROC data. Previous results showed that the DPSD produced systematic residuals while the UVSD did not, a difference that was interpreted as evidence for the superiority of the latter model. Using a linear mixed model (LMM), we evaluated each model’s residuals for 883 individual ROCs. LMM results revealed the presence of systematic residuals in all candidate models, indicating a general failure of these models to capture some of the regularities found in the data. We discuss different ways that current signal detection models can be modified or extended in order to meet the challenge that these systematic residuals represent.

Effective use of working memory (WM) for high-level cognitive tasks requires coordinating two conflicting requirements: robust maintenance and rapid updating. Models of WM suggest that these demands are coordinated by a gate between perceptual input and WM. Previous work with a letter-updating paradigm (Kessler & Oberauer, Journal of Experimental Psychology: Learning, Memory, and Cognition, 40, 738-754, 2014) supported a scanning and gate-switching (SGS) model of WM updating. The present work provides further evidence for the SGS model. Participants were required to keep track of the last letter that appeared in each of a row of frames on the screen. On each updating step, a variable subset of letters in varying positions in the row had to be updated. The SGS model assumes that on each updating step, participants scan through the memory set sequentially, opening the gate when a letter requires updating, and closing the gate when the next letter needs to be maintained. As is predicted by the SGS model, the reaction times for each updating step increased with the number of updated items and with the number of gate switches. In addition, the present experiment provides direct evidence supporting the scanning assumption of the model. Hebrew-speaking participants performed the task with either Hebrew or English letter stimuli, in different blocks. As was predicted, the scanning direction of the stimulus set was from left to right in English and from right to left in Hebrew. The SGS model fit the data only when the scanning direction was taken into account, establishing the role of item-based forward scanning during WM updating.

Is forgetting from working memory (WM) better explained by decay or interference? The answer to this question is the topic of an ongoing debate. Recently, a number of studies showed that performance in tests of visual WM declines with an increasing unfilled retention interval. This finding was interpreted as revealing decay. Alternatively, it can be explained by interference theories as an effect of temporal distinctiveness. According to decay theories, forgetting depends on the absolute time elapsed since the event to be retrieved. In contrast, temporal distinctiveness theories predict that memory depends on relative time, that is, the time since the to-be-retrieved event relative to the time since other, potentially interfering events. In the present study, we contrasted the effects of absolute time and relative time on forgetting from visual WM, using a continuous color recall task. To this end, we varied the retention interval and the inter-trial interval. The error in reporting the target color was a function of the ratio of the retention interval to the inter-trial interval, as predicted by temporal distinctiveness theories. Mixture modeling revealed that lower temporal distinctiveness produced a lower probability of reporting the target, but no changes in its precision in memory. These data challenge the role of decay in accounting for performance in tests of visual WM, and show that the relative spacing of events in time determines the degree of interference.

Many researchers regard the word-length effect (WLE) as one of the strongest pieces of evidence for time-based decay in short-term memory. We argue that the WLE is, in fact, undiagnostic for the decay hypothesis for two reasons. First, the WLE represents a correlation across words between articulation duration and memory performance, and articulation duration is inevitably confounded with other word characteristics. Recent research has confirmed that such confounds are responsible for much, maybe all, of the WLE. Second, there is strong evidence for an attentional mechanism of refreshing memory traces that can operate concurrently with articulation. Any viable decay-based model must include such a mechanism, but such a model no longer necessarily predicts a WLE, because longer spoken duration does not imply longer postponement of refreshing. We conclude that the WLE is not diagnostic for decay in short-term memory.

Inhibition of abandoned tasks in task switching can be inferred when a worse performance is found with n - 2 task repetitions (ABA sequences) than with nonrepetitions (CBA sequences). Recent evidence has shown that this inhibition effect decreases with long intertrial intervals (i.e., response-cue intervals, RCIs). Two alternatives have been proposed to account for this decrease. One alternative attributes the observed decrease to the decay of inhibition itself. The other alternative proposes that decay of the activation of competing tasks reduces the interference and leads to less inhibition. To decide between these alternatives, we manipulated RCI trialwise. The results favor the decay-of-activation account as an explanation for the decreased inhibition effect. This links the amount of inhibition to the activation level of the competing tasks, whereas evidence for the decay of inhibition remains weak.