Selective Memory Research Articles

Psychophysiological and Performance Effects of Biofeedback and Neurofeedback Interventions in a Top 100 Female Chess Player

(1) Background: Previous studies showed that neurofeedback and biofeedback could improve stress levels, enhance self-control over physiological factors, improve behavioral efficiency, and increase reaction speed to stimuli. Specifically, the sensorimotor rhythm stimulation (12–15 Hz) can enhance cognitive functions such as selective attention and working memory. However, there is no study that analyzes the effect of these interventions in chess players. (2) Methods: A Chess Woman Grandmaster and Chess International Master, with an ELO ranking higher than 2350 points, was selected to participate in this case study. The participant conducted a total of 14 sessions of biofeedback and neurofeedback, training in breathing, sensorimotor rhythm stimulation in Cz, skin conductance, temperature, and heart rate variability combined with chess work. Specific and non-specific tasks were designed to evaluate the intervention. (3) Results: The chess player enhanced the heart rate variability during specific and non-specific chess tasks: chess problems, 15 + 10 games, and puzzle rush games. In addition, the sensorimotor rhythm power decreased during the chess problem and increased during the 15 + 10 game and puzzle rush. Also, chess performance and anxiety levels improved after the intervention. (4) Conclusions: Neurofeedback and biofeedback training combined with chess training could improve the performance of chess players.

Time-dependent neural arbitration between cue associative and episodic fear memories.

After traumatic events, simple cue-threat associative memories strengthen while episodic memories become incoherent. However, how the brain prioritises cue associations over episodic coding of traumatic events remains unclear. Here, we developed an original episodic threat conditioning paradigm in which participants concurrently form two memory representations: cue associations and episodic cue sequence. We discovered that these two distinct memories compete for physiological fear expression, reorganising overnight from an overgeneralised cue-based to a precise sequence-based expression. With multivariate fMRI, we track inter-area communication of the memory representations to reveal that a rebalancing between hippocampal- and prefrontal control of the fear regulatory circuit governs this memory maturation. Critically, this overnight re-organisation is altered with heightened trait anxiety. Together, we show the brain prioritises generalisable associative memories under recent traumatic stress but resorts to selective episodic memories 24 h later. Time-dependent memory competition mayprovide a unifying account for memory dysfunctions in post-traumatic stress disorders.

Cognitive improvement after endoscopic third ventriculostomy surgery in long-standing overt ventriculomegaly in adults.

Long-standing overt ventriculomegaly in adults (LOVA) is a chronic form of hydrocephalus that can lead to cognitive deficits. Data on the cognitive profile of patients with LOVA and cognitive outcomes of endoscopic third ventriculostomy (ETV) are, however, scarce and mostly qualitative. Twenty-three consecutive patients with LOVA hydrocephalus underwent ETV surgery, and their cognitive status was assessed before surgery, immediately after surgery, and at the 5-month follow-up. Cognitive function was assessed using a neuropsychological battery measuring 6 cognitive domains: general cognitive status, attention/executive function, language, visuospatial skills, short-term memory, and long-term memory. Cognitive reserve was also estimated through a measure of premorbid IQ to assess its potential influence together with other clinical and demographic variables. Patients with LOVA did not experience general cognitive decline but rather selective long-term memory (p < 0.001) and visuospatial skills (p = 0.001) deficits alone. Moreover, ETV surgery led to significant immediate postoperative improvement in both domains (p = 0.002 and p < 0.001 respectively), that persisted at follow-up (p < 0.001 for both). However, improvement was observed only in patients with higher premorbid IQ (p < 0.001), while the others did not improve (p > 0.532). These findings confirm the effectiveness of ETV surgery and highlight the role of cognitive reserve in promoting plasticity of brain and cognitive functions thus fostering and predicting cognitive recovery.

Selective memory may be at play during written reflection: analysis of the noticing of mathematics teacher-researchers

ABSTRACT This article investigates the significant disparities that often occur between mathematics teachers’ written reflections of their class from memory and their reflections after later observing a video of the same class. Data was collected from journal and video documentation made during in an M.Ed. course about post-lesson analysis. The disparities were examined based on the theoretical literature with the participation of the teachers, who shared their interpretations as to the reasons for them. The three educational and cognitive theories that formed the basis for the discussion were Tulving’s theory regarding episodic (personal experience) and semantic (general knowledge) memory; Mason’s theory about noticing and awareness; and Wimber et al.‘s theory about memory mechanisms that can lead to forgetting specific memories or by which remembering specific events can lead to forgetting others. As a result of the analysis, three disparity types were defined: “memory extinction”, “misguided interpretation”, and “false memory”, indicating that selective memory and forgetfulness may be at play when teachers write their reflections. The results of the study led to suggesting a five-stage reflective analysis method to enhance teachers’ noticing focus and abilities. They also emphasize the importance of group discussions on theories related to ‘reflection’, ‘noticing’, and ‘memory’ to improve teachers’ interpretation of teaching events.

Disrupting variant selection memory effect in laser powder bed fusion to improve strength-ductility synergy of Ti-6Al-4V alloys

Texture formation is frequently observed in parts produced by Laser Powder Bed Fusion (L-PBF), which can induce anisotropy and may potentially degrade plasticity. In this study, we introduce a laser remelting strategy to mitigate these adverse effects. By employing experimental observations and numerical simulations, we established the relationship between melt pool thermal history, variant selection, and mechanical properties. Our results indicate that the strengthening of texture can be prevented by disrupting the variant selection memory effect when there is a difference in scanning speeds between the printing and remelting lasers. The achieved random variant orientation is attributed to the altered cooling rates and temperature gradient directions during solidification across different layers. The optimized Ti-6Al-4V alloy demonstrates high strength (1211.5 ± 13 MPa) and significant elongation (12.3% ± 0.8%), exhibiting a superior strength-ductility synergy compared to samples produced by direct printing or laser remelting with consistent parameters, as well as most reported L-PBF processed Ti-6Al-4V alloys. Our findings provide new insights into phase transformation kinetics in L-PBF of Ti-6Al-4V alloys and facilitate the optimization of this process for manufacturing high-performance components.

Autoimmune hypothesis of Alzheimer's disease: unanswered question.

Alzheimer's disease (AD) was described more than a century ago. However, there are still no effective approaches to its treatment, which may suggest that the search for the cure is not being conducted in the most productive direction. AD begins as selective impairments of declarative memory with no deficits in other cognitive functions. Therefore, understanding of the AD pathogenesis has to include the understanding of this selectivity. Currently, the main efforts aimed at prevention and treatment of AD are based on the dominating hypothesis for the AD pathogenesis: the amyloid hypothesis. But this hypothesis does not explain selective memory impairments since β-amyloid accumulates extracellularly and should be toxic to all types of cerebral neurons, not only to "memory engram neurons." To explain selective memory impairment, I propose the autoimmune hypothesis of AD, based on the analysis of risk factors for AD and molecular mechanisms of memory formation. Memory formation is associated with epigenetic modifications of chromatin in memory engram neurons and, therefore, might be accompanied by the expression of memory-specific proteins recognized by the adaptive immune system as "non-self" antigens. Normally, the brain is protected by the blood-brain barrier (BBB). All risk factors for AD provoke BBB disruptions, possibly leading to an autoimmune reaction against memory engram neurons. This reaction would make them selectively sensitive to tauopathy. If this hypothesis is confirmed, the strategies for AD prevention and treatment would be radically changed.

Bilinguals outperform trilinguals in implicit language aptitude: the mediating role of selective attention

ABSTRACT A mounting number of individuals engage in the simultaneous learning of multiple foreign languages. Prior research has underscored the advantages of bilingualism on foreign language aptitude (FLA). However, the impact of multilingual experience on the constituents of FLA, namely explicit language aptitude (ELA) and implicit language aptitude (ILA), along with the cognitive mechanisms underlying these effects, remain less explored. This study seeks to fill this gap by examining the potential multilingual influence on FLA constituents and the possible mediating role of cognitive abilities such as selective attention and working memory. Our research involved 82 Chinese college students, aged between 17 and 24, equally distributed into two cohorts: Chinese-English bilinguals and Chinese-English-Japanese trilinguals (41 per group). The results showed that bilinguals outperformed trilingual learners in terms of ILA performance, with selective attention fully mediating the relationship between multilingualism and ILA. This work is pioneering in identifying the crucial role of selective attention in linking multilingualism and ILA, thereby advancing our understanding of the cognitive underpinnings of the relative bilingual efficiency in language aptitude. The insights are invaluable for educational practice, suggesting that language learning programmes should be designed to optimise cognitive resources in multilingual learners.

Composite learning control for strict feedback systems with neural network based on selective memory

Composite learning control for strict feedback systems with neural network based on selective memory

The Discursos de la Vida in Inquisitorial Documentation Autobiography between Orality and Memory

In 1561 the General Inquisitor Fernando Valdés established a set of new instructions that systematically required defendants to depose their so-called discurso de la vida during their initial interrogation. Under the expression discurso de la vida, which was not exclusive to an Inquisitorial context, they were compelled to give an account of their own lives. This involved narrating a life story orally, which was then transcribed by scribes. While the defendants were rooted in a predominantly ‘oral culture’, clearly observable in their depositions, the scribes worked within a ‘written culture’ typical of their position in a social, legal and cultural system imposed from the top down. Thus, one confronts a singular source that has ‘fossilized’ thousands of interactions between both cultural models. The discurso de la vida was the most open-ended part of the interrogation, offering the accused the possibility of deploying a series of strategies based on their juridical and doctrinal knowledge, rhetorical skills of persuasion and ‘selective memory’. These demonstrate quite an unexpected degree of agency in such a coercive situation. According to symbolic interactionism, the best way to deal with this ‘collaborative life writing’ is to try to identify the role played by each participant in its composition. How did this interaction take place? To what extent is it possible to recover the ‘voices’ of narrators? How did the scribes or the inquisitors – both coercers and editors of these texts – bias these stories? What strategies did the protagonists deploy in their ‘performances’? These are some of the questions addressed in the article.

초등 읽기부진 아동의 음운인식과 인지기능 요인 간의 관계 분석

The purpose of this study is to provide basic data for acquiring phonological awareness of children with poor reading by grasping the relationship between phonological perception and cognitive function factors of children with poor reading skills in elementary school. The subjects of this study were analyzed with 95 students enrolled in the 1st to 6th grades of elementary school commissioned by four regional education support offices in Jeollanam-do for poor reading. The analysis results are as follows. First, as a result of conducting an independent sample t-test to verify the difference between the measurement variables through intelligence tests, attention tests, and phonological awareness tests of children with poor reading in elementary school, there was a significant difference between grades(low grades, upper grades) in attention and phonological awareness. Second, as a result of conducting correlation analysis to find out the relationship between phonological awareness and measurement factors of children with poor reading in elementary school, attention, language understanding, and working memory had a significant positive correlation. Third, as a result of conducting hierarchical multiple regression analysis to find out the relative influence of the measurement variables on the phonological awareness of children with poor reading in elementary school, it was found that selective attention and working memory abilities had the greatest influence on phonological awareness.

Role of visual brainwave entrainment on the resting state brainwaves of children with and without attention-deficit/hyperactivity disorder

The relationship between brainwave oscillations and Attention-Deficit/Hyperactivity Disorder (ADHD)-related cognitive challenges is a trending proposition in the field of Cognitive Neuroscience. Studies suggest the role of brainwave oscillations in the symptom expressions of ADHD-diagnosed children. Intervention studies have further suggested the scope of brain stimulation techniques in improving cognition. The current manuscript explored the effect of changes in the brainwaves post-sensory entrainment on cognitive performance of children. We calculated each participant’s brainwave difference and ratios of theta, alpha, and beta power after the entrainment sessions. Further, we explored possible correlations between these values and the psychometric scores. The beta resting state showed the strongest association with selective attention performance of all participants. Theta-beta ratio (TBR) showed an inverse correlation with selective attention and working memory performances. The theta frequency was associated with decreased working performance in children without ADHD. Our findings also suggest a predominant role of TBR than the theta-alpha ratio in determining the cognitive performance of children with ADHD. The individual differences in the entrainment reception were attributed to the participant’s age, IQ, and their innate baseline frequencies. The implications of our findings can initiate substantiating brainwave-based entrainment sessions as a therapeutic modality to improve cognition among children.

Imagining the Future: Memory, Simulation, and Beliefs

Abstract How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about COVID we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event, different experiences compete for retrieval, and retrieved experiences are used to simulate the event based on how similar they are to it. The model predicts that different experiences interfere with each other in recall and that non-domain-specific experiences can bias beliefs based on their similarity to the assessed event. We test these predictions using data from our COVID survey and from a primed-recall experiment about cyberattack risk. In line with our theory of similarity-based retrieval and simulation, experiences and their measured similarity to the cued event help account for experience effects, priming effects, and the interaction of the two in shaping beliefs.

Modulation of neuronal activity in human centromedian nucleus during an auditory attention and working memory task

Centromedian nucleus (CM) is one of several intralaminar nuclei of the thalamus and is thought to be involved in consciousness, arousal, and attention. CM has been suggested to play a key role in the control of attention, by regulating the flow of information to different brain regions such as the ascending reticular system, basal ganglia, and cortex. While the neurophysiology of attention in visual and auditory systems has been studied in animal models, combined single unit and LFP recordings in human have not, to our knowledge, been reported. Here, we recorded neuronal activity in the CM nucleus in 11 patients prior to insertion of deep brain stimulation electrodes for the treatment of epilepsy while subjects performed an auditory attention task. Patients were requested to attend and count the infrequent (p = 0.2) odd or "deviant" tones, ignore the frequent standard tones and report the total number of deviant tones at trial completion. Spikes were discriminated, and LFPs were band pass filtered (5–45 Hz). Average peri‑stimulus time histograms and spectra were constructed by aligning on tone onsets and statistically compared. The firing rate of CM neurons showed selective, multi-phasic responses to deviant tones in 81% of the tested neurons. Local field potential analysis showed selective beta and low gamma (13–45 Hz) modulations in response to deviant tones, also in a multi-phasic pattern. The current study demonstrates that CM neurons are under top-down control and participate in the selective processing during auditory attention and working memory. These results, taken together, implicate the CM in selective auditory attention and working memory and support a role of beta and low gamma oscillatory activity in cognitive processes. It also has potential implications for DBS therapy for epilepsy and non-motor symptoms of PD, such as apathy and other disorders of attention.

Stories, Statistics, and Memory

Abstract For many decisions, we encounter relevant information over the course of days, months, or years. We consume such information in various forms, including stories (qualitative content about individual instances) and statistics (quantitative data about collections of observations). This article proposes that information type—story versus statistic—shapes selective memory. In controlled experiments, we document a pronounced story-statistic gap in memory: the average impact of statistics on beliefs fades by 73% over the course of a day, but the impact of a story fades by only 32%. Guided by a model of selective memory, we disentangle different mechanisms and document that similarity relationships drive this gap. Recall of a story increases when its qualitative content is more similar to a memory prompt. Irrelevant information in memory that is similar to the prompt, on the other hand, competes for retrieval with relevant information, impeding successful recall.

Memory and automatic processing of valuable information in younger and older adults

ABSTRACT People often engage in the selective remembering of valuable or important information, whether strategic and/or automatic. We examined potential age-related differences in the automatic processing of value during encoding on later remembering by presenting participants with words paired with point values (range: 1–10 twice or 1–20) to remember for a later test. On the first three lists, participants were told that they would receive the points associated with each word if they recalled it on the test (their goal was to maximize their score). On the last three lists, we told participants that all words were worth the same number of points if recalled on the tests, thus making the point value paired with each word meaningless. Results revealed that selective memory may be impaired in older adults using procedures with larger value ranges. Additionally, we demonstrated that the automatic effects of value may have a greater effect on younger adults relative to older adults, but there may be instances where older adults also exhibit these automatic effects. Finally, strategic and automatic processes may not be related within each learner, suggesting that these processes may rely on different cognitive mechanisms. This indicates that these processes could be underpinned by distinct cognitive mechanisms: strategic processes might engage higher-level cognitive operations like imagery, while automatic processes appear to be more perceptually driven.

Predicting and compensating for small-sample thermal information data in precision machine tools: A spatial-temporal interactive integration network and digital twin system approach

The thermal errors in ball screws present complex spatial-temporal characteristics and exhibit persistent long-term memory, significantly affecting the machining accuracy of the whole machine tool in applications. Deep learning has emerged as a promising approach to predict these errors using thermal data. However, the scarcity of extensive thermal datasets, typically due to the prohibitive costs and time required for experimental acquisition, hampers the comprehensive exploitation of spatial-temporal and long-term memory attributes. Moreover, the current thermal error compensation system does not support the deployment of deep learning-based thermal error models due to its weak real-time performance. These limitations lead to suboptimal prediction accuracy and inadequate error compensation. Addressing this challenge, a novel spatial-temporal interactive integration network is proposed, and this is a sophisticated model that synergistically blends a time memory gate and a spatial-temporal fusion gate within an advanced attention-based spatial-temporal graph convolutional framework. Our network ingeniously leverages spatial data to anchor long-term memory while employing temporal data for selective memory feature extraction, facilitating a refined integration of spatial-temporal features. Concurrently, the integration of gated recurrent units and a time attention layer meticulously extracts and enhances temporal features, bolstered by our innovative time memory gate, which is adept at handling small-sample scenarios and refining thermal error predictions. Critically, the digital twin system for thermal error compensation is constructed to improve the system’s real-time performance. The integration of this network into the digital twin system marks a pivotal advancement in thermal error compensation. Our empirical results underscore the system's remarkable robustness and superior predictive accuracy, demonstrating a significant reduction in positioning and machining errors (over 90% and 80% respectively) even with constrained thermal data inputs. These advancements not only delineate a substantial leap in predictive accuracy but also underscore our contribution to reducing operational costs and enhancing the efficacy of machine tools.

Hemispheric asymmetries in hippocampal volume related to memory in left and right temporal variants of frontotemporal degeneration.

In addition to Alzheimer's disease (AD), the hippocampus is now known to be affected in variants of frontotemporal degeneration (FTD). In semantic variant primary progressive aphasia (svPPA), characterized by language impairments, hippocampal atrophy is greater in the left hemisphere. Nonverbal impairments (e.g., visual object recognition) are prominent in the right temporal variant of FTD (rtvFTD), and hippocampal atrophy may be greater in the right hemisphere. In this study we examined the hypothesis that leftward hippocampal asymmetry (predicted in svPPA) would be associated with selective verbal memory impairments (with relative preservation of visual memory), while rightward asymmetry (predicted in rtvFTD) would be associated with the opposite pattern (greater visual memory impairment). In contrast, we predicted that controls and individuals in the amnestic mild cognitive impairment stage of AD (aMCI), both of whom were expected to show symmetrical hippocampal volumes, would show roughly equivalent scores in verbal and visual memory. Participants completed delayed recall tests with words and geometric shapes, and hippocampal volumes were assessed with MRI. The aMCI sample showed symmetrical hippocampal atrophy, and similar degree of verbal and visual memory impairment. The svPPA sample showed greater left hippocampal atrophy and verbal memory impairment, while rtvFTD showed greater right hippocampal atrophy and visual memory impairment. Greater asymmetry in hippocampal volumes was associated with larger differences between verbal and visual memory in the FTD samples. Unlike AD, asymmetry is a core feature of brain-memory relationships in temporal variants of FTD.

The perceived importance of words in large font guides learning and selective memory

People are often presented with large amounts of information to remember, and in many cases, the font size of information may be indicative of its importance (such as headlines or warnings). In the present study, we examined how learners perceive the importance of information in different font sizes and how beliefs about font size influence selective memory. In Experiment 1, participants were presented with to-be-remembered words that were either unrelated or related to a goal (e.g., items for a camping trip) in either small or large font. Participants rated words in large font as more important to remember than words in small font when the words in a list were unrelated but not when the words were schematically related to a goal. In Experiments 2 and 3, we were interested in how learners’ belief that font size is indicative of importance translates to their ability to selectively encode and recall valuable information. Specifically, we presented participants with words in various font sizes, and larger fonts either corresponded to greater point values or smaller point values (values counted towards participants’ scores if recalled). When larger fonts corresponded with greater point values, participants were better able to selectively remember high-value words relative to low-value words. Thus, when to-be-remembered information varies in value, font size may be less diagnostic of an item’s importance (the item’s importance drives memory), and when the value of information is consistent with a learner’s belief, learners can better engage in selective memory.

Forecasting the Future Value of a Colombian Investment Fund with LSTM Recurrent Neural Networks (LSTM)

Forecasting the Future Value of a Colombian Investment Fund with LSTM Recurrent Neural Networks (LSTM)

Auditory Category Learning in Children With Dyslexia.

Developmental dyslexia is proposed to involve selective procedural memory deficits with intact declarative memory. Recent research in the domain of category learning has demonstrated that adults with dyslexia have selective deficits in Information-Integration (II) category learning that is proposed to rely on procedural learning mechanisms and unaffected Rule-Based (RB) category learning that is proposed to rely on declarative, hypothesis testing mechanisms. Importantly, learning mechanisms also change across development, with distinct developmental trajectories in both procedural and declarative learning mechanisms. It is unclear how dyslexia in childhood should influence auditory category learning, a critical skill for speech perception and reading development. We examined auditory category learning performance and strategies in 7- to 12-year-old children with dyslexia (n = 25; nine females, 16 males) and typically developing controls (n = 25; 13 females, 12 males). Participants learned nonspeech auditory categories of spectrotemporal ripples that could be optimally learned with either RB selective attention to the temporal modulation dimension or procedural integration of information across spectral and temporal dimensions. We statistically compared performance using mixed-model analyses of variance and identified strategies using decision-bound computational models. We found that children with dyslexia have an apparent selective RB category learning deficit, rather than a selective II learning deficit observed in prior work in adults with dyslexia. These results suggest that the important skill of auditory category learning is impacted in children with dyslexia and throughout development, individuals with dyslexia may develop compensatory strategies that preserve declarative learning while developing difficulties in procedural learning. https://doi.org/10.23641/asha.25148519.