Mnemonic Research Articles

Exploring memory synchronization and performance considerations for FPGA platform using the high-abstracted OpenCL framework: Benchmarks development and analysis.

A key benefit of the Open Computing Language (OpenCL) software framework is its capability to operate across diverse architectures. Field programmable gate arrays (FPGAs) are a high-speed computing architecture used for computation acceleration. This study investigates the impact of memory access time on overall performance in general FPGA computing environments through the creation of eight benchmarks within the OpenCL framework. The developed benchmarks capture a range of memory access behaviors, and they play a crucial role in assessing the performance of spinning and sleeping on FPGA-based architectures. The results obtained guide the formulation of new implementations and contribute to defining an abstraction of FPGAs. This abstraction is then utilized to create tailored implementations of primitives that are well-suited for this platform. While other research endeavors concentrate on creating benchmarks with the Compute Unified Device Architecture (CUDA) to scrutinize the memory systems across diverse GPU architectures and propose recommendations for future generations of GPU computation platforms, this study delves into the memory system analysis for the broader FPGA computing platform. It achieves this by employing the highly abstracted OpenCL framework, exploring various data workload characteristics, and experimentally delineating the appropriate implementation of primitives that can seamlessly integrate into a design tailored for the FPGA computing platform. Additionally, the results underscore the efficacy of employing a task-parallel model to mitigate the need for high-cost synchronization mechanisms in designs constructed on general FPGA computing platforms.

Investigation on self-rectifying properties of Pt/HfO2/Ti with rivet-like structure based on ALD conformal technology

This work explores an architecture for nonvolatile resistive random-access memory (RRAM) systems. The study proposes a self-rectifying RRAM device utilizing a two-terminal 1R selector that harmonizes the gate control efficacy of transistors with the inherent simplicity of diode structures. A rivet-like HfO2-based RRAM array is meticulously constructed through atomic layer deposition (ALD), aiming to enhance device performance and retention stability. The conformal fabrication technique of ALD method is critical in achieving uniform coverage of isolation layers and precise electrode placement, which is instrumental in the fabrication of high-performance memory cells. Empirical analyses indicate significant improvements in rectification and ON/OFF ratios compared to existing RRAM models, bolstered by compatibility with established CMOS processes. It reveals that these advances are conducive to scalable, high-density memory integration, positioning the RRAM as a viable contender for future computational applications that require high efficiency and neuromorphic computing capabilities.

Redefining the Association Between Memory, Mnemonics and Vocabulary Acquisition—Reviewing Paradigms in Research

The role of memory in language learning is indispensable. A child uses an extraordinary amount of memory when learning to recognise words in the language, creating rules for their use, and connecting speech to the environment and mind. Memory and learning are interdependent, as memory is the process of encoding, storing and retrieving information that is crucial to learning. The value of learning new words, along with the role of memory and mnemonic devices in the process of vocabulary acquisition, is rarely discussed. The article aims to give a comprehensive account of the word and its significance, as well as the numerous aspects that influence word learning, together with the value of learning new words and the functions of memory and mnemonic devices involved in the process of vocabulary acquisition. The various memory models, the efficient processing of information with the aid of mnemonics and how mnemonics have changed over time in studying languages and other subjects are reviewed here. The other major aspects of this study are the dual coding method and an explanation of how mnemonics operate and how mnemonics have evolved with time in studying languages and other subjects.

Working memory and inhibitory control deficits in children with ADHD: an experimental evaluation of competing model predictions.

Children with ADHD demonstrate difficulties on many different neuropsychological tests. However, it remains unclear whether this pattern reflects a large number of distinct deficits or a small number of deficit(s) that broadly impact test performance. The current study is among the first experiments to systematically manipulate demands on both working memory and inhibition, with implications for competing conceptual models of ADHD pathogenesis. A clinically evaluated, carefully phenotyped sample of 110 children with ADHD, anxiety disorders, or co-occurring ADHD+anxiety (Mage=10.35, 44 girls; 69% White Not Hispanic/Latino) completed a counterbalanced, double dissociation experiment, with two tasks each per inhibition (low vs. high) x working memory (low vs. high) condition. Bayesian and frequentist models converged in indicating that both manipulations successfully increased demands on their target executive function (BF10>5.33x108, p<.001). Importantly, occupying children's limited capacity working memory system produced slower response times and reduced accuracy on inhibition tasks (BF10>317.42, p<.001, d=0.67-1.53). It also appeared to differentially reduce inhibition (and non-inhibition) accuracy for children with ADHD relative to children with anxiety (BF10=2.03, p=.02, d=0.50). In contrast, there was strong evidence against models that view working memory deficits as secondary outcomes of underlying inhibition deficits in ADHD (BF01=18.52, p=.85). This pattern indicates that working memory broadly affects children's ability to inhibit prepotent tendencies and maintain fast/accurate performance, and may explain the errors that children with ADHD make on inhibition tests. These findings are broadly consistent with models describing working memory as a causal mechanism that gives rise to secondary impairments. In contrast, these findings provide evidence against models that view disinhibition as a cause of working memory difficulties or view working memory as a non-causal correlate or epiphenomenon in ADHD.

Memory, mood and associated neuroanatomy in individuals with steroid sulphatase deficiency (X-linked ichthyosis).

Steroid sulphatase (STS) cleaves sulphate groups from steroid hormones, and steroid (sulphate) levels correlate with mood and age-related cognitive decline. In animals, STS inhibition or deletion of the associated gene, enhances memory/neuroprotection and alters hippocampal neurochemistry. Little is known about the consequences of constitutive STS deficiency on memory-related processes in humans. We investigated self-reported memory performance (Multifactorial Memory Questionnaire), word-picture recall and recent mood (Kessler Psychological Distress Scale, K10) in adult males with STS deficiency diagnosed with the dermatological condition X-linked ichthyosis (XLI; n = 41) and in adult female carriers of XLI-associated genetic variants (n = 79); we compared results to those obtained from matched control subjects [diagnosed with ichthyosis vulgaris (IV, n = 98) or recruited from the general population (n = 250)]. Using the UK Biobank, we compared mood/memory-related neuroanatomy in carriers of genetic deletions encompassing STS (n = 28) and non-carriers (n = 34,522). We found poorer word-picture recall and lower perceived memory abilities in males with XLI and female carriers compared with control groups. XLI-associated variant carriers and individuals with IV reported more adverse mood symptoms, reduced memory contentment and greater use of memory aids, compared with general population controls. Mood and memory findings appeared largely independent. Neuroanatomical analysis only indicated a nominally-significantly larger molecular layer in the right hippocampal body of deletion carriers relative to non-carriers. In humans, constitutive STS deficiency appears associated with mood-independent impairments in memory but not with large effects on underlying brain structure; the mediating psychobiological mechanisms might be explored further in individuals with XLI and in new mammalian models lacking STS developmentally.

Effects of Declarative and Procedural Memory in the Development of Grammatical Structures

To investigate how the interplay between the declarative and procedural memory systems and learning conditions influences second language acquisition, we conducted a cross-sectional study involving 102 primary, secondary, and university English learners in a real-world English-medium educational context. Linguistic and non-linguistic measures of declarative and procedural memory were used. The untimed grammaticality judgement test was used to measure the learners’ grammatical knowledge of nine features considered to have been taught explicitly (Explicitly Taught) and four others that were likely not taught explicitly (Not Explicitly Taught). To control for random variability at item and participant level, we constructed a series of linear mixed-effects models to examine the effects of memory. Overall, declarative memory was associated with both structural types across the educational levels while procedural memory was associated with learners’ performance at lower levels of L2 acquisition, contrary to Ullman’s declarative and procedural memory model.

Light‐adaptive Mimicking Retina with In Situ Image Memorization via Resistive Switching Photomemristor Arrays

AbstractArtificial visual memory systems have been of particular interest since the development of machine vision and bionic robots. Ordinarily, the conventional system architecture requires the complex integration of two functional modules, a photo‐sensor and a memory device, which greatly limits the operating efficiency and increases the extra energy consumption. Nonetheless, other simply configured optoelectronics memory devices generally face challenges of adaption in complex light environments. Here, a resistive switching (RS) perovskite‐based photomemristor is presented that mimics the retina function. The dual function of light perception and in situ storage are both achieved. In the dark condition, it exhibits impressive memory performance with a high ON/OFF ratio of 104, a long retention time of over 104 s, and a low operating voltage of 0.38 V. With illumination, it shows self‐powered, broadband photo‐detecting characteristics with responsivity of 70 mA W−1 and detectivity of 7.5 × 1010 Jones. More importantly, benefiting from the material dual‐phase configuration, the highly steady photo‐adjusted RS windows are achieved. Its light‐adaptive memory application in dynamic environments is further demonstrated using the mimicking retina for a machine eye. This work can provide a strategy for enhanced RS photomemristor and its application in changing and varied scenarios.

Use of Function Diagrams in Physiology Education: Nessie the Nephron and Navigating the Lochs

Function diagrams focus on physiological concepts rather than associated structures and can serve as elaboration tools and mnemonic aids. A function diagram prototype of the gastrointestinal system was recently described (Wilson &amp; Barrett, Adv Physiol Educ, 45:264–268, 2021). Currently, a functional diagram of the glomerulus, nephron, urinary system, and bladder is proposed. Colloquially named “Nessie the Nephron” to loosely capture the looping structure and illusive understanding of renal blood flow, glomerular filtration, and epithelial transport for the student, not to mention the nearly mythical countercurrent multiplier. “Navigating the Lochs” references Nessie’s possible habitat and more importantly the movement and storage of the modified ultrafiltrate from the nephron. The primary analogies that form the structure of this function diagram are: Rain Barrel, Soaker Hose, &amp; Hose Nozzle (afferent and efferent blood flow and filtration pressure); Water Purification System (glomerular filtration barrier forming multiple step filtration process involving the capillary, basement membrane, and podocytes); Mixed Recycling Machine (proximal tubule individual, co-, and bulk transport); Desiccator &amp; Briner (thin descending limb removal of water and thin/thick ascending limb movement of salt); Conveyor Belt Picker (distal nephron selective ion transport); and Concentrator (collecting duct water and urea transport). The primary analogies that elaborate “Navigating the Lochs” are Aqueduct &amp; Cistern System (fluid movement and collection); and Pressure Gauge, Syringe Bulb, and Two-valve Plumbing (bladder storage and micturition). Complimenting these analogies is the rich potential for inclusion of clinical and comparative applications and examples to link previous knowledge and strengthen memories for future retrieval. University of Kentucky College of Medicine. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

From silos to synergy: Integrating approaches to investigate the role of prior knowledge and expectations on episodic memory.

Significant progress in the investigation of how prior knowledge influences episodic memory has been made using three sometimes isolated (but not mutually exclusive) approaches: strictly adult behavioral investigations, computational models, and investigations into the development of the system. Here we point out that these approaches are complementary, each approach informs and is informed by the other. Thus, a natural next step for research is to combine all three approaches to further our understanding of the role of prior knowledge in episodic memory. Here we use studies of memory for expectation-congruent and incongruent information from each of these often disparate approaches to illustrate how combining approaches can be used to test and revise theories from the other. This domain is particularly advantageous because it highlights important features of more general memory processes, further differentiates models of memory, and can shed light on developmental change in the memory system. We then present a case study to illustrate the progress that can be made from integrating all three approaches and highlight the need for more endeavors in this vein. As a first step, we also propose a new computational model of memory that takes into account behavioral and developmental factors that can influence prior knowledge and episodic memory interactions. This integrated approach has great potential for offering novel insights into the relationship between prior knowledge and episodic memory, and cognition more broadly.

Energy Consumption and Carbon Emission Reduction in HVAC System of a Dynamic Random Access Memory (DRAM) Semiconductor Fabrication Plant (fab)

Energy Consumption and Carbon Emission Reduction in HVAC System of a Dynamic Random Access Memory (DRAM) Semiconductor Fabrication Plant (fab)

Efficacy Of Mnemonic Techniques In Enhancing History Achievement Among IX Standard Students

Efficacy Of Mnemonic Techniques In Enhancing History Achievement Among IX Standard Students

Age‐related advantage for recall of complex naturalistic information following cognitive offloading

AbstractPrevious work on cognitive offloading has found that young and older adults create and use external memory aids to boost performance on simple memory‐based tasks. To date, little work has investigated whether cognitive offloading can benefit performance when the memoranda are complex and naturalistic. In this study, 64 participants (32 young adults aged 18–26 years and 32 older adults aged 60+ years) studied facts about health conditions, then completed free recall and old‐new recognition tests under two conditions. In the cognitive offloading choice condition, participants could create notes during study to use on upcoming memory tests. In the internal memory condition, participants had to rely on internal memory alone. Both age groups benefited from using cognitive offloading. Notably, older adults outperformed young adults on the free recall test when given the opportunity to offload. These results suggest that cognitive offloading can help older adults overcome everyday memory challenges.

Parallel Algorithm for Discovering and Comparing Three-Dimensional Proteins Patterns.

Identifying conserved (similar) three-dimensional patterns among a set of proteins can be helpful for the rational design of polypharmacological drugs. Some available tools allow this identification from a limited perspective, only considering the available information, such as known binding sites or previously annotated structural motifs. Thus, these approaches do not look for similarities among all putative orthosteric and or allosteric bindings sites between protein structures. To overcome this tech-weakness Geomfinder was developed, an algorithm for the estimation of similarities between all pairs of three-dimensional amino acids patterns detected in any two given protein structures, which works without information about their known patterns. Even though Geomfinder is a functional alternative to compare small structural proteins, it is computationally unfeasible for the case of large protein processing and the algorithm needs to improve its performance. This work presents several parallel versions of the Geomfinder to exploit SMPs, distributed memory systems, hybrid version of SMP and distributed memory systems, and GPU based systems. Results show significant improvements in performance as compared to the original version and achieve up to 24.5x speedup when analyzing proteins of average size and up to 95.4x in larger proteins.

Roles of feedback and feed-forward networks of dopamine subsystems: insights from Drosophila studies.

Across animal species, dopamine-operated memory systems comprise anatomically segregated, functionally diverse subsystems. Although individual subsystems could operate independently to support distinct types of memory, the logical interplay between subsystems is expected to enable more complex memory processing by allowing existing memory to influence future learning. Recent comprehensive ultrastructural analysis of the Drosophila mushroom body revealed intricate networks interconnecting the dopamine subsystems-the mushroom body compartments. Here, we review the functions of some of these connections that are beginning to be understood. Memory consolidation is mediated by two different forms of network: A recurrent feedback loop within a compartment maintains sustained dopamine activity required for consolidation, whereas feed-forward connections across compartments allow short-term memory formation in one compartment to open the gate for long-term memory formation in another compartment. Extinction and reversal of aversive memory rely on a similar feed-forward circuit motif that signals omission of punishment as a reward, which triggers plasticity that counteracts the original aversive memory trace. Finally, indirect feed-forward connections from a long-term memory compartment to short-term memory compartments mediate higher-order conditioning. Collectively, these emerging studies indicate that feedback control and hierarchical connectivity allow the dopamine subsystems to work cooperatively to support diverse and complex forms of learning.

Positive autobiographical memory recall does not influence temporal discounting: An internal meta-analysis of experimental studies

People tend to discount the value of future rewards as the delay to receiving them increases. This phenomenon, known as temporal discounting, may underlie many impulsive behaviors, such as drug abuse and overeating. Given the potential role of temporal discounting in maladaptive behaviors, many efforts have been made to find experimental manipulations that reduce temporal discounting. One class of manipulations that has held some promise involves recalling positive autobiographical memories prior to making intertemporal choices. Just as imagining positive future events has been shown to reduce temporal discounting, a few studies have shown that recalling positive past events reduces temporal discounting, especially if memory retrieval evokes positive affective states, such as gratitude and nostalgia. However, we failed to replicate these findings. Here we present an internal meta-analysis combining data from 14 studies (n = 758) that involved within-subjects positive memory recall-based manipulations. In each study, temporal discounting was assessed using a monetary intertemporal choice task. The average effect size was not significantly different from zero. This finding helps elucidate the neurocognitive mechanisms of temporal discounting; whereas engaging the episodic memory system to imagine future events might promote more patience, engaging the episodic memory system to imagine past events does not.

Accurate Data Race Prediction in the Linux Kernel through Sparse Fourier Learning

Testing for data races in the Linux OS kernel is challenging because there is an exponentially large space of system calls and thread interleavings that can potentially lead to concurrent executions with races. In this work, we introduce a new approach for modeling execution trace feasibility and apply it to Linux OS Kernel race prediction. To address the fundamental scalability challenge posed by the exponentially large domain of possible execution traces, we decompose the task of predicting trace feasibility into independent prediction subtasks encoded as learning Boolean indicator functions for specific memory accesses, and apply a sparse fourier learning approach to learning each feasibility subtask. Boolean functions that are sparse in their fourier domain can be efficiently learned by estimating the coefficients of their fourier expansion. Since the feasibility of each memory access depends on only a few other relevant memory accesses or system calls (e.g., relevant inter-thread communications), we observe that trace feasibility functions often have this sparsity property and can be learned efficiently. We use learned trace feasibility functions in conjunction with conservative alias analysis to implement a kernel race-testing system, HBFourier, that uses sparse fourier learning to efficiently model feasibility when making predictions. We evaluate our approach on a recent Linux development kernel and show it finds 44 more races with 15.7% more accurate race predictions than the next best performing system in our evaluation, in addition to identifying 5 new race bugs confirmed by kernel developers.

Effectiveness of Mnemonic Instructional Strategy for Enhancing Geography Achievement among Standard IX Students

The investigators employed a quasi-experimental approach to assess the effectiveness of mnemonic instructional techniques in enhancing geography proficiency among ninth- standard students at a Government Girls Higher Secondary School in Namakkal District, Tamil Nadu. Samples were selected using purposive sampling, with two sections, A and C, chosen for the experimental and control groups, respectively. Each group consisted of 40 regular students, with standardized achievement tests conducted as pre-tests and post-tests. The control group followed traditional lesson plans, while the experimental group taught through mnemonic instructional strategies in Tamil, developed and validated by six subject teachers. Results revealed that students taught using mnemonic strategies surpassed those taught traditionally, highlighting the benefits of incorporating mnemonic techniques in geography education, including improved retention, increased engagement, academic success, and the cultivation of transferable skills.

Mental causation: an evolutionary perspective.

The relationship between consciousness and individual agency is examined from a bottom-up evolutionary perspective, an approach somewhat different from other ways of dealing with the issue, but one relevant to the question of animal consciousness. Two ways are identified that would decouple the two, allowing consciousness of a limited kind to exist without agency: (1) reflex pathways that incorporate conscious sensations as an intrinsic component (InCs), and (2) reflexes that are consciously conditioned and dependent on synaptic plasticity but not memory (CCRs). Whether InCs and CCRs exist as more than hypothetical constructs is not clear, and InCs are in any case limited to theories where consciousness depends directly on EM field-based effects. Consciousness with agency, as we experience it, then belongs in a third category that allows for deliberate choice of alternative actions (DCs), where the key difference between this and CCR-level pathways is that DCs require access to explicit memory systems whereas CCRs do not. CCRs are nevertheless useful from a heuristic standpoint as a conceptual model for how conscious inputs could act to refine routine behaviors while allowing evolution to optimize phenomenal experience (i.e., qualia) in the absence of individual agency, a somewhat counterintuitive result. However, so long as CCRs are not a required precondition for the evolution of memory-dependent DC-level processes, the later could have evolved first. If so, the adaptive benefit of consciousness when it first evolved may be linked as much to the role it plays in encoding memories as to any other function. The possibility that CCRs are more than a theoretical construct, and have played a role in the evolution of consciousness, argues against theories of consciousness focussed exclusively on higher-order functions as the appropriate way to deal with consciousness as it first evolved, as it develops in the early postnatal period of life, or with the conscious experiences of animals other than ourselves. An evolutionary perspective also resolves the problem of free will, that it is best treated as a property of a species rather than the individuals belonging to that species whereas, in contrast, agency is an attribute of individuals.

In Search of Dispersed Memories: Generative Diffusion Models Are Associative Memory Networks.

Uncovering the mechanisms behind long-term memory is one of the most fascinating open problems in neuroscience and artificial intelligence. Artificial associative memory networks have been used to formalize important aspects of biological memory. Generative diffusion models are a type of generative machine learning techniques that have shown great performance in many tasks. Similar to associative memory systems, these networks define a dynamical system that converges to a set of target states. In this work, we show that generative diffusion models can be interpreted as energy-based models and that, when trained on discrete patterns, their energy function is (asymptotically) identical to that of modern Hopfield networks. This equivalence allows us to interpret the supervised training of diffusion models as a synaptic learning process that encodes the associative dynamics of a modern Hopfield network in the weight structure of a deep neural network. Leveraging this connection, we formulate a generalized framework for understanding the formation of long-term memory, where creative generation and memory recall can be seen as parts of a unified continuum.

Transactive Memory Systems and Acquisition Performance: A Strategic Decision Making Process Perspective

AbstractDuring the pre‐merger phase of an acquisition, fundamental decisions are made concerning whether to buy, which company to buy, and how much to pay. Further, acquisitions carry significant firm‐wide implications requiring input from multiple different specializations, and hence, they are the product of the judgements, decisions, and social interactions between top managers. We focus our theory development on a pivotal yet under‐researched top management team characteristic, transactive memory system (TMS). TMS is the shared division of cognitive labour with respect to encoding, storing, and retrieving knowledge from individual areas of expertise. We theorize that TMT transactive memory directly influences the strategic decision making process, which in turn determines acquisition performance. We test our hypotheses with a sample of 109 acquisitions, combining survey and archival data. We find that TMT transactive memory increases reliance on expert intuition and procedural rationality, while reducing political behaviour; and each of these three strategic decision processes carries different implications for acquisition performance. Our study advances theory by explaining the team‐level behavioural mechanisms that underlie acquisition performance.