Vinciane Gaillard

Working Memory Span Development: A Time-Based Resource-Sharing Model Account.

The time-based resource-sharing model (P. Barrouillet, S. Bernardin, & V. Camos, 2004) assumes that during complex working memory span tasks, attention is frequently and surreptitiously switched from processing to reactivate decaying memory traces before their complete loss. Three experiments involving children from 5 to 14 years of age investigated the role of this reactivation process in developmental differences in working memory spans. Though preschoolers seem to adopt a serial control without any attempt to refresh stored items when engaged in processing, the reactivation process is efficient from age 7 onward and increases in efficiency until late adolescence, underpinning a sizable part of developmental differences.

Developmental differences in working memory: Where do they come from?

Several models assume that working memory development depends on age-related increases in efficiency and speed of processing. However, age-related increases in the efficiency of the mechanisms that counteract forgetting and restore memory traces may also be important. This hypothesis was tested in three experiments by manipulating both the processing duration within a working memory task and the time available to restore memory traces. Third- and sixth-grade children performed a complex span task in which they maintained series of letters while adding numbers to series of digits. When we equated processing and restoration times between ages, the developmental difference in working memory span was reduced but remained significant. However, this residual difference was eliminated when the time available to reactivate memory traces was tailored to the processing speed of each age group. This indicates that children employ active mechanisms for maintenance and restoration of memory traces that develop with age.

Effects of age and practice in sequence learning: A graded account of ageing, learning, and control

The influence of age and practice level was investigated in sequence learning by testing young, middle-aged, and older participants, who first performed a serial reaction time (SRT) task, either after a short or a long training phase (15 vs. 30 training blocks). Unknown to them, successive stimuli followed a repeating pattern. After training, participants performed a sequence generation task under inclusion and exclusion instructions, and a recognition task. SRT and generation data indicate (1) preserved learning and generation abilities in ageing and (2) beneficial effects of extended practice. By contrast, recognition data suggest that ageing tends to impair discrimination performance. Implications of these findings for understanding the effects of age and practice on the ability to control sequential knowledge are discussed in terms of the involvement of gradual representations of sequence structure.

Cognitive development and working memory: A dialogue between neo-piagetian theories and cognitive approaches

P.Barrouillet, V.Gaillard, Introduction: From Neo-Piagetian Theories to Working memory Development Studies Part 1. Neo Piagetian Theories to Working Memory Development Studies J. Pascual-Leone, J. Johnson, A Developmental Theory of Mental Attention: Its Application to Measurement and Task Analysis G. Andrews, G.S.Halford, Recent Advances in Relational Complexity Theory and Its Application to Cognitive Development A. Demetriou, A. Mouyi, Processing Efficiency, Representational Capacity, and Reasoning: Modelling Their Dynamic Interactions A. De Ribaupierre, D. Fagot, T. Lecerf, Working Memory Capacity and its Role in Cognitive Development: Are Age Differences Driven by the Same Processes Across the Lifespan? Part 2. Underlying Processes of Working Memory Development N.Cowan, C.C.Morey, A.M. AuBuchon, C.E. Zwilling, A.L.Gilchrist, J. Scott Saults, New Insights Into An Old Problem: Distinguishing Storage From Processing in the Development of Working Memory V. Camos, P. Barrouillet, Factors of Working Memory Development: The Time-Based Resource-Sharing Approach C. Jarrold, H. Tam, Rehearsal and the Development of Working Memory Part 3. Working Memory in Typical and Atypical Development H.L. Swanson, The Influence of Working Memory Growth on Reading and Math Performance in Children With Math And/ Or Reading Disabilities T. Packiam Alloway, L. Archibald, Working Memory in Development: Links with Learning Between Typical and Atypical Populations

Dissociating Conscious and Unconscious Learning With Objective and Subjective Measures

According to functionalist theories, consciousness can be defined by the functions that it serves and by the way it contributes to cognition. For example, when trying to establish dissociations between conscious and unconscious knowledge, conscious representations would be identified by the fact that they allow cognitive control or successful identification or recollection, assessed by verbal reports or forced-choice tasks. Even though the functionalist approach has brought about important dissociation results concerning conscious and unconscious cognition, critics emphasize that it does not account for the qualitative properties of conscious experience. Phenomenal theories are precisely based on the notion that conscious representations are such that it feels like something to have these representations. Thus, one way to assess conscious knowledge is to ask people, after they have produced a forced-choice response, to identify their mental states through the use of subjective confidence ratings, in which they discriminate between a complete guess and a response based on some feeling of knowing. However, these 2 approaches are not mutually exclusive. In this article, we review a series of studies showing that the joint use of objective judgments about some external stimuli and about one’s own subjective knowledge concerning these stimuli, provides new insights into the putative dissociation between conscious and unconscious knowledge in learning.

Visual statistical learning in children and young adults: how implicit?

Visual statistical learning (VSL) is the ability to extract the joint and conditional probabilities of shapes co-occurring during passive viewing of complex visual configurations. Evidence indicates that even infants are sensitive to these regularities (e.g., Kirkham et al., 2002). However, there is continuing debate as to whether VSL is accompanied by conscious awareness of the statistical regularities between sequence elements. Bertels et al. (2012) addressed this question in young adults. Here, we adapted their paradigm to investigate VSL and conscious awareness in children. Using the same version of the paradigm, we also tested young adults so as to directly compare results from both age groups. Fifth graders and undergraduates were exposed to a stream of visual shapes arranged in triplets. Learning of these sequences was then assessed using both direct and indirect measures. In order to assess the extent to which learning occurred explicitly, we also measured confidence through subjective measures in the direct task (i.e., binary confidence judgments). Results revealed that both children and young adults learned the statistical regularities between shapes. In both age groups, participants who performed above chance in the completion task had conscious access to their knowledge. Nevertheless, although adults performed above chance even when they claimed to guess, there was no evidence of implicit knowledge in children. These results suggest that the role of implicit and explicit influences in VSL may follow a developmental trajectory.

Assessing segmentation processes by click detection: online measure of statistical learning, or simple interference?

Statistical learning can be used to extract the words from continuous speech. Gómez, Bion, and Mehler (Language and Cognitive Processes, 26, 212–223, 2011) proposed an online measure of statistical learning: They superimposed auditory clicks on a continuous artificial speech stream made up of a random succession of trisyllabic nonwords. Participants were instructed to detect these clicks, which could be located either within or between words. The results showed that, over the length of exposure, reaction times (RTs) increased more for within-word than for between-word clicks. This result has been accounted for by means of statistical learning of the between-word boundaries. However, even though statistical learning occurs without an intention to learn, it nevertheless requires attentional resources. Therefore, this process could be affected by a concurrent task such as click detection. In the present study, we evaluated the extent to which the click detection task indeed reflects successful statistical learning. Our results suggest that the emergence of RT differences between within- and between-word click detection is neither systematic nor related to the successful segmentation of the artificial language. Therefore, instead of being an online measure of learning, the click detection task seems to interfere with the extraction of statistical regularities.

The influence of articulatory suppression on the control of implicit sequence knowledge

The present study investigated the consciousness-control relationship by suppressing the possibility to exert executive control on incidentally acquired knowledge. Participants first learned a sequence of locations through a serial reaction time (SRT) task. Next, to assess the extent to which the incidentally acquired knowledge was available to executive control, they were asked both to generate the learned sequence under inclusion instructions, and then to avoid the generation of the learned sequence under exclusion instructions. We manipulated the possibility for participants to recruit control processes in the generation task in three different conditions. In addition to a control condition, participants generated sequences under inclusion and exclusion concurrently with either articulatory suppression or foot tapping. In a final recognition task, participants reacted to old vs. new short sequences (triplets), and judged, for each sequence, whether it had been presented before or not. Results suggest that articulatory suppression specifically impairs exclusion performance by interfering with inner speech. Because participants were nevertheless able to successfully recognize fragments of the training sequence in the recognition task, this is indicative of a dissociation between control and recognition memory. In other words, this study suggests that executive control and consciousness might not be associated in all circumstances.

Manipulating attentional load in sequence learning through random number generation.

Implicit learning is often assumed to be an effortless process. However, some artificial grammar learning and sequence learning studies using dual tasks seem to suggest that attention is essential for implicit learning to occur. This discrepancy probably results from the specific type of secondary task that is used. Different secondary tasks may engage attentional resources differently and therefore may bias performance on the primary task in different ways. Here, we used a random number generation (RNG) task, which may allow for a closer monitoring of a participant’s engagement in a secondary task than the popular secondary task in sequence learning studies: tone counting (TC). In the first two experiments, we investigated the interference associated with performing RNG concurrently with a serial reaction time (SRT) task. In a third experiment, we compared the effects of RNG and TC. In all three experiments, we directly evaluated participants’ knowledge of the sequence with a subsequent sequence generation task. Sequence learning was consistently observed in all experiments, but was impaired under dual-task conditions. Most importantly, our data suggest that RNG is more demanding and impairs learning to a greater extent than TC. Nevertheless, we failed to observe effects of the secondary task in subsequent sequence generation. Our studies indicate that RNG is a promising task to explore the involvement of attention in the SRT task.

Reversible Second­Order Conditional sequences in Incidental Sequence Learning tasks

In sequence learning tasks, participants’ sensitivity to the sequential structure of a series of events often overshoots their ability to express relevant knowledge intentionally, as in generation tasks that require participants to produce either the next element of a sequence (inclusion) or a different element (exclusion). Comparing generation performance under inclusion and exclusion conditions makes it possible to assess the respective influences of conscious and unconscious learning. Recently, two main concerns have been expressed concerning such tasks. First, it is often difficult to design control sequences in such a way that they enable clear comparisons with the training material. Second, it is challenging to ask participants to perform appropriately under exclusion instructions, for the requirement to exclude familiar responses often leads them to adopt degenerate strategies (e.g., pushing on the same key all the time), which then need to be specifically singled out as invalid. To overcome both concerns, we introduce reversible second-order conditional (RSOC) sequences and show (a) that they elicit particularly strong transfer effects, (b) that dissociation of implicit and explicit influences becomes possible thanks to the removal of salient transitions in RSOCs, and (c) that exclusion instructions can be greatly simplified without losing sensitivity.