Relevant bibliographies by topics / Long-term memory – Research

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Long-term memory – Research'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Long-term memory – Research"

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Morris, Richard G. M. "Long-term potentiation and memory." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 358, no. 1432 (2003): 643–47. http://dx.doi.org/10.1098/rstb.2002.1230.

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The discovery of long-term potentiation (LTP) transformed research on the neurobiology of learning and memory. This did not happen overnight, but the discovery of an experimentally demonstrable phenomenon reflecting activity-driven neuronal and synaptic plasticity changed discussions about what might underlie learning from speculation into something much more concrete. Equally, however, the relationship between the discovery of LTP and research on the neurobiology of learning and memory has been reciprocal; for it is also true that studies of the psychological, anatomical and neurochemical basis of memory provided a developing and critical intellectual context for the physiological discovery. The emerging concept of multiple memory systems, from 1970 onwards, paved the way for the development of new behavioural and cognitive tasks, including the watermaze described in this paper. The use of this task in turn provided key evidence that pharmacological interference with an LTP induction mechanism would also interfere with learning, a finding that was by no means a foregone conclusion. This reciprocal relationship between studies of LTP and the neurobiology of memory helped the physiological phenomenon to be recognized as a major discovery.
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Barajas-Azpeleta, Raquel, Jianping Wu, Jason Gill, et al. "Antimicrobial peptides modulate long-term memory." PLOS Genetics 14, no. 10 (2018): e1007440. http://dx.doi.org/10.1371/journal.pgen.1007440.

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Czachesz, István. "Long-Term, Explicit Memory in Rituals." Journal of Cognition and Culture 10, no. 3-4 (2010): 327–39. http://dx.doi.org/10.1163/156853710x531212.

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AbstractThis article reconsiders the problem of memorization in rituals in light of recent empirical work in memory research. Four hypotheses are put forward in particular: (1) Emotionally laden details will enhance the formation of memories about any detail of the ritual; (2) harsh sensory stimuli will function as attention-magnets, resulting in increased memorization of the stimuli at the cost of remembering other elements of the ritual; (3) the self-relatedness of a ritual will enhance the formation of memories about the ritual, although the positive effect might be limited to details that are self-related; and (4) stress can be understood to function as a “zoom,” limiting the range of details remembered. The effects of stress will be modulated by gender differences and the timing of the ritual within the circadian cycle. The consequences of the four hypotheses are compared with the predictions of the Modes Theory and the Ritual Form Theory.
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Skodzik, Timo, Heinz Holling, and Anya Pedersen. "Long-Term Memory Performance in Adult ADHD." Journal of Attention Disorders 21, no. 4 (2016): 267–83. http://dx.doi.org/10.1177/1087054713510561.

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Objective: Memory problems are a frequently reported symptom in adult ADHD, and it is well-documented that adults with ADHD perform poorly on long-term memory tests. However, the cause of this effect is still controversial. The present meta-analysis examined underlying mechanisms that may lead to long-term memory impairments in adult ADHD. Method: We performed separate meta-analyses of measures of memory acquisition and long-term memory using both verbal and visual memory tests. In addition, the influence of potential moderator variables was examined. Results: Adults with ADHD performed significantly worse than controls on verbal but not on visual long-term memory and memory acquisition subtests. The long-term memory deficit was strongly statistically related to the memory acquisition deficit. In contrast, no retrieval problems were observable. Conclusion: Our results suggest that memory deficits in adult ADHD reflect a learning deficit induced at the stage of encoding. Implications for clinical and research settings are presented.
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Lynch, G. "Long-term potentiation in the Eocene." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 358, no. 1432 (2003): 625–28. http://dx.doi.org/10.1098/rstb.2002.1253.

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The first ten years of long-term potentiation (LTP) research are reviewed. Surprisingly, given the intensity of current interest, the discovery paper did not trigger a wave of follow-on experiments. Despite this, the initial work laid out what ultimately became standard questions and paradigms. The application of the then still novel hippocampal slice technique oriented LTP towards basic neuroscience, perhaps somewhat at the cost of lesser attention to its functional significance. The use of slices led to the discovery of the events that trigger the formation of LTP and provided some first clues about its extraordinary persistence. Signs of the intense controversy over the nature of LTP expression (release vs receptors) emerged towards the end of the first decade of work. What appears to be lacking in the literature of that time is a widespread concern about LTP and memory. This may reflect a somewhat different attitude that neurobiologists then had towards memory research and a perceived need to integrate the new potentiation phenomenon into the web of established science before advancing extended arguments about its contributions to behaviour.
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Salander, P�r, Thomas Karlsson, Tommy Bergenheim, and Roger Henriksson. "Long-term memory deficits in patients with malignant gliomas." Journal of Neuro-Oncology 25, no. 3 (1995): 227–38. http://dx.doi.org/10.1007/bf01053156.

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Lee, Justin Q., Erin L. Zelinski, Robert J. McDonald, and Robert J. Sutherland. "Heterarchic reinstatement of long-term memory: A concept on hippocampal amnesia in rodent memory research." Neuroscience & Biobehavioral Reviews 71 (December 2016): 154–66. http://dx.doi.org/10.1016/j.neubiorev.2016.08.034.

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Xie, Qi, Gengguo Cheng, Xu Xu, and Zixuan Zhao. "Research Based on Stock Predicting Model of Neural Networks Ensemble Learning." MATEC Web of Conferences 232 (2018): 02029. http://dx.doi.org/10.1051/matecconf/201823202029.

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Financial time series is always one of the focus of financial market analysis and research. In recent years, with the rapid development of artificial intelligence, machine learning and financial market are more and more closely linked. Artificial neural network is usually used to analyze and predict financial time series. Based on deep learning, six layer long short-term memory neural networks were constructed. Eight long short-term memory neural networks were combined with Bagging method in ensemble learning and predicting model of neural networks ensemble learning was used in Chinese Stock Market. The experiment tested Shanghai Composite Index, Shenzhen Composite Index, Shanghai Stock Exchange 50 Index, Shanghai-Shenzhen 300 Index, Medium and Small Plate Index and Gem Index during the period from January 4, 2012 to December 29, 2017. For long short-term memory neural network ensemble learning model, its accuracy is 58.5%, precision is 58.33%, recall is 73.5%, F1 value is 64.5%, and AUC value is 57.67%, which are better than those of multilayer long short-term memory neural network model and reflect a good prediction outcome.
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Huynh, Viet Quoc, Quynh Nguyen-Thi-Nhu, Minh Duc Tran, Anh Ngoc Le, Phuoc Thanh Nguyen, and Tuan Van Huynh. "Application of long short term memory algorithm in classification electroencephalogram." Science and Technology Development Journal - Natural Sciences 5, no. 2 (2021): first. http://dx.doi.org/10.32508/stdjns.v5i2.1006.

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Human emotion plays an important role in communication without language, and it also supports research on human behavior. In addition, electroencephalogram signals have been highly confirmed by researchers for reliability as well as ease of storage and recognition. So, the use of electroencephalogram to identify emotion signals are currently a relatively new field. Many researchers are targeting the key ideas in this research field such as signal preprocessing, feature extraction and algorithm optimization. In this paper, we aim to recognize emotion signals using Long Short Term Memory (LSTM) algorithms. Emotional signals dataset was taken from DEAP database of koelstra authors and associates to serve this research. The research will focus on accuracy and training time, and it will test different architectural types as well as the initials of LSTM. The obtained results show the 3-dimensional cubes's structure has better performance than the 2-dimensional cubes's structure. In addition, our research is also compared with other authors' studies to prove the effectiveness of the classification algorithm.
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Labusov, M. V. "SHORT-TERM FINANCIAL TIME SERIES ANALYSIS WITH LONG SHORT-TERM MEMORY NEURAL NETWORKS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 3, no. 4 (2021): 165–77. http://dx.doi.org/10.36871/ek.up.p.r.2021.04.03.023.

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The process of creating a long short-term memory neural network for high-frequency financial time series analyzing and forecasting is considered in the article. The research base is compiled in the beginning. Further the estimation of long short-term memory neural network parameters is carried out on the learning subsamples. The forecast of future returns signs is made for the horizon of 90 minutes with the estimated neural network. In conclusion the trading strategy is formulated.
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Dissertations / Theses on the topic "Long-term memory – Research"

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Sparks, Fraser T. "Interactions of the hippocampus and non-hippocampal long-term memory systems during learning, remembering, and over time." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Neuroscience, c2012, 2012. http://hdl.handle.net/10133/3116.

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The hippocampus and non-hippocampal long-term memory systems each have the capacity to learn and express contextual fear memory. How these systems interact during learning and remembering revolves around hippocampal mediated interference, where the hippocampus dominates for both the acquisition and expression of long-term memory. Hippocampal interference during learning can be overcome by modifying learning parameters such that learning is distributed across multiple independent sessions. The standard view of the role of the hippocampus in long-term memory retrieval is that it is temporally limited, where recently acquired memory is dependent on hippocampal function though as a memory ages, dependency is transferred to other memory systems by a process called systems consolidation. Distributed training demonstrates that learning parameters create a memory that is resistant to hippocampal damage. We find little evidence to support temporally based systems consolidation, and present data that supports the view that if the hippocampus is initially involved in learning a memory, it will always be necessary for accurate retrieval of that memory. A critical assessment of the rat literature revealed that initial memory strength, and/or lesion techniques might be responsible for the few studies that report temporally graded retrograde amnesia using contextual fear conditioning. Our experiments designed to directly test these possibilities resulted in flat gradients, providing further evidence that the hippocampus plays a permanent role in long-term memory retrieval. We propose and assess alternatives to the standard model and conclude that a dual store model is most parsimonious within the presented experiments and related literature. Interactions of the hippocampus and non-hippocampal systems take place at the time of learning and remembering, and are persistent over time.<br>xvi, 161 leaves : ill. (some col.) ; 29 cm
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Gulbrandsen-MacDonald, Tine L., and University of Lethbridge Faculty of Arts and Science. "The role of the hippocampus and post-learning hippocampal activity in long-term consolidation of context memory." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Neuroscience, c2011, 2011. http://hdl.handle.net/10133/2635.

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Sutherland, Sparks and Lehmann (2010) proposed a new theory of memory consolidation, termed Distributed Reinstatement Theory (DRT), where the hippocampus (HPC) is needed for initial encoding but some types of memories are established in non-HPC systems through post-learning HPC activity. An evaluation of the current methodology of temporary inactivation was conducted experimentally. By permanently implanting two bilateral guide cannulae in the HPC and infusing ropivacaine cellular activity could be reduced by 97%. Rats were trained in a context-fear paradigm. Six learning episodes distributed across three days made the memory resistant to HPC inactivation while three episodes did not. Blocking post-learning HPC activity following three of six training sessions failed to reduce the rat’s memory of the fearful context. These results fail to support DRT and indicate that one or more memory systems outside the HPC can acquire context memory without HPC post-event activity.<br>x, 85 leaves : ill. ; 29 cm
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Chaparro, Francisco Javier. "Biocompatible Electrospun Vehicles To Enhance the Effectiveness Of Anti-Fertility Strategies And Their Biomimetic Properties As Blood Vessel Scaffolds." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1514986344784852.

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Motlhabane, Otsile. "Exploring the relation between language experience, verbal working memory and visual and verbal long-term memory." Thesis, 2016. http://hdl.handle.net/10539/21815.

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Degree: MA in Psychology by Coursework and Research Report, 2016<br>A comprehensive study has demonstrated that language experience provides cognitive benefits above the attainment of a second language (Bialystok, Craik, Green & Gollan, 2009) and thus it is purported that being a bi/multilingual stimulates memory and other executive functions (Jessner, 1999).The relation between language experience and verbal working memory and visual and verbal long-term memory was explored by assessing 30 healthy, young multilingual adults. The instruments that were used for this study are as follows: The Language Experience and Proficiency Questionnaire (LEAP-Q) which rated self-reported language experience/s, the Letter-Number Sequencing subtest from the WAIS-IV which assessed verbal working memory, the Visual Reproduction (VR) subtest from the WMS-IV which evaluated visual long-term memory and the Rey Auditory Verbal Learning Test (RAVLT) which measured verbal memory and learning. The results of the ANOVA statistics found that there was a correlation between language experience and verbal long-term memory (which was measured by utilising the RAVLT), but no links between language experience and verbal working memory and visual long-term memory were found. The results suggest that the language experience of young, multilingual adult South Africans is not related with verbal working memory and visual long-term memory.<br>MT2017
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HUANG, MAN-TING, and 黃曼婷. "Using Long Short-Term Memory Deep Learning in PM2.5 Multivariate Time Series Data Prediction research." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/797r29.

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碩士<br>開南大學<br>資訊學院碩士班<br>107<br>Abstract This research builds a Long Short-Term Memory (LSTM) model to forecast univariate and multivariate Time Series Data by using TensorFlow, which is an open source platform for machine learning. The subject of research is the PM2.5 air quality index (AQI) per hour per day at Taoyuan District of Taoyuan City, Taiwan (R.O.C), with 1704 records in total. The data period is ranged from 2017/04/01 to 2017/06/30. The input features are the measured PM2.5, temperature, humidity, wind speed, rainfall. Finally, the purpose of this research is to generate the best forecast results by parameter adjustment and analysis of the average and the short-term variability of root-mean-square error index. The forecast results generated by using the best parameters combinations data of both LSTM predict models are as follows: In Univariate Time Series Forecasting, the average of root-mean-square errors are 6.176 (Train Score) and 5.163 (Test Score), the short-term variability are 0.086839234 (Train Score) and 0.134755139 (Test Score). In Multivariate Time Series Forecasting, the average of root-mean-square errors are 6.1068 (Train Score) and 4.45025 (Test Score), the short-term variability are 0.01156492 (Train Score) and 0.016189259 (Test Score).
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CHANG, WAN-CHUN, and 張琬鈞. "A research of applying Long Short-Term Memory to predict the number of departure passengers from Taiwan." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/75g8rk.

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碩士<br>開南大學<br>資訊學院碩士在職專班<br>107<br>Science and technology improve day by day, and artificial intelligence has become a trend of current and future development. Artificial intelligence has been closely related to our lives, such as mobile voice assistants, Google's Gmail spam automatic classification, smart speakers, face recognition and more. Everyone can easily get started. In recent years, Taiwan has a strong sense of tourism. According to the Tourism Statistics Database of the Taiwan Tourism Bureau, the total number of Taiwan going abroad has risen from 8,465.72 million in 97 yearrs to 16,644,684,700 in the 107 years, which has exceeded 100 million. Among them, the proportion of the Asian region accounts for 90%. Therefore, this study selected countries in the Asian region, namely Japan, South Korea, and China, as research objects. This study used the Long Short-Term Memory （LSTM） to study the number of Taiwanese outbounds and sorted the research data in time series: monthly national departures and average exchange rates from 2008 to 2018, and monthly The overall economic indicators of the Chinese people are compiled as data output indicators and input indicators, and the data is divided into training （TrainData） data and prediction （TestData） data, and root mean square error is calculated by LSTM prediction （Root-Mean-Square Error, RMSE）. And Mean Absolute Percentage Error （MAPE）, for predictive analysis on data. According to the results of this study, the average absolute error percentage （MAPE） of Taiwan's outbound population from 2008 to 2018. The MAPE error rates for single-dimensional exits in Japan, South Korea, and China are 9.96%, 10.99%, and 9.56%, respectively; the multi-dimensional MAPE error rates are 8.82%, 8.15%, and 8.67%, respectively, which are less than 10%. The accuracy is highly predictive. The results of this study are more suitable for multidimensional long- and short-term memory models.
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Ellen, Charles. "RNAi-mediated knockdown of chromatin modifier proteins and their effect on long-term memory in Drosophila : a thesis presented to Massey University in partial fulfillment of the requirements for the degree of Master of Science in Genetics." 2008. http://hdl.handle.net/10179/873.

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Memory formation in Drosophila melanogaster is composed of two pathways that are genetically distinct, and functionally independent of each other. These are short-term and long-term memory. Short-term memory is a transient phenomenon, located in the cytoplasm of the neuronal cells, which requires no alteration of gene expression. The formation of long-term memory requires a change in gene expression, therefore chromatin-modifying complexes may play an integral part. The mushroom-bodies of Drosophila are a distinct bilateral brain structure and are essential for the formation and recollection of long-term memory. Therefore, an alteration in gene expression within the mushroom bodies is essential to the formation of long-term memory. Disruption of a gene within the mushroom-bodies that resulted in an alteration in the formation of long-term memory would indicate that the gene is involved in long-term memory. In order to investigate the role of the two chromatin-modifying proteins, HDACX and pr-Set7, whose role in memory function is unknown, RNA interference was used to knockdown expression of their respective mRNA. Published GAL4 lines were used to drive down expression in the mushroom bodies. The efficacy of the knockdown on levels of mRNA was measured by quantitative RT-PCR. The effect of these knockdowns on the formation of long-term memory was assayed using conditioned courtship. Additionally, the actual spatial and temporal expression of the GAL4 drivers was investigated using fluorescent proteins, and analysed using fluorescent microscopy. Both pr-set7 and HDACX appear to play a role in long-term memory function. The RNAi-induced knockdown of the individual mRNAs caused impairment in long-term memory formation, although the exact mode of action is still to be elucidated. The levels of mRNA from these knockdowns were reduced within the head, although not to the extent expected. The fluorescent microscopy analysis indicated that the expression of mushroom-body specific GAL4 drivers was more widespread than previously reported.
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Books on the topic "Long-term memory – Research"

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Robyn, Fivush, ed. Long-term retention of infant memories. L. Erlbaum Associates, 1994.

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Ferguson, Robert, and Karen Gillock. Memory and Attention Adaptation Training. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197521526.001.0001.

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Memory and Attention Adaptation Training (MAAT) is a cognitive-behavioral therapy (CBT) designed to help cancer survivors self-manage and mitigate the late and long-term effects of cancer and cancer therapy on memory function. Cancer-related cognitive impairment (CRCI) is a set of mild to moderate memory and attention impairments that can have an adverse influence on quality of life. CRCI symptoms tend to present during active treatment, but for some individuals cognitive changes can persist for years. While the exact prevalence of CRCI is unknown, review of the literature estimates that nearly half of all survivors may experience some form of CRCI. Causes of CRCI are multiple and are the subject of continued research. Chemotherapy, genetic vulnerability, neurovascular damage, inflammation, and hormonal/endocrine disruption have all been identified as candidate mechanisms of persistent cognitive change. Given the multiple causal mechanisms, finding a biomedical treatment for CRCI remains elusive. MAAT was developed as a CBT to help cancer survivors make adaptive behavioral and cognitive changes to improve performance in the valued activities that CRCI hinders. MAAT consists of eight visits and has been designed for administration through telehealth technology, improving access to the survivorship care that so many cancer survivors may lack after the time and expense of cancer treatment. Survivors can use this workbook to reinforce their in-session learning and continue to build adaptive coping.
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Ferguson, Robert, and Karen Gillock. Memory and Attention Adaptation Training. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197521571.001.0001.

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Memory and Attention Adaptation Training (MAAT) is a cognitive-behavioral therapy (CBT) designed to help cancer survivors self-manage and mitigate the late and long-term effects of cancer and cancer therapy on memory function. Cancer-related cognitive impairment (CRCI) is a set of mild to moderate memory and attention impairments that can have an adverse influence on quality of life. CRCI symptoms tend to present during active treatment, but for some individuals cognitive changes can persist for years. While the exact prevalence of CRCI is unknown, review of the literature estimates that nearly half of all survivors may experience some form of CRCI. Causes of CRCI are multiple and are the subject of continued research. Chemotherapy, genetic vulnerability, neurovascular damage, inflammation, and hormonal/endocrine disruption have all been identified as candidate mechanisms of persistent cognitive change. Given the multiple causal mechanisms, finding a biomedical treatment for CRCI remains elusive. MAAT was developed as a CBT to help cancer survivors make adaptive behavioral and cognitive changes to improve performance in the valued activities that CRCI hinders. MAAT consists of eight visits and has been designed for administration through telehealth technology, improving access to survivorship care that so many cancer survivors may lack after the time and expense of cancer treatment. Survivors are provided a workbook they can use to work with their clinician and to reinforce learning and adaptive coping. This clinician manual guides the clinician step by step on MAAT administration and provides background on the theoretical underpinnings of CRCI and MAAT.
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Porta, Donatella della, Massimiliano Andretta, Tiago Fernandes, Eduardo Romanos, and Markos Vogiatzoglou. Past and Present. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190860936.003.0001.

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The introductory chapter discusses the concepts of legacy and memory and suggests ways to use them in an analysis of long-term effects of movement participation in the transition to democracy on future generations of movements. First, it looks at the ways in which paths of transitions, with particular attention to movement participation in them, have long-term effects on movements to come by creating institutional change. Second, it considers some ways of looking at past eventful protests as mnemonic resources and constraints for social movements. After doing that, the chapter also introduces the research design and presents the remainder of the volume.
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Henkel, Linda A., and Alison Kris. Collaborative Remembering and Reminiscence in Older Adults. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198737865.003.0008.

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This chapter explores the ways in which remembering alone or with others shapes what older adults remember and what they forget, and how such memory activities impact their mental health and well-being. Two related but largely separate bodies of research on older adults are examined, one using a primarily laboratory approach to understand how and when collaborative remembering helps or hinders memory, and the other using descriptive and correlational studies about the functions and values of reminiscing and sharing one’s personal memories with other people. We examine the use and value of reminiscence in healthy community-dwelling older adults, as well as in older adults with some degree of cognitive impairment living in long-term care nursing facilities.
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Nutt, David J., and Liam J. Nestor. The glutamate system and addiction. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198797746.003.0009.

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Glutamate is the primary excitatory neurotransmitter in the brain. Glutamate is involved in synaptic plasticity, particularly within dopamine systems of the brain that are involved in reward. Glutamate-dependent plasticity is involved in the development of substance addiction through its actions at NMDA receptors during long-term potentiation (LTP) related learning and memory processes. This plasticity within brain circuitry involved in learning and memory is sustained during substance abstinence and may provide a neural substrate for a vulnerability to addiction relapse. Medications that possess the efficacy to reduce glutamate tone in certain brain circuits may reduce craving, and ultimately, relapse in substance dependence. Further research is required, however, to show that the modulation of glutamate transmission in the brain confers clinical benefits in substance addiction.
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Burton, Derek, and Margaret Burton. Fish behaviour. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785552.003.0014.

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Behaviour involves reacting to stimuli and may be innate (colour change) or include input via cognition (learning, memory). Understanding the complex behaviour of some fish, as in interaction with conspecifics, potential prey or predators, may require consideration of neurobiology and endocrinology. Whereas fish may show behaviours associated with tetrapods (play, sleep), some of their behaviour follows a preset pattern, for example in feeding and reproduction. Communication between fish depends on cues such as colour, sound, electroception or pheromones. Long-term behaviour includes migration and territoriality, with schooling a group phenomenon. Within the brain a neuropil may indicate a region capable of memory, in fish it is abundant in the optic tectum with up to 15 laminae (layers), with some in the olfactory bulb; however, the laminated cerebral cortex of mammals is lacking. Current research includes the role of engrams in memory and the use of zebrafish as models.
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della Porta, Donatella, Massimiliano Andretta, Tiago Fernandes, Eduardo Romanos, and Markos Vogiatzoglou. Legacies and Memories in Movements. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190860936.001.0001.

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This volume addresses long-term effects of democratic transitions on social movements in Italy, Greece, Portugal, and Spain. From the theoretical point of view, the main focus of reflection is on the long-term impact of eventful moments on social movements, especially the causal mechanisms through which legacies and memories of transformative protest events are produced and reproduced over time, enhancing and constraining contemporary movements’ repertoires and frames. The paths of democratic transitions set norms and institutions that affect protests in the long term. Without taking a deterministic view, we examine the ways in which the past is revisited and read anew how stories are selected, what is resilient, and what is transformed. While research on social movements started in Europe with historical work on labor movements, the impact of historical legacies and memories on social movements has not been much theorized. More in general, while there is a growing interest in memory, there is little systematic theory or comparative research on ways in which important events have long-lasting institutional consequences and are remembered by future generations. With this volume, we address this gap by reflecting on the ways in which critical junctures, especially the ones produced through mobilization from below, affect the social movements that follow. In particular, we analyze transitions to democracy as points of departure and look at the ways in which their paths—and especially social movements’ participation in them—play a role in enhancing and constraining the movements that follow.
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Choiniere, Jacqueline, and James Struthers. Different EyesAn RN/Sociologist and an Historian Invite You on a Tour of Our Fieldnotes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190862268.003.0007.

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In this chapter a nurse/sociologist and an historian discuss how their academic backgrounds and disciplinary perspectives shaped both what they saw and what they overlooked during the process of conducting ethnographic research for this project. For both authors, doing ethnography was a new endeavor, although each had published on long-term residential care within their own disciplines. The chapter highlights how an historical gaze focused one author’s attention toward the significance of location, sense of place, cultural memory, and origin stories in writing fieldnotes on the nursing homes he visited. The nurse/sociologist concentrated on issues surrounding the gendered division of labor, health and safety, workplace accountability, and differing emphases upon social as opposed to medical care. Over time, through conversations with team members and each other, their fieldnotes increasingly incorporated shared perspectives on the significance of location, heritage, workplace practices and tensions between social and medical care.
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Ulbrich, Claudia, and Richard Wittmann, eds. Fashioning the Self in Transcultural Settings. Ergon Verlag, 2015. http://dx.doi.org/10.5771/9783956507052.

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The current volume developed out of an international workshop of the German Research Foundation's Research Group 530 on "self-narratives in a transcultural perspective" [DFG-Forschergruppe 530 "Selbstzeugnisse in transkultureller Per-spektive"] that was held at the Orient-Institut Istanbul from September 29 until October 2, 2009. The workshop formed part of a long-standing cooperation with the Orient-Institut Istanbul, where research on transcultural self-narratives con-tinues beyond the term of the research group, with the project "Istanbul Memo-ries. Personal narratives of the late Ottoman period" (www.istanbulmemories.org). The stimulating discussions at the Orient-Institut Istanbul centered around the multifaceted interplay between dress and person/personhood in written self-narratives or ego documents. By focusing on "Fashioning the Self in Transcul-tural Settings: The Uses and Significance of Dress in Self-Narratives," we hoped to supplement the existing research on self-narratives with the dimension of ma-terial culture. In the workshop light was shed on the potential of dress to shape identities, to express forms of affiliation or foreignness, as well as on vestimen-tary practices. Were clothes simply purchased to be worn, to possess, and to give away as a gift or in barter trade? During the presentations and discussions it be-came clear that new insights might be gleaned if one widens the focus in self-narratives, beyond material culture to include the consideration of other sources such as trousseau inventories or account books.
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Book chapters on the topic "Long-term memory – Research"

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Kobayashi, Kazuto, and Yasunobu Yasoshima. "Noradrenergic Control of Long-Term Memory Consolidation." In Catecholamine Research. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3538-3_84.

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Lawton, James H., Roy M. Turner, and Elise H. Turner. "A Unified Long-Term Memory System⋆." In Case-Based Reasoning Research and Development. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48508-2_14.

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Poplawski, Shane G., and Ted Abel. "The Role of Histone Acetylation in Long-Term Memory Storage." In Research and Perspectives in Neurosciences. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27913-3_7.

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Puthanveettil, Sathyanarayanan, and Eric Kandel. "Molecular Mechanisms for the Initiation and Maintenance of Long-Term Memory Storage." In Research and Perspectives in Alzheimer's Disease. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16602-0_13.

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Sowmya Lakshmi, B. S., and B. R. Shambhavi. "Bidirectional Long Short-Term Memory for Automatic English to Kannada Back-Transliteration." In Emerging Research in Computing, Information, Communication and Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5953-8_24.

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Subramanian, Rajarajeswari, Akhilesh P. Patil, Karthik Ganesan, and T. S. Akarsh. "A Semiautomated Question Paper Builder Using Long Short-Term Memory Neural Networks." In Emerging Research in Computing, Information, Communication and Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5953-8_29.

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Yin, Bin, Xiaolong Li, Lilan Liu, and Fang Wu. "Research on Fault Diagnosis Algorithm Based on Bi-directional Long Short-Term Memory." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6318-2_34.

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Qin, Qiuli, Chunxiao Yao, and Yong Jiang. "Research on Cerebrovascular Disease Prediction Model Based on the Long Short Term Memory Neural Network." In Smart Health. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34482-5_22.

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Consoli, Sergio, Luca Tiozzo Pezzoli, and Elisa Tosetti. "Information Extraction From the GDELT Database to Analyse EU Sovereign Bond Markets." In Mining Data for Financial Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66981-2_5.

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AbstractIn this contribution we provide an overview of a currently on-going project related to the development of a methodology for building economic and financial indicators capturing investor’s emotions and topics popularity which are useful to analyse the sovereign bond markets of countries in the EU.These alternative indicators are obtained from the Global Data on Events, Location, and Tone (GDELT) database, which is a real-time, open-source, large-scale repository of global human society for open research which monitors worlds broadcast, print, and web news, creating a free open platform for computing on the entire world’s media. After providing an overview of the method under development, some preliminary findings related to the use case of Italy are also given. The use case reveals initial good performance of our methodology for the forecasting of the Italian sovereign bond market using the information extracted from GDELT and a deep Long Short-Term Memory Network opportunely trained and validated with a rolling window approach to best accounting for non-linearities in the data.
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Turnure, James E. "Long-Term Memory and Mental Retardation." In International Review of Research in Mental Retardation. Elsevier, 1991. http://dx.doi.org/10.1016/s0074-7750(08)60107-x.

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Conference papers on the topic "Long-term memory – Research"

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Alamsyah, Rangga Dwi, and Suyanto Suyanto. "Speech Gender Classification Using Bidirectional Long Short Term Memory." In 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 2020. http://dx.doi.org/10.1109/isriti51436.2020.9315380.

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Toding Bunga, Muhammad Husain, and Suyanto Suyanto. "Developing a Complete Dialogue System Using Long Short-Term Memory." In 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 2019. http://dx.doi.org/10.1109/isriti48646.2019.9034567.

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Wang, Zhurong, Wei Xue, and Xinhong Hei. "Research on Parking Space Prediction Based on Long Short-Term Memory." In 2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS). IEEE, 2019. http://dx.doi.org/10.1109/icicas48597.2019.00088.

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WANG, WEI-FENG, XUE-HUAN QIU, CAI-SEN CHEN, BO LIN, and HUI-MIN ZHANG. "Application Research On Long Short-Term Memory Network In Fault Diagnosis." In 2018 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2018. http://dx.doi.org/10.1109/icmlc.2018.8527031.

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Wu, Wenfeng, Biao Liu, Wei Su, and He Lin. "Research on Braille Music Segmentation Based on Long Short- Term Memory." In 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2018. http://dx.doi.org/10.1109/fskd.2018.8687136.

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Yin, Fulian, Xiating He, Xingyi Pan, and Rongge Xu. "Research of Sentiment Analysis Based on Long-Sequence-Term-Memory Model." In 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE). IEEE, 2018. http://dx.doi.org/10.1109/icmcce.2018.00109.

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Pai, Wang, Wang Mei, Wu Fan, and Qin Xue-Bin. "Research on Attention Classification Based on Long Short-term Memory Network." In 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE). IEEE, 2020. http://dx.doi.org/10.1109/icmcce51767.2020.00253.

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Xiao, Yaoxuan, and Kang Wang. "Research on Streamflow Forecast Based on EEMD and Long Short-Term Memory." In 2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA). IEEE, 2021. http://dx.doi.org/10.1109/aiea53260.2021.00076.

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Zhang, Yuhui, and Allen Nie. "Inducing Grammar from Long Short-Term Memory Networks by Shapley Decomposition." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.acl-srw.40.

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Deng, Weiwei, Xiaoliang Ling, Yang Qi, Tunzi Tan, Eren Manavoglu, and Qi Zhang. "Ad Click Prediction in Sequence with Long Short-Term Memory Networks." In SIGIR '18: The 41st International ACM SIGIR conference on research and development in Information Retrieval. ACM, 2018. http://dx.doi.org/10.1145/3209978.3210071.

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