Context Of Retrieval Research Articles

A model for recovery-from-extinction effects in Pavlovian conditioning and exposure therapy.

Exposure therapy is an effective intervention for anxiety-related problems. The mechanism of this intervention has been the extinction procedure in Pavlovian conditioning, and this application has provided many successful instances for the prevention of relapse. However, traditional associative theories cannot comprehensively explain many findings. In particular, it is difficult to explain the recovery-from-extinction effects, which is the reappearance of the conditioned response following extinction. In this paper, we propose an associative model that is a mathematical extension of Bouton's (1993, Psychological Bulletin, 114, 80-99) model for the extinction procedure. The core of our model is that the asymptotic strength of the inhibitory association depends on the degree of excitatory association retrieved in a context in which a conditioned stimulus (CS) is presented and that the retrieval is determined by the similarity between contexts during both reinforcement and non-reinforcement and the retrieval context. Our model provides an explanation of the recovery-from-extinction effects, and implications for exposure therapy.

Do item-dependent context representations underlie serial order in cognition? Commentary on Logan (2021).

Logan (2021) presented an impressive unification of serial order tasks including whole report, typing, and serial recall in the form of the context retrieval and updating (CRU) model. Despite the wide breadth of the model's coverage, its reliance on encoding and retrieving context representations that consist of the previous items may prevent it from being able to address a number of critical benchmark findings in the serial order literature that have shaped and constrained existing theories. In this commentary, we highlight three major challenges that motivated the development of a rival class of models of serial order, namely positional models. These challenges include the mixed-list phonological similarity effect, the protrusion effect, and interposition errors in temporal grouping. Simulations indicated that CRU can address the mixed-list phonological similarity effect if phonological confusions can occur during its output stage, suggesting that the serial position curves from this paradigm do not rule out models that rely on interitem associations, as has been previously been suggested. The other two challenges are more consequential for the model's representations, and simulations indicated the model was not able to provide a complete account of them. We highlight and discuss how revisions to CRU's representations or retrieval mechanisms can address these phenomena and emphasize that a fruitful direction forward would be to either incorporate positional representations or approximate them with its existing representations. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A Novel Approach for Contextual Clustering and Retrieval of Behavior Trees to Enrich the Behavior of Social Intelligent Agents

Recently, many works have been carried out to find effective ways that can allow for plausibly effective interactions of social intelligent agents (SIAs) in unpredictable environments in a reasonable time. Behavior trees (BTs) allow for knowledge to be modeled as a graph representation and provide a way for SIAs to effectively interact with the received information. BTs can store past social experiences that can then be used by SIAs to provide adequate human-like interactions when facing new social situations (query). One challenge appears when a social agent with vast past experiences—represented as a forest of BTs—tries to retrieve a similar BT to learn from in order to provide plausible interactions in the current situation in a cost-effective manner. Cognitive scripts with their inherent temporal structure can address this challenge where they can facilitate the use of contextual retrieval techniques on BTs represented as cognitive scripts. This paper introduces novel hybrid retrieval techniques that use agglomerative hierarchical clustering (H-clustering) and similarity-based algorithms: map-and-reduce and least common parent (LCP) to effectively retrieve similar BTs to a specific query BT in a reasonable time. The model groups BTs, represented as cognitive scripts, into compact clusters that can then be used to retrieve the most similar BT to a query one in real time without noticeable delay. A comparison was done between the performance of the proposed hybrid-retrieval techniques using a semi-structured dataset of cognitive scripts. The results showed that H-clustering-map-and-reduce is more cost-effective than H-clustering-LCP as it allowed for a low average retrieval time of 8 × 10−3 s compared to 3.1 s, respectively.

An ontological architecture for context data retrieval and ranking using SVM and DNN

Context retrieval and ranking have always been an area of interest for researchers around the world. The ranking provides significance to the data that has to be presented in front of users but it also consumes time if the ranking architecture is not organized. The retrieval is dependent upon the co-relation among the data attributes that are supplied against a class label also referred to as ground truth and the ranking depends upon the sensing polarity that indicates the hold of the outcome towards asked information. This paper illustrates an ontological architecture that involves two phases namely context retrieval and ranking. The ranking phase is composed of three different algorithm architectures namely k-means, Support Vector Machines (SVM), and Deep Neural Networks (DNN). The DNN is tuned to fit and work as per the availability of a total number of samples. The proposed work has been evaluated for both quantitative and qualitative parameters in different sets and scenarios. The proposed work has also been compared with other state of art techniques and is illustrated in the paper itself.

Mathematical Morphology View of Topological Rough Sets and Its Applications

This article focuses on the relationship between mathematical morphology operations and rough sets, mainly based on the context of image retrieval and the basic image correspondence problem. Mathematical morphological procedures and set approximations in rough set theory have some clear parallels. Numerous initiatives have been made to connect rough sets with mathematical morphology. Numerous significant publications have been written in this field. Others attempt to show a direct connection between mathematical morphology and rough sets through relations, a pair of dual operations, and neighborhood systems. Rough sets are used to suggest a strategy to approximate mathematical morphology within the general paradigm of soft computing. A single framework is defined using a different technique that incorporates the key ideas of both rough sets and mathematical morphology. This paper examines rough set theory from the viewpoint of mathematical morphology to derive rough forms of the morphological structures of dilation, erosion, opening, and closing. These newly defined structures are applied to develop algorithm for the differential analysis of chest X-ray images from a COVID-19 patient with acute pneumonia and a health subject. The algorithm and rough morphological operations show promise for the delineation of lung occlusion in COVID-19 patients from chest X-rays. The foundations of mathematical morphology are covered in this article. After that, rough set theory ideas are taken into account, and their connections are examined. Finally, a suggested image retrieval application of the concepts from these two fields is provided.

Exploring Brain Activation of Single-Digit and Double-digit in Familiar and Unfamiliar Numerals: A Functional MRI Study

The ability to symbolise numbers using numerals is unique to humans and the acquisition of this ability needs to be done via learning [1]. Repeated exposure to sensory input can result in learning-induced alterations to the brain, forming memory engrams that are crucial for memory storage and retrieval [2]. Familiarity is an important factor that affects memory performance because familiar stimuli tend to have stronger memory strength with pre-existing knowledge representation stored in long-term memory, while unfamiliar or novel stimuli do not [1,3]. Past studies have suggested a few putative Number Form Area (NFA), located in the ventral occipitotemporal gyrus, are involved in processing visual number symbols [4 – 6]. It has been put forward that the acquisition of the semantic information of the numerical symbols might be a prerequisite for the activation of the NFA. However, much of its semantic information remains unknown. Figure 1 presented the conceptual framework of the present study.
 
 The present study aims to explore the brain activation associated with familiar and unfamiliar numerals of single-digit and double-digit. The targeted population of the present study will be Malaysian young adults between the age ranges of 18 to 30 years old. The present study will employ a quantitative cross-sectional observational research design. In particular, a within-subjects experimental study design with two factors: type of familiarity (familiar vs. unfamiliar) and the number of digits (single-digit vs. double-digit), will be used to measure the dependent variables including reaction time, accuracy, and brain activations of each participant in all experimental conditions: (1) familiar single-digit, (2) familiar double-digit, (3) unfamiliar single-digit, and (4) unfamiliar double-digit. An fMRI block design paradigm will be utilised, where the participants will be presented with single-digit and double-digit familiar (Chinese) numerals and unfamiliar (Arabic) numerals during the learning (encoding) phase and will be asked to complete the forced-choice memory task during the memory (retrieval) phase. In the experiment, participants’ structural and functional brain images will be collected using 3-Tesla Achieva MRI Scanner (Achieva, Philips, the Netherlands). Behavioural measurements such as reaction time and accuracy of the answer will be recorded based on the responses given by the participants during the fMRI task. Two-way repeated-measures ANOVA tests will be performed to compare the mean difference in reaction time, accuracy, and brain activation between the conditions. The brain activation will undergo pre- and post-processing using Matlab MATLAB software, Statistical Parametric Mapping 12, CONN toolbox and MarsBar toolbox.
 A significantly shorter reaction time and higher accuracy are expected to be observed in familiar as compared to unfamiliar conditions because familiar stimuli are being encountered relatively often in different contexts, which are likely to have broader retrieval contexts and stable mental representation stored in the long-term memory. Besides, it is predicted that brain areas such as the thalamus and the NFA will be highly engaged during the familiar conditions because thalamic nuclei have been reported to underpin familiarity memory [3] and the NFA has been put forward to hold a role in processing meaningful visual numerical symbols [4]. As for unfamiliar condition, the hippocampus and prefrontal cortex (PFC) is predicted to be highly engaged because unfamiliar numerals do not have pre-existing representation stored in the memory, thus it may trigger an active memory encoding process during the learning phase. The retrieval of memory of unfamiliar stimuli at a more recent time point after learning is thought to heavily rely on the hippocampus subregions and the PFC that are highly engaged during the memory encoding process.
 
 In conclusion, significantly better memory performances will be observed with familiar numerals as compared to unfamiliar numeral conditions. Differential neuronal activations will be observed between familiar and unfamiliar numeral conditions.

Fuzzy-trace theory and false memory: Meta-analysis of conjoint recognition.

The conjoint-recognition model (CRM) implements fuzzy-trace theory's opponent process conception of false memory. Within the family of measurement models that separate the memory effects of recollection and familiarity, CRM is the only one that accomplishes this for false as well as true memory. We assembled a corpus of 537 sets of conjoint-recognition data, with estimates of CRM's parameters plus goodness-of-fit statistics being available for all the data sets. This corpus was used to conduct a meta-analysis of CRM's underlying process assumptions by pitting two theoretical interpretations of the model against each other: (a) the original interpretation, which assumes that its retrieval parameters tap a single recollection process (verbatim retrieval) and a single familiarity process (gist retrieval), and (b) the dual-recollection interpretation, which assumes that its parameters also tap a second recollection process (context retrieval). The two interpretations generate a series of differential predictions that fall into three groups-namely, predictions about invariant relations among parameters, about the structure of CRM's parameter space, and about the location of individual parameters within the space. When these predictions were evaluated with the corpus, the results converged on the dual-recollection interpretation. The results also resolved a long-standing uncertainty about whether the familiarity process for true memory is semantically or perceptually driven. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Dual-Level Representation Enhancement on Characteristic and Context for Image-Text Retrieval

Image-text retrieval is a fundamental and vital task in multi-media retrieval and has received growing attention since it connects heterogeneous data. Previous methods that perform well on image-text retrieval mainly focus on the interaction between image regions and text words. But these approaches lack joint exploration of characteristics and contexts of regions and words, which will cause semantic confusion of similar objects and loss of contextual understanding. To address these issues, a dual-level representation enhancement network (DREN) is proposed to strength the characteristic and contextual representations by innovative block-level and instance-level representation enhancement modules, respectively. The block-level module focuses on mining the potential relations between multiple blocks within each instance representation, while the instance-level module concentrates on learning the contextual relations between different instances. To facilitate the accurate matching of image-text pairs, we propose the graph correlation inference and weighted adaptive filtering to conduct the local and global matching between image-text pairs. Extensive experiments on two challenging datasets (i.e., Flickr30K and MSCOCO) verify the superiority of our method for image-text retrieval.

Adult age differences in subjective context retrieval in dual-list free recall

ABSTRACT Age-related episodic memory deficits imply that older and younger adults differentially retrieve and monitor contextual features that indicate the source of studied information. Such differences have been shown in subjective reports during recognition and cued recall as well as process estimates derived from computational models of free recall organisation. The present study extends the subject report method to free recall to characterise age differences in context retrieval and monitoring, and to test assumptions from a context-based computational model. Older and younger adults studied two lists of semantically related words and then recalled from only the first or second list. After each recall, participants indicated their subjective context retrieval using remember/know judgments. Compared to younger adults, older adults showed lower recall accuracy and subjective reports of context retrieval (i.e., remember judgments) that were less specific to correct recalls. These differences appeared after first-recall attempts. Recall functions conditioned on serial positions were more continual across correct recalls from target lists and intrusions from non-target lists for older than younger adults. Together with other analyses of context retrieval and monitoring reported here, these findings suggest that older adults retrieved context less distinctively across the recall period, leading to greater perceived similarity for temporally contiguous lists.

Interviewing in virtual environments: Towards understanding the impact of rapport-building behaviours and retrieval context on eyewitness memory

Given the complexities of episodic memory and necessarily social nature of in-person face-to-face interviews, theoretical and evidence-based techniques for collecting episodic information from witnesses, victims, and survivors champion rapport-building. Rapport is believed to reduce some of the social demands of recalling an experienced event in an interview context, potentially increasing cognitive capacity for remembering. Cognitive and social benefits have also emerged in remote interview contexts with reduced anxiety and social pressure contributing to improved performance. Here, we investigated episodic memory in mock-eyewitness interviews conducted in virtual environments (VE) and in-person face-to-face (FtF), where rapport-building behaviours were either present or absent. Main effects revealed when rapport was present and where interviews were conducted in a VE participants recalled more correct event information, made fewer errors and were more accurate. Moreover, participants in the VE plus rapport-building present condition outperformed participants in all other conditions. Feedback indicated both rapport and environment were important for reducing the social demands of a recall interview, towards supporting effortful remembering. Our results add to the emerging literature on the utility of virtual environments as interview spaces and lend further support to the importance of prosocial behaviours in applied contexts.

Core lexicon in aphasia: A longitudinal study

ABSTRACT Background General consensus exists between clinicians as to the incorporation of discourse outcome measures into language assessment for persons with aphasia (PWA). The development of core lexicon measures (CoreLex) has enabled clinicians to reduce time and labor intensive preparatory work for discourse analysis, which has been considered as an alternative measure to quantify word retrieval ability in discourse in a clinical context. Although previous studies have investigated the quality of the measure, CoreLex has rarely been longitudinally explored. Aims We aimed to investigate the adequacy of CoreLex to document linguistic changes in PWA over time. Specifically, we examined (1) whether natural language recovery from acute to chronic stages is manifested differentially by tasks and (2) the extent to which the ability to retrieve words in isolation predicts the ability to retrieve words in context. Methods A total of 19 PWA participated in the study. They completed a language assessment including confrontation naming tasks (Boston Naming Test [BNT] and Hopkins Action Naming Assessment [HANA]) and a picture description task using the Cookie Theft picture at acute and chronic stages. Discourse samples from the picture description task were quantified using CoreLex. Results We found significant differences across tasks and time-points by PWA. Moderate correlations between the confrontation naming tasks and CoreLex were found at the acute stage but not at the chronic stage. Additionally, McNemar’s tests demonstrated a significant difference in PWA’s performance in CoreLex from the acute to the chronic stages. Conclusions Our findings show that performance by PWA improves over time on all tasks, but language gains are manifested differentially by tasks. Performance in confrontation naming moderately predicts word retrieval in context acutely. However, lack of correlations between confrontation naming tasks and CoreLex later endorse inadequacy of using confrontation naming tasks as a proxy measure for discourse-level performance and improvement for PWA.

Brain electrophysiological responses associated with the retrieval of temporal and spatial contexts in episodic memory

Episodic memory allows us to remember three main elements regarding an event: what (it is), where (it is in space), and when (it appears). The brain’s electrical activity signaling the occurrence of these processes has been studied separately, revealing different patterns of ERP components and changes in the EEG theta band amplitude. However, how these patterns signal the retrieval of the temporal and spatial contexts of the same episode is unknown. The objective of this study was to evaluate the ERP components and the EEG theta band in association to the retrieval of the what, where, and when of the same episode through a source memory task. Three types of trials were identified here: total retrieval (what, where, and when), spatial retrieval (what and where), and correct rejections (correctly identified as new items). Attentional components, N200 and P300, and theta band were sensitive to the amount of information retrieved from episodic memory. Total retrieval and spatial trials elicited higher mean amplitude of FN400 and LPC, familiarity and recollection markers, respectively, than correct rejections. Our results suggest that early attention mechanisms can discern the strength of retrieval; in turn, familiarity and recollection mechanisms participate in the retrieval of the main contexts of episodic memory, but not in a cumulative way.

The importance of the urologist in male oncology fertility preservation.

To demonstrate that surgical sperm retrieval (SSR) and spermatogonial stem cell retrieval (SSCR) in an oncological context are safe and successful. This a retrospective study in a tertiary hospital in the UK. Patients requiring fertility preservation from December 2017 to January 2020 were included. Data were analysed with Microsoft Excel 2016 and the Statistical Package for the Social Sciences (version 20). Among 1264 patients referred to the Reproductive Medical Unit at the University College of London Hospitals for cryopreservation prior to gonadotoxic treatment, 39 chose to go forward with SSR/SSCR because they presented as azoo-/cryptozoospermic or an inability to masturbate/ejaculate. Interventions were testicular sperm extraction (23 patients) or aspiration (one), electroejaculation (one), and testicular wedge biopsy for SSCR (14). The median (range) age was 15.0 (10-65) years and the median testosterone level was 4.4 nmoL/L. Primary diagnoses were sarcoma in 11 patients, leukaemia in nine, lymphoma in eight, testicular tumour in five, other oncological haematological entities in two, other solid cancers in two, while two patients had non-oncological haematological diseases. SSR/SSCR could be offered within 7.5 days on average. Chemotherapy could follow within 2 days from SSR/SSCR, and bone marrow transplant occurred within 19.5 days (all expressed as medians). The success rate for SSR was 68.0% (at least one vial/straw collected). The mean (SD) Johnsen score of testicular biopsies was 5.23 (2.25) with a trend towards positive correlation with SSR success (P = 0.07). However, age, hormonal profile and type of cancer did not predict SSR outcome. We show that SSR and SSCR in an oncological context are valid treatment options with a high success rate for patients in which sperm cryopreservation from semen is impossible. By providing an effective pathway, fertility preservation is possible with minimal delay to oncological treatment.

Orbitofrontal cortex governs working memory for temporal order

How do we think about time? Converging lesion and neuroimaging evidence indicates that orbitofrontal cortex (OFC) supports the encoding and retrieval of temporal context in long-term memory1, which may contribute to confabulation in individuals with OFC damage2. Here, we reveal that OFC damage diminishes working memory for temporal order, that is, the ability to disentangle the relative recency of events as they unfold. OFC lesions reduced working memory for temporal order but not spatial position, and individual deficits were commensurate with lesion size. Comparable effects were absent in patients with lesions restricted to lateral prefrontal cortex (PFC). Based on these findings, we propose that OFC supports understanding of the order of events. Well-documented behavioral changes in individuals with OFC damage2 may relate to impaired temporal-order understanding.

Vocabulary Learning During Reading: Benefits of Contextual Inferences Versus Retrieval Opportunities.

Retrieval practice of isolated words (e.g., with flashcards) enhances foreign vocabulary learning. However, vocabulary is often encountered in context. We investigated whether retrieval opportunities also enhance contextualized word learning. In two within‐subjects experiments, participants encoded 24 foreign words and then read a story to further strengthen word knowledge. The story contained eight target words in a retrieval context, which required participants to recall word meaning from memory to understand the text (e.g., “She borrowed a knyga ”), and eight target words in an inference context from which meaning could be inferred (e.g., “She read a knyga ” [book]). After 1 to 2 days, a posttest measured word retention. Reading the words in either the retrieval or inference context increased retention, compared to control words not included in the story. Moreover, in Experiment 1, retention was significantly higher in the inference than in the retrieval condition. In Experiment 2, in which encoding before reading was more extensive and feedback was available, no differences in retention were found between the inference and retrieval + feedback condition (both increased retention, compared to control words). Overall, the findings suggest that the benefits of retrieval may be less pronounced during incidental, contextualized learning than during intentional exercises and that retrieval success must be considered when adding retrieval opportunities to contextualized learning. Under low retrieval success, the better comprehension afforded by an informative context may outweigh the benefits of retrieval opportunities (Exp.1). Yet even when retrieval success was enhanced and feedback was added (Exp. 2), retrieval opportunities were only as beneficial as exposure to rich contextual information.

The Hippocampus May Support Context Retrieval in One-Shot Learning about Pain.

The ability to recall something we encounter only once and unexpectedly—for example, that a food type is poisonous—is crucial for survival. Yet, neuroscientific research in recent decades has been dominated by incremental learning paradigms, relatively neglecting how the brain can learn

Selective memory retrieval can revive forgotten memories

Humans remember less and less of what was encoded as more and more time passes. Selective retrieval can interrupt such time-dependent forgetting, enhancing recall not only of the retrieved but also of the nonretrieved information. The recall enhancement has been attributed to context retrieval and the idea that selective retrieval reactivates the retrieved item's temporal context during study, which can facilitate recall of other items that had a similar context at study. However, it is unclear whether context retrieval induces a transient discontinuity in the stream of temporal context only, or a more permanent updating of context that would entail a lasting interruption of time-dependent forgetting. In three experiments, we analyzed time-dependent forgetting of encoded information right after study and after time-lagged selective retrieval. Selective retrieval boosted recall of the nonretrieved information up to the levels observed directly after study. Intriguingly, it also created a restart of time-dependent forgetting that made forgetting after retrieval indistinguishable from forgetting after study and thus induced a reset of the recall process. The results suggest that selective retrieval can revive forgotten memories and cause lasting recall enhancement, effects likely mediated by context retrieval and a permanent updating of temporal context.

Round stone pyxides from Karkemish and North Syria: Remarks on their distribution and significance

Abstract – This paper provides a re-assessment of round stone “cosmetic” pyxides from Karkemish and other North Syrian sites during the Iron II and III periods. Some recently published specimens provide, in fact, new insights for better understanding the manufacture, diffusion and chronology of this class. A corpus of provenanced forty-six specimens, which includes both lids and containers, is discussed according to their context of retrieval, chronology and typological/stylistic features. The majority of the stone pyxides was found at sites such as Karkemish, Chatal Höyük, Tell Tayinat, Tell Afis, while four specimens must have reached Assyria likely as tribute or booty. Patterns may be discerned in relation to the distribution of the stone pyxides in official and household contexts starting in the late 10th-early 9th cent. bce and continuing throughout the 8th and 7th cent. bce and beyond.

Spatial-Temporal Graphs for Cross-Modal Text2Video Retrieval

Cross-modal text to video retrieval aims to find relevant videos for given text queries, which is crucial for various real-world applications. The key to address this task is to build the correspondence between video and text such that the related samples from different modalities can be aligned. As the text (sentence) contains both nouns and verbs representing objects as well as their interactions, retrieving the relevant videos requires a fine-grained understanding of video contents---not only the semantic concepts (i.e., objects) but also the interactions between them. Nevertheless, the current approaches mostly represent videos with aggregated frame-level features for the learning of joint space and ignore the information of object interactions, which usually results in suboptimal retrieval performance. To improve the performance of cross-modal video retrieval, this paper proposes a framework that models videos as spatial-temporal graphs where nodes correspond to visual objects and edges correspond to the relations/interactions between objects. With the spatial-temporal graphs, the object interactions in frame sequences can be captured to enrich the video representations for joint space learning. Specifically, Graph Convolutional Network is introduced to learn the representations on spatial-temporal graphs, aiming to encode the spatial-temporal interactions between objects; while BERT is introduced to dynamically encode the sentence according to the context for cross-modal retrieval. Extensive experiments verify the effectiveness of the proposed framework and it achieves promising performances on both MSR-VTT and LSMDC datasets.

Can cue familiarity during recall failure prompt illusory recollective experience?

Recognition memory is thought to involve two bases: familiarity (a sense that something was encountered previously) and recollection (retrieval of specifics or context). The present study investigated the hypothesis that a sensation of familiarity during cued-recall failure might increase illusory recollective experience. This hypothesis was driven, in part, by the suggestion in the literature that the type of familiarity-driven recollective confabulation often seen in populations experiencing memory impairment might actually be a common feature of normal human memory. We examined the hypothesis that as perceived cue familiarity increases during the uncertainty of target retrieval failure, so does illusory recollection of a contextual detail. Toward this end, we systematically varied the amount of cue-to-target(s) surface feature-overlap in the recognition without cued recall paradigm, which has been shown to increase perceived cue familiarity during target recall failure. Increasing perceived cue familiarity during target retrieval failure led to increased confidence in knowing a contextual detail that was not actually known. As perceived cue familiarity increased, so did erroneous confidence in knowing the arrow direction (left or right) that supposedly accompanied the unretrieved target (Experiment 1), the background color (Experiment 2), and whether an accompanying tone was high or low (Experiment 3).