Types Of Memory Research Articles

The effects of slow wave sleep characteristics on semantic, episodic, and procedural memory in people with epilepsy.

Slow wave sleep (SWS) is highly relevant for verbal and non-verbal/spatial memory in healthy individuals, but also in people with epilepsy. However, contradictory findings exist regarding the effect of seizures on overnight memory retention, particularly relating to procedural and non-verbal memory, and thorough examination of episodic memory retention with ecologically valid tests is missing. This research explores the interaction of SWS duration with epilepsy-relevant factors, as well as the relation of spectral characteristics of SWS on overnight retention of procedural, verbal, and episodic memory. In an epilepsy monitoring unit, epilepsy patients (N = 40) underwent learning, immediate and 12h delayed testing of memory retention for a fingertapping task (procedural memory), a word-pair task (verbal memory), and an innovative virtual reality task (episodic memory). We used multiple linear regression to examine the impact of SWS duration, spectral characteristics of SWS, seizure occurrence, medication, depression, seizure type, gender, and epilepsy duration on overnight memory retention. Results indicated that none of the candidate variables significantly predicted overnight changes for procedural memory performance. For verbal memory, the occurrence of tonic-clonic seizures negatively impacted memory retention and higher psychoactive medication load showed a tendency for lower verbal memory retention. Episodic memory was significantly impacted by epilepsy duration, displaying a potential nonlinear impact with a longer duration than 10years negatively affecting memory performance. Higher drug load of anti-seizure medication was by tendency related to better overnight retention of episodic memory. Contrary to expectations longer SWS duration showed a trend towards decreased episodic memory performance. Analyses on associations between memory types and EEG band power during SWS revealed lower alpha-band power in the frontal right region as significant predictor for better episodic memory retention. In conclusion, this research reveals that memory modalities are not equally affected by important epilepsy factors such as duration of epilepsy and medication, as well as SWS spectral characteristics.

An Examination of Audio-visual Effects on Memory Capacity of Production Workers Based on Educational Targets

Humans have two different types of memory: short-term memory and long-term memory. Information is momentarily stored in short-term memory before being transferred to long-term memory. A string of characters, numbers, colours, or names that can be spoken or presented in less than two seconds can be stored in short-term memory. Many work environments overwhelm workers; for instance, a tailor may be able to maximise productivity if he works while listening to music. One of the things that can affect the workplace is audio-visual. Humans differ in how old their short-term memory is. Those who are still productive tend to have stronger memories than those who are older. The purpose of this study is to ascertain, in light of educational attainment, how audio-visuals affect short-term memory in adults of working age. Because it can still use short-term memory to effectively receive, process, and communicate information in a work environment, productive age is used. The results of an analysis conducted using Work Design software and Design Tools for Methods Standard indicated that the mistake rate at the productive age level at the undergraduate education level had a greater impact than it did at the high school level. This may be the result of short-term memory loss brought on by ageing.

Octopamine integrates the status of internal energy supply into the formation of food-related memories

The brain regulates food intake in response to internal energy demands and food availability. However, can internal energy storage influence the type of memory that is formed? We show that the duration of starvation determines whether Drosophila melanogaster forms appetitive short-term or longer-lasting intermediate memories. The internal glycogen storage in the muscles and adipose tissue influences how intensely sucrose-associated information is stored. Insulin-like signaling in octopaminergic reward neurons integrates internal energy storage into memory formation. Octopamine, in turn, suppresses the formation of long-term memory. Octopamine is not required for short-term memory because octopamine-deficient mutants can form appetitive short-term memory for sucrose and to other nutrients depending on the internal energy status. The reduced positive reinforcing effect of sucrose at high internal glycogen levels, combined with the increased stability of food-related memories due to prolonged periods of starvation, could lead to increased food intake.

Octopamine integrates the status of internal energy supply into the formation of food-related memories.

The brain regulates food intake in response to internal energy demands and food availability. However, can internal energy storage influence the type of memory that is formed? We show that the duration of starvation determines whether Drosophila melanogaster forms appetitive short-term or longer-lasting intermediate memories. The internal glycogen storage in the muscles and adipose tissue influences how intensely sucrose-associated information is stored. Insulin-like signaling in octopaminergic reward neurons integrates internal energy storage into memory formation. Octopamine, in turn, suppresses the formation of long-term memory. Octopamine is not required for short-term memory because octopamine-deficient mutants can form appetitive short-term memory for sucrose and to other nutrients depending on the internal energy status. The reduced positive reinforcing effect of sucrose at high internal glycogen levels, combined with the increased stability of food-related memories due to prolonged periods of starvation, could lead to increased food intake.

Toward a memory perspective on eating psychopathology: An investigation of the types of childhood and adolescence memories that are associated with eating disorder symptoms

The cognitive mechanisms through which specific life events affect the development and maintenance of eating disorders (ED) have received limited attention in the scientific literature. The present research aims to address this gap by adopting a memory perspective to explore the type of life events associated with eating psychopathology and how these events are encoded and reconstructed as memories. Two studies (n = 208 and n = 193) were conducted to investigate the relationship between specific memories and eating disorder psychopathology. Study 1 focused on parent-related memories, while Study 2 examined childhood/adolescence memories. Results from both studies revealed that need thwarting and shame in memories were associated with eating disorder symptoms, but only when individuals drew symbolic connections between these memories and food or eating behavior. Moreover, need thwarting and shame in such memories were associated with other eating and body image outcomes, including uncontrolled eating and body esteem. These results also held after controlling for a host of known predictors of eating disorder psychopathology, such as BMI, perfectionism, or thin ideal internalization. Overall, the present findings suggest that the reprocessing of memories symbolically and idiosyncratically linked to food and eating behavior might be a fruitful clinical intervention.

Memory type Bayesian adaptive max-EWMA control chart for weibull processes

The simultaneous monitoring of both the process mean and dispersion has gained considerable attention in statistical process control, especially when the process follows the normal distribution. This paper introduces a novel Bayesian adaptive maximum exponentially weighted moving average (Max-EWMA) control chart, designed to jointly monitor the mean and dispersion of a non-normal process. This is achieved through the utilization of the inverse response function, particularly suitable for processes conforming to a Weibull distribution. To assess the effectiveness of the proposed control chart, we employed the average run length (ARL) and the standard deviation of run length (SDRL). Subsequently, we compared the performance of our proposed control chart with that of an existing Max-EWMA control chart. Our findings suggest that the proposed control chart demonstrates a higher level of sensitivity in detecting out-of-control signals. Finally, to illustrate the effectiveness of our Bayesian Max-EWMA control chart under various Loss Functions (LFs) for a Weibull process, we present a practical case study focusing on the hard-bake process in the semiconductor manufacturing industry. This case study highlights the adaptability of the chart to different scenarios. Our results provide compelling evidence of the exceptional performance of the suggested control chart in rapidly detecting out-of-control signals during the hard-bake process, thereby significantly contributing to the improvement of process monitoring and quality control.

Remembering trauma in epistemology

This paper explores some surprising effects of psychological trauma on memory and develops the puzzle of observer memory for trauma. Memory for trauma tends to have a third-person perspective, or observer perspective. But it appears observer memory, by having a novel visual point of view, tends to misrepresent the past. And many find it plausible that if a memory type tends to misrepresent, it cannot yield knowledge of, or justification for believing, details of past events. But it is also plausible that, with respect to details of past trauma, observer memory can yield knowledge or justification. I argue for a novel set of views that offers a way out of the puzzle: observer memory does tend to misrepresent, but it still has epistemic power regarding details of the past, although with special limits; but observer memory for trauma has other epistemic powers too, in that it allows for a kind of self-awareness.

Classification of different types of DDR RAM using transfer learning in convolutional learning networks

Technology, specifically computers play an important role in modern society. People who are new to computers can determine what type of RAM they have, which can be used to avoid confusion on what type of RAM their computer needs with the help of an Android device. For this study, a powerful computer with a Graphics Processing Unit (GPU) needed to be used to shorten the amount of time that the deep learning process takes. The study gathered images of 4 types of Random Access Memory for a RAM classification system. There were 1000 images in total for DDR1, DDR2, DDR3, and DDR4 RAM. The study utilized transfer learning to RAM type classification with pre-trained models such as VGG16, VGG19, Inception V3, and Xception. The data that was gathered showed that Xception is the best classifier with an initial average accuracy of 85.034% and a 100% Val_Accuracy even though the model had the longest loading time with 12 seconds.

Volatile Data Acquisition and Analysis by Using Memory Forensics Techniques

Memory forensics is a vital component of digital investigations, involving the analysis of volatile memory (RAM) in computer systems to gather evidence, identify malicious activities, and reconstruct cybercrime incidents. This paper provides an overview of memory forensics, highlighting its defini-tion, importance, purpose, and scope. It explores the evolution and significance of memory forensics in response to increasingly complex cyber threats. The memory forensics process is discussed, cover-ing memory acquisition and analysis. Legal and ethical considerations related to the admissibility of memory evidence and privacy protection are examined. The paper also discusses the types of memory, including physical and virtual memory, and their characteristics and significance in memory forensics. Furthermore, it explores the memory acquisition process, different methods, tools, and techniques used, as well as the importance of preserving evidence integrity. Finally, the paper introduces various tools for memory analysis, such as Volatility, Volatility Workbench, FTK Imager, Encase, Hibernation Recon, and Xplico, and highlights their role in extracting valuable evidence from memory dumps.

Assessing the relationship of prospective, retrospective, and everyday memory with cognitive failure among Bangladeshi adults

Memory has a profound impact on every aspect of who we are. The present study explored the extent to which deficits in everyday memory (EM), prospective memory (PM), and retrospective memory (RM) serve as predictive indicators of cognitive failure (CF) in the context of the Bangladeshi population, as well as to identify differences for the variables across various age cohorts and genders. A total of 352 participants took part in the cross-sectional survey of PM, RM, EM, CF, and the demographic questionnaire package. The main goal of this study was accomplished by the findings, which showed a positive link between CF and EM, PM, and RM. Additionally, the results show that while deficiencies in RM have a somewhat smaller correlation with CF, lapses in EM and PM primarily serve as predictive indications of CF. The results of the current study reveal a recurrent pattern of memory recall and cognitive failure, where men are doing generally better than those of women. A noteworthy finding was the superior performance of middle-aged adults in comparison to their younger counterparts. Hence the majority of memory research is conducted on Western or European people, therefore the current study and its findings can serve as a strong starting point for determining the reasons, nature, and direction of the correlations between memory types and cognitive failures. Dhaka Univ. J. Biol. Sci. 33(1): 133-142, 2024 (January)

Heterogenous effect of early adulthood stress on cognitive aging and synaptic function in the dentate gyrus.

Cognitive aging widely varies among individuals due to different stress experiences throughout the lifespan and vulnerability of neurocognitive mechanisms. To understand the heterogeneity of cognitive aging, we investigated the effect of early adulthood stress (EAS) on three different hippocampus-dependent memory tasks: the novel object recognition test (assessing recognition memory: RM), the paired association test (assessing episodic-like memory: EM), and trace fear conditioning (assessing trace memory: TM). Two-month-old rats were exposed to chronic mild stress for 6 weeks and underwent behavioral testing either 2 weeks or 20 months later. The results show that stress and aging impaired different types of memory tasks to varying degrees. RM is affected by combined effect of stress and aging. EM became less precise in EAS animals. TM, especially the contextual memory, showed impairment in aging although EAS attenuated the aging effect, perhaps due to its engagement in emotional memory systems. To further explore the neural underpinnings of these multi-faceted effects, we measured long-term potentiation (LTP), neural density, and synaptic density in the dentate gyrus (DG). Both stress and aging reduced LTP. Additionally, the synaptic density per neuron showed a further reduction in the stress aged group. In summary, EAS modulates different forms of memory functions perhaps due to their substantial or partial dependence on the functional integrity of the hippocampus. The current results suggest that lasting alterations in hippocampal circuits following EAS could potentially generate remote effects on individual variability in cognitive aging, as demonstrated by performance in multiple types of memory.

Emotion language use in narratives of the 9/11 attacks predicts long-term memory.

Despite considerable cognitive neuroscience research demonstrating that emotions can influence the encoding and consolidation of memory, research has failed to demonstrate a relationship between self-reported ratings of emotions collected soon after a traumatic event and memory for the event over time. This secondary analysis of data from a multisite longitudinal study of memories of the September 11, 2001 terrorist attacks, asked the question of whether emotional language use could predict memory over time. In the 2 weeks following the 9/11 attacks, participants (N = 691; Mage = 36.8; 72% identifying as male; 76% identifying as white) wrote narratives about how they learned of the attacks and the impact of the attacks on them. Language features of these narratives were extracted using the Linguistic Inquiry Word Count program and used to predict three types of memory: (a) event memory accuracy, (b) flashbulb memory consistency, and (c) emotion memory consistency. These outcomes were assessed at the time of writing, 1, 3, and 10 years after the 9/11 attacks. Results of linear mixed-effects models indicate that greater use of negative emotion words in narratives predicts better event memory accuracy 3 and 10 years after the attacks and worse flashbulb memory consistency 10 years after the attacks. However, emotion word use does not predict emotion memory consistency across time. We also examine whether other exploratory linguistic predictors are associated with memory over time. These findings suggest that written language may serve as a potential early indicator of memory over time. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Neural correlates of musical familiarity: a functional magnetic resonance study.

Existing neuroimaging studies on neural correlates of musical familiarity often employ a familiar vs. unfamiliar contrast analysis. This singular analytical approach reveals associations between explicit musical memory and musical familiarity. However, is the neural activity associated with musical familiarity solely related to explicit musical memory, or could it also be related to implicit musical memory? To address this, we presented 130 song excerpts of varying familiarity to 21 participants. While acquiring their brain activity using functional magnetic resonance imaging (fMRI), we asked the participants to rate the familiarity of each song on a five-point scale. To comprehensively analyze the neural correlates of musical familiarity, we examined it from four perspectives: the intensity of local neural activity, patterns of local neural activity, global neural activity patterns, and functional connectivity. The results from these four approaches were consistent and revealed that musical familiarity is related to the activity of both explicit and implicit musical memory networks. Our findings suggest that: (1) musical familiarity is also associated with implicit musical memory, and (2) there is a cooperative and competitive interaction between the two types of musical memory in the perception of music.

The impact of spatial and verbal working memory load on semantic relatedness judgements.

Studies using a relatedness judgement task have found differences between prime-target word pairs that vary in the degree of semantic relatedness. However, the influence of working memory load on semantic processing in this task and the role of the type of working memory task have not yet been investigated. The present study therefore investigated for the first time the effect of working memory load (low vs. high) and working memory type (verbal vs. spatial) on semantic relatedness judgements. Semantically strongly related (e.g., hip - KNEE), weakly related (e.g., muscle - KNEE) and unrelated (e.g., office - KNEE) Polish word pairs were presented in an experiment involving a dual working memory and semantic relatedness task. The data revealed that, relative to semantically unrelated word pairs, responses were faster for strongly related pairs but slower for weakly related pairs. Importantly, the verbal working memory task decreased facilitation for strongly related pairs and increased inhibition for weakly related pairs relative to the spatial working memory task. Furthermore, working memory load impacted only weakly related pairs in the verbal but not in the spatial working memory task. These results show that working memory type and load influence semantic relatedness judgements, but the direction and size of the impact depend on the strength of semantic relations.

ARCHITEKTONICZNE, STRUKTURALNE I FUNKCJONALNE CECHY RÓWNOLEGŁO-HIERARCHICZNEJ ORGANIZACJI PAMIĘCI

Parallel hierarchical memory (PI memory) is a new type of memory that is designed to improve the performance of parallel computing systems. PI memory is composed of two blocks: a mask RAM and a tail element RAM. The mask RAM stores the masks that are used to encode the information, while the tail element RAM stores the actual information. The address block of the PI memory is responsible for generating the physical addresses of the cells where the tail elements and their masks are stored. The address block also stores the field of addresses where the array was written and associates this field of addresses with the corresponding external address used to write the array. The proposed address block structure is able to efficiently generate the physical addresses of the cells where the tail elements and their masks are stored. The address block is also able to store the field of addresses where the array was written and associate this field of addresses with the corresponding external address used to write the array. The proposed address block structure has been implemented in a prototype PI memory. The prototype PI memory has been shown to be able to achieve significant performance improvements over traditional memory architectures. The paper will present a detailed description of the PI transformation algorithm, a description of the different modes of addressing organization that can be used in PI memory, an analysis of the efficiency of parallel-hierarchical memory structures, and a discussion of the challenges and future research directions in the field of PI memory.

Digital Educational Content in Teaching Russian as a Foreign Language (Psychological and Pedagogical Aspects)

The digital educational environment in teaching Russian as a foreign language allows you to activate the maximum number of representation systems, making the learning process more dynamic and increasing motivation to learn the Russian language. Stereoscopic and polysensory perception, which arises as a result of a combination of a visual image and a listening text, has a positive effect on both the consolidation of knowledge and the emotional intelligence of students. The article analyzes the psychological characteristics of the trained contingent. For example, the differentiation of perception based on the elements of a representative system of information presentation: visual (visual perception), kinesthetic (tactile sensations), auditory (auditory perception), polymodal (thinking processes). On this basis, we can see how the presentation of educational material changes and how types of memory are formed: motor, figurative and logical. Considering the interaction of the teaching and learning side in a virtual socio-cultural environment, we should focus on establishing a creative type of interaction, when the positions of both subjects of the educational process make the most of the didactic potential of the virtual environment. Only in this case the process of teaching the Russian language will be successful.

Emotional and temporal order effects – a comparison between word-cued and important autobiographical memories recall orders

ABSTRACT The retrieval mechanisms associated with the recall of autobiographical memories (AMs) may differ according to the cueing method used to elicit AMs. In the present study, we provide a systematic comparison between word-cued and important AMs in terms of two recall order effects, namely a temporal and an emotional order effect. The sample comprised 104 adults aged between 59 and 90 years. On two measurement occasions, participants recalled up to 20 word-cued and 15 important AMs. For each memory, participants provided their age at the time when the event occurred (age-at-event) and rated its emotionality. Order effects were analysed based on multivariate multilevel model with autoregressive effects for emotionality and age-at-event, respectively. Whereas word-cued AMs showed a stronger emotional order effect, important AMs were recalled temporarily ordered. Individuals differed in the extent to which they ordered AMs along a temporal or emotional dimension. These differences could partly be explained by personality traits. For instance, higher scores on neuroticism were associated with a stronger emotional order effect in both memory types. Findings are discussed in terms of the retrieval mechanisms that are involved in the recall of word-cued and important memory recall and how they may be affected by personality.

Memristor-based circuit design of episodic memory neural network and its application in hurricane category prediction

Episodic memory, as a type of long-term memory (LTM), is used to learn and store the unique personal experience. Based on the episodic memory biological mechanism, this paper proposes a bionic episodic memory memristive neural network circuit. The proposed memristive neural network circuit includes a neocortical module, a parahippocampal module and a hippocampus module. The neocortical module with the two paths structure is used to receive the sensory signal, and is also used to separate and transmit the spatial information and the non-spatial information involved in the sensory signal. The parahippocampal module is composed of the parahippocampal cortex-MEA and the perirhinal cortex-LEA, which receives the two types of information from the neocortical module respectively. As the last module, the hippocampus module receives and integrates the output information of the parahippocampal module as well as generates the corresponding episodic memory. Meanwhile, the specific scenario information with the certain temporal signal from the generated episodic memory is also extracted by the hippocampus module. The simulation results in PSPICE show that the proposed memristive neural network circuit can generate the various episodic memories and extract the specific scenario information successfully. By configuring the memristor parameters, the proposed bionic episodic memory memristive neural network circuit can be applied to the hurricane category prediction, which verifies the feasibility of this work.

Active forgetting and neuropsychiatric diseases.

Recent and pioneering animal research has revealed the brain utilizes a variety of molecular, cellular, and network-level mechanisms used to forget memories in a process referred to as "active forgetting". Active forgetting increases behavioral flexibility and removes irrelevant information. Individuals with impaired active forgetting mechanisms can experience intrusive memories, distressing thoughts, and unwanted impulses that occur in neuropsychiatric diseases. The current evidence indicates that active forgetting mechanisms degrade, or mask, molecular and cellular memory traces created in synaptic connections of "engram cells" that are specific for a given memory. Combined molecular genetic/behavioral studies using Drosophila have uncovered a complex system of cellular active-forgetting pathways within engram cells that is regulated by dopamine neurons and involves dopamine-nitric oxide co-transmission and reception, endoplasmic reticulum Ca2+ signaling, and cytoskeletal remodeling machinery regulated by small GTPases. Some of these molecular cellular mechanisms have already been found to be conserved in mammals. Interestingly, some pathways independently regulate forgetting of distinct memory types and temporal phases, suggesting a multi-layering organization of forgetting systems. In mammals, active forgetting also involves modulation of memory trace synaptic strength by altering AMPA receptor trafficking. Furthermore, active-forgetting employs network level mechanisms wherein non-engram neurons, newly born-engram neurons, and glial cells regulate engram synapses in a state and experience dependent manner. Remarkably, there is evidence for potential coordination between the network and cellular level forgetting mechanisms. Finally, subjects with several neuropsychiatric diseases have been tested and shown to be impaired in active forgetting. Insights obtained from research on active forgetting in animal models will continue to enrich our understanding of the brain dysfunctions that occur in neuropsychiatric diseases.

Abstract 82: Single-cell cytokine secretion kinetics probed by Time-lapse flow (TM) cytometry

Abstract Cytokine secretion from immune cells is a central element of the immune response and a major determinant of immunotherapy efficacy. Several methods, including bulk in-solution assays and flow cytometry, have been used to measure cytokine secretion. Population-level analyses have shown that different cytokines can have different rates of secretion, depending upon their differentiation state or the stimulus itself. However, no current method can interrogate cytokine secretion from individual cells over time. Here, we describe a novel flow cytometry-based assay for measuring single-cell cytokine secretion kinetics. Our approach, called “Time-lapse flowTM” uses semiconductor probes called laser particles (LPs) to optically barcode individual cells, providing a means to track single cells across a series of measurements over time. We applied this approach to measure T-cell cytokine secretion kinetics using stimulated primary human T cells. Isolated T cells from cryopreserved human PBMCs were barcoded with LPs and stained with a bispecific antibody that binds to the cell surface on one end and “catches” secreted cytokines (IFNy and IL-2) on the other end. This permits analysis of cytokines from live cells. Next, T cells underwent three sequential stimulations over the course of 3 hours with PMA/Ionomycin. After the first stimulation, cells were stained with a surface marker panel that defined T cell memory phenotypes (CD3, CD4, CD8, CD45RA, CCR7, CD57, CD27, and CD95) and “detection” antibodies that recognized IFNy and IL-2 bound to the cell surface. The detection antibodies were re-added after each stimulation to quantify the accumulating cytokine on the cell surface. In total, kinetic profiles from over 100,000 CD3+ cells were measured. We discovered massive heterogeneity of responding cells, identifying at least three distinct groups of cells defined by their initial time of cytokine secretion (early, middle, and late responders) and varying intensities of cytokine accumulation over time. Cells peaking in cytokine expression at the middle time points were mainly memory types with higher intensity, while later responders skewered towards naïve cells with less cytokine. However, IFNy variation wasn’t solely due to these markers, as diverse kinetics occurred across all subsets. For IL-2, we found that most responses initiated later than those of IFNy, and there was a reduced heterogeneity of both intensity and kinetics at these time points. These results were consistent across multiple donors and replicates (n=3). Laser particle barcoding enables measurement of single-cell function over time. This novel time-lapse data allows interrogation of functional heterogeneity of immune cells at scale, enabling discovery of new relationships between T cell responses, diseases, and immunotherapies. Citation Format: Marissa Fahlberg, Sarah Forward, Emane Rose Assita, Trevor Brown, Pratip Chattopadhyay, Sheldon Kwok. Single-cell cytokine secretion kinetics probed by Time-lapse flow (TM) cytometry [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 82.