Multicomponent Model Of Working Memory Research Articles

Cognitive Load Theory and Human Movement: Towards an Integrated Model of Working Memory

Cognitive load theory (CLT) applies what is known about human cognitive architecture to the study of learning and instruction, to generate insights into the characteristics and conditions of effective instruction and learning. Recent developments in CLT suggest that the human motor system plays an important role in cognition and learning; however, it is unclear whether models of working memory (WM) that are typically espoused by CLT researchers can reconcile these novel findings. For instance, often-cited WM models envision separate information processing systems—such as Baddeley and Hitch’s (1974) multicomponent model of WM—as a means to interpret modality-specific findings, although possible interactions with the human motor system remain under-explained. In this article, we examine the viability of these models to theoretically integrate recent research findings regarding the human motor system, as well as their ability to explain established CLT effects and other findings. We argue, it is important to explore alternate models of WM that focus on a single and integrated control of attention system that is applied to visual, phonological, embodied, and other sensory and nonsensory information. An integrated model such as this may better account for individual differences in experience and expertise and, parsimoniously, explain both recent and historical CLT findings across domains. To advance this aim, we propose an integrated model of WM that envisions a common and finite attentional resource that can be distributed across multiple modalities. How attention is mobilized and distributed across domains is interdependent, co-reinforcing, and ever-changing based on learners’ prior experience and their immediate cognitive demands. As a consequence, the distribution of attentional focus and WM resources will vary across individuals and tasks, depending on the nature of the specific task being performed; the neurological, developmental, and experiential abilities of the individual; and the current availability of internal and external cognitive resources.

Working Memory From the Psychological and Neurosciences Perspectives: A Review.

Since the concept of working memory was introduced over 50 years ago, different schools of thought have offered different definitions for working memory based on the various cognitive domains that it encompasses. The general consensus regarding working memory supports the idea that working memory is extensively involved in goal-directed behaviors in which information must be retained and manipulated to ensure successful task execution. Before the emergence of other competing models, the concept of working memory was described by the multicomponent working memory model proposed by Baddeley and Hitch. In the present article, the authors provide an overview of several working memory-relevant studies in order to harmonize the findings of working memory from the neurosciences and psychological standpoints, especially after citing evidence from past studies of healthy, aging, diseased, and/or lesioned brains. In particular, the theoretical framework behind working memory, in which the related domains that are considered to play a part in different frameworks (such as memory’s capacity limit and temporary storage) are presented and discussed. From the neuroscience perspective, it has been established that working memory activates the fronto-parietal brain regions, including the prefrontal, cingulate, and parietal cortices. Recent studies have subsequently implicated the roles of subcortical regions (such as the midbrain and cerebellum) in working memory. Aging also appears to have modulatory effects on working memory; age interactions with emotion, caffeine and hormones appear to affect working memory performances at the neurobiological level. Moreover, working memory deficits are apparent in older individuals, who are susceptible to cognitive deterioration. Another younger population with working memory impairment consists of those with mental, developmental, and/or neurological disorders such as major depressive disorder and others. A less coherent and organized neural pattern has been consistently reported in these disadvantaged groups. Working memory of patients with traumatic brain injury was similarly affected and shown to have unusual neural activity (hyper- or hypoactivation) as a general observation. Decoding the underlying neural mechanisms of working memory helps support the current theoretical understandings concerning working memory, and at the same time provides insights into rehabilitation programs that target working memory impairments from neurophysiological or psychological aspects.

Semantic congruent audiovisual integration during the encoding stage of working memory: an ERP and sLORETA study

Although multisensory integration is an inherent component of functional brain organization, multisensory integration during working memory (WM) has attracted little attention. The present study investigated the neural properties underlying the multisensory integration of WM by comparing semantically related bimodal stimulus presentations with unimodal stimulus presentations and analysing the results using the standardized low-resolution brain electromagnetic tomography (sLORETA) source location approach. The results showed that the memory retrieval reaction times during congruent audiovisual conditions were faster than those during unisensory conditions. Moreover, our findings indicated that the event-related potential (ERP) for simultaneous audiovisual stimuli differed from the ERP for the sum of unisensory constituents during the encoding stage and occurred within a 236–530 ms timeframe over the frontal and parietal-occipital electrodes. The sLORETA images revealed a distributed network of brain areas that participate in the multisensory integration of WM. These results suggested that information inputs from different WM subsystems yielded nonlinear multisensory interactions and became integrated during the encoding stage. The multicomponent model of WM indicates that the central executive could play a critical role in the integration of information from different slave systems.

Working memory outcomes following unilateral arterial ischemic stroke in childhood

ABSTRACTThere is a dearth of research examining working memory (WM) following pediatric arterial ischemic stroke (AIS). This study assesses the WM patterns of 32 children, aged 6 to 14 years, with a history of unilateral AIS and 32 controls using a paradigm based on Baddeley and Hitch’s multi-component WM model. The results indicate compromised WM in children with AIS relative to controls and parent reports confirm higher rates of dysfunction. Supplementary analyses of impairment confirm higher rates in children with AIS, ranging from 31.25% to 38.70% on performance-based measures and 50.00% on parent reports, compared to 0.00% to 21.88% on performance-based measures in controls and 15.63% on parent reports. Continual follow-up is recommended given that a subset of children with stroke appear to be at risk for WM impairment. Moreover, the subtle nature of WM challenges experienced by many children who have experienced a stroke increases the likelihood that WM impairment could go undetected. The long-term trajectories of WM in the pediatric stroke population remains unknown and future studies are needed to track changes in WM functioning over time.

The mental time travel continuum: on the architecture, capacity, versatility and extension of the mental bridge into the past and future.

Mental time travel (MTT) is the ability to remember past events and to anticipate or imagine events in the future. MTT globally serves to optimize decision-making processes, improve problem-solving capabilities and prepare for future needs. MTT is also essential in providing our concept of self, which includes knowledge of our personality, our strengths and weaknesses, as well as our preferences and aversions. We will give an overview in which ways the capacity of animals to perform MTT is different from humans. Based on the existing literature, we conclude that MTT might represent a quantitative rather than qualitative entity with a continuum of MTT capacities in both humans and nonhuman animals. Given its high complexity, MTT requires a large processing capacity in order to integrate multimodal stimuli during the reconstruction of past and/or future events. We suggest that these operations depend on a highly specialized working memory subsystem, 'the MTT platform', which might represent a necessary additional component in the multi-component working memory model by Alan Baddeley.

Meta-analysis of the research impact of Baddeley’s multicomponent working memory model and Cowan’s embedded-processes model of working memory: A bibliometric mapping approach

Abstract In this study bibliometric mapping method was employed to visualise the current research trends and the impact of the two most influential models of working memory, namely: A. D. Baddeley and G. J. Hitch’s (1974) multicomponent working memory model and N. Cowan’s (1988) embedded-processes model of working memory. Using VOSviewer software two maps were generated based on the index-term words extracted from the research papers citing Baddeley (2000) and Cowan (2001), respectively. The maps represent networks of co-occurrences of index terms and can be interpreted as an indication of the main research fields related to the examined models of WM. The results of the analysis revealed that the spheres of influence of the two main conceptualisations of WM are rather different than similar. Although the first two clusters, i.e. “brain mapping” and “higher-level cognition and development” are present in both maps, their relative importance varies. The remaining clusters are unique to each map. Baddeley’s theory seems to have a greater influence on “neuropsychology”, while Cowan’s theory - on basic research on “biological systems”, including the nervous system in humans and animals. The second difference between these theories concerns their relations to functions and dysfunctions associated with particular sensory modalities: in Baddelay’s theory with the “auditory modality” cluster, and in Cowan’s - with the “visual modality” one.

Working Memory Models: Insights From Neuroimaging.

FIGURE 1. The Atkinson and Shiffrin Model of memory is diagramed in the gray panel. Sensory information is perceived and suppressed via selective attention processes, then briefly held in the limited-capacity modality-specific sensory register. Information enhanced by selective attention enters into short term memory (STM). The process of rehearsal (maintenance) can sustain information in STM. Information in STM is automatically encoded (stored, consolidated) into long term memory (LTM). Although flawed, this model continues to provide a simple and easy approach to understanding memory. Assumptions that proved to be inconsistent with research included that any information in STM will transfer to LTM and that STM is required

A Working Memory System With Distributed Executive Control

Working memory consists of domain-specific storage facilities and domain-general executive control processes. In some working memory theories, these control processes are accounted for via a homunculus, the central executive. In the present article, the author defends a mechanistic view of executive control by adopting the position that executive control is situated in the context of goal-directed behavior to maintain and protect the goal and to select an action to attain the goal. On the basis of findings in task switching and dual tasking, he proposes an adapted multicomponent working memory model in which the central executive is replaced by three interacting components: an executive memory that maintains the task set, a collection of acquired procedural rules, and an engine that executes the procedural rules that match the ensemble of working memory contents. The strongest among the rules that match the ensemble of working memory contents is applied, resulting in changes of the working memory contents or in motor actions. According to this model, goals are attained when the route to the goals is known or can be searched when the route is unknown (problem solving). Empirical evidence for this proposal and new predictions are discussed.

Temporal dynamics of visual working memory

The involvement of the human cerebellum in working memory has been well established in the last decade. However, the cerebro-cerebellar network for visual working memory is not as well defined. Our previous fMRI study showed superior and inferior cerebellar activations during a block design visual working memory task, but specific cerebellar contributions to cognitive processes in encoding, maintenance and retrieval have not yet been established. The current study examined cerebellar contributions to each of the components of visual working memory and presence of cerebellar hemispheric laterality was investigated. 40 young adults performed a Sternberg visual working memory task during fMRI scanning using a parametric paradigm. The contrast between high and low memory load during each phase was examined. We found that the most prominent activation was observed in vermal lobule VIIIb and bilateral lobule VI during encoding. Using a quantitative laterality index, we found that left-lateralized activation of lobule VIIIa was present in the encoding phase. In the maintenance phase, there was bilateral lobule VI and right-lateralized lobule VIIb activity. Changes in activation in right lobule VIIIa were present during the retrieval phase. The current results provide evidence that superior and inferior cerebellum contributes to visual working memory, with a tendency for left-lateralized activations in the inferior cerebellum during encoding and right-lateralized lobule VIIb activations during maintenance. The results of the study are in agreement with Baddeley's multi-component working memory model, but also suggest that stored visual representations are additionally supported by maintenance mechanisms that may employ verbal coding.

The Multicomponent Working Memory Model, Attention, and Long-term Memory in Multimedia Learning: A Comment on Schweppe and Rummer (2014)

Multimedia learning theories rely on findings from different areas of fundamental psychological research. Working memory is undoubtedly a particularly important concept for these theories. However, the application of findings from fundamental research to multimedia learning is not as straightforward as it might seem at first glance, and misinterpretations are pervasive in the literature. The recent article of Schweppe and Rummer (2014) represents an important contribution in this respect. Their paper outlines assumptions in Baddeley and Hitch’s (1974) multicomponent working model and discusses the implementation of these assumptions in popular multimedia learning theories such as the cognitive theory of multimedia learning (CTML; Mayer 2009) and cognitive load theory (CLT; Sweller et al. 2011). The authors then continue arguing that the multicomponent model conceives working memory as structurally separate from long-term memory, and that this assumed separation has drawbacks with regard to explaining a number of effects in multimedia studies. As an alternative foundation for multimedia learning theories, they propose Cowan’s (1999) embedded-processes model. While this effort should be highly valued, the present commentary argues (a) that Schweppe and Rummer’s rejection of the multicomponent model as a basis for multimedia theories is based on a misinterpretation of the relationship between working memory and long-term memory in the multicomponent model, (b) that the multicomponent model and the embeddedprocesses model can be seen as complementary approaches, and (c) that a complete theory of multimedia learning needs to fully integrate both central executive (i.e., attentional) and functionally specialized (e.g., phonological and visuospatial) mechanisms.

A Cognitive Neural Model of Executive Functions in Natural Language Processing

Abstract Although extensive research has been devoted to cognitive models of human language, the role of executive functions in language processing has little been explored. In this work we present a neural-network-based cognitive architecture which models the development of the procedural knowledge that underpin language processing. The large scale organization of the architecture is based on a multi-component working memory model, with a central executive that controls the flow of information among the slave systems through neural gating mechanisms. The system was validated, starting from a tabula rasa condition, on a on a corpus of five datasets, each devoted to a thematic group, based on literature on early language assessment, at the level of a preschool child. The results show that the system is capable of learning different word classes, and to use them in expressive language, through an open-ended incremental learning process, expressing a broad range of language processing functionalities.

Binding in visual working memory: The role of the episodic buffer

The episodic buffer component of working memory is assumed to play a central role in the binding of features into objects, a process that was initially assumed to depend upon executive resources. Here, we review a program of work in which we specifically tested this assumption by studying the effects of a range of attentionally demanding concurrent tasks on the capacity to encode and retain both individual features and bound objects. We found no differential effect of concurrent load, even when the process of binding was made more demanding by separating the shape and color features spatially, temporally or across visual and auditory modalities. Bound features were however more readily disrupted by subsequent stimuli, a process we studied using a suffix paradigm. This suggested a need to assume a feature-based attentional filter followed by an object based storage process. Our results are interpreted within a modified version of the multicomponent working memory model. We also discuss work examining the role of the hippocampus in visual feature binding.

The phonological loop: Some answers and some questions

Jones, Hughes, and Macken (2007) claim that their data and our own are inconsistent with a multicomponent working-memory model. We explain in greater detail how the model can account for the data and can address their more specific criticisms. Both sides accept that data relating to the presence of a phonological similarity effect throughout the list depend on list length. We accept that, at this point, all explanations of their interaction are speculative and require further empirical investigation. We examine J, H, & M's interpretation of their and our results in terms of an auditory modality effect, observing that their interpretation of this effect is not well supported by the literature. We suggest that their account assumes a very narrow basis for a general theory of short-term retention, in contrast to a phonological loop interpretation, which forms part of a well-developed and articulated model of working memory.

Material-dependent Activation in Prefrontal Cortex: Working Memory for Letters and Texture Patterns—Initial Observations

To prospectively evaluate whether a distinction between verbal and nonverbal short-term memory systems, as predicted with the multicomponent working memory model, is reflected in the material-specific patterns of activation in the prefrontal cortex. Informed written consent was obtained from all participants, and the institutional review board approved the study protocol. Echo-planar MR imaging was performed in 12 healthy subjects (five female and seven male subjects), with a mean age of 23.52 years +/- 2.52 (standard deviation) and a range of 20-29 years. A two-back task was used in the verbal and nonverbal versions. In the first version, letters were used as stimuli, and in the second version, the stimuli were abstract texture patterns. Timing parameters for both versions were the same. Statistical analysis of the functional data involved a fixed-effects general linear model. Regions of activation were identified from specific t-statistic contrasts between baseline and active tasks (corrected for whole-brain multiple comparisons). The following suprathreshold voxels for the verbal condition were observed predominantly in the left hemisphere (middle frontal gyrus, precentral gyrus, middle temporal gyrus, and occipital cortex). Bilateral activations were in inferior frontal gyri, insulae inferior, superior parietal lobules, and cingulate gyri. In the nonverbal condition, suprathreshold voxels were located mostly bilaterally in the following regions: inferior, middle, and medial frontal gyri and inferior parietal lobules. Active regions were also found in the precentral gyrus and precuneate gyrus in the left parietal lobe and the occipital cortex in the right hemisphere. Results of this study are consistent with the multicomponent model of working memory.

Digit Span in Dyslexia: Variations According to Language Comprehension and Mathematics Skills

The aim of this study was to investigate digit span performance in dyslexia. It was hypothesised that differences would be found in accordance with subgrouping by language comprehension and mathematic skills, and by analyses of how the digit span scores were attained. Two digit span tasks were given to a group of dyslexic children and controls (n = 57), mean age 12.62 (SD = 1.43). The tasks were “Digit Span” of the WISC-R, and “Digit Span 2,” where the use of back-up strategies like finger counting and lip reading were restricted. As expected, the digit span scores were significantly lower in the dyslexia group than in the control group. Restrictions of back-up strategies did not alter the scores in the control group, while the scores were lowered in the dyslexia group. Further analyses of longest digit span, serial recall, and serial position indicated different retrieval patterns in the subgroups. The subgroup with good language comprehension and mathematic skills (n = 12), showed impaired serial recall especially in backward recall. The subgroup with good language comprehension skills, but with mathematics impairment (n = 9), showed impaired serial recall in both forward and backward recall. The subgroup with language impairments (n = 16), recalled fewer digits than the two other subgroups. The findings were discussed in relation to the “Phonological loop” of the Multi Component Model ofWorking Memory, and implications for intervention were discussed.

Is Working Memory Still Working? 1Copyright © 2001 by the American Psychological Association. Reprinted with permission from the original publication: . “Is Working Memory Still Working?” American Psychologist, 56, 849-864. This re-print publication is arranged in recognition of the conferral on Dr. Baddeley of the Aristotle Prize at the VIIth European Congress of Psychology, London, in July 2001, for his

The current state of A.D. Baddeley and G.J. Hitch's (1974) multicomponent working memory model is reviewed. The phonological and visuospatial subsystems have been extensively investigated, leading both to challenges over interpretation of individual phenomena and to more detailed attempts to model the processes underlying the subsystems. Analysis of the controlling central executive has proved more challenging, leading to a proposed clarification in which the executive is assumed to be a limited capacity attentional system, aided by a newly postulated fourth system, the episodic buffer. Current interest focuses most strongly on the link between working memory and long-term memory and on the processes allowing the integration of information from the component subsystems. The model has proved valuable in accounting for data from a wide range of participant groups under a rich array of task conditions. Working memory does still appear to be working.

Is working memory still working?

The current state of A. D. Baddeley and G. J. Hitch's (1974) multicomponent working memory model is reviewed. The phonological and visuospatial subsystems have been extensively investigated, leading both to challenges over interpretation of individual phenomena and to more detailed attempts to model the processes underlying the subsystems. Analysis of the controlling central executive has proved more challenging, leading to a proposed clarification in which the executive is assumed to be a limited capacity attentional system, aided by a newly postulated fourth system, the episodic buffer. Current interest focuses most strongly on the link between working memory and long-term memory and on the processes allowing the integration of information from the component subsystems. The model has proved valuable in accounting for data from a wide range of participant groups under a rich array of task conditions. Working memory does still appear to be working.