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Journal articles on the topic 'Semantic memory'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Munir, Aumm-e.-hani, and Wajahat Mahmood Qazi. "Artificial Subjectivity: Personal Semantic Memory Model for Cognitive Agents." Applied Sciences 12, no. 4 (2022): 1903. http://dx.doi.org/10.3390/app12041903.

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Personal semantic memory is a way of inducing subjectivity in intelligent agents. Personal semantic memory has knowledge related to personal beliefs, self-knowledge, preferences, and perspectives in humans. Modeling this cognitive feature in the intelligent agent can help them in perception, learning, reasoning, and judgments. This paper presents a methodology for the development of personal semantic memory in response to external information. The main contribution of the work is to propose and implement the computational version of personal semantic memory. The proposed model has modules for

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2

McNamara, Timothy P. "Semantic memory." Behavioral and Brain Sciences 20, no. 1 (1997): 30–31. http://dx.doi.org/10.1017/s0140525x97360014.

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Glenberg tries to explain how and why memories have semantic content. The theory succeeds in specifying the relations between two major classes of memory phenomena – explicit and implicit memory – but it may fail in its assignment of relative importance to these phenomena and in its account of meaning. The theory is syntactic and extensional, instead of semantic and intensional.

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3

Saumier, Daniel, and Howard Chertkow. "Semantic memory." Current Neurology and Neuroscience Reports 2, no. 6 (2002): 516–22. http://dx.doi.org/10.1007/s11910-002-0039-9.

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4

Hodges, John R., and Karalyn Patterson. "Semantic memory disorders." Trends in Cognitive Sciences 1, no. 2 (1997): 68–72. http://dx.doi.org/10.1016/s1364-6613(97)01022-x.

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5

Kato, Motoichiro. "Memory, amnesia and semantic memory disorder." Higher Brain Function Research 28, no. 2 (2008): 206–13. http://dx.doi.org/10.2496/hbfr.28.206.

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6

Squire, Larry R., and Stuart M. Zola. "Episodic memory, semantic memory, and amnesia." Hippocampus 8, no. 3 (1998): 205–11. http://dx.doi.org/10.1002/(sici)1098-1063(1998)8:3<205::aid-hipo3>3.0.co;2-i.

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7

Klooster, Nathaniel, Stacey Humphries, Eileen Cardillo, et al. "Sensitive Measures of Cognition in Mild Cognitive Impairment." Journal of Alzheimer's Disease 82, no. 3 (2021): 1123–36. http://dx.doi.org/10.3233/jad-201280.

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Background: Sensitive measures of cognition are needed in preclinical and prodromal Alzheimer’s disease (AD) to track cognitive change and evaluate potential interventions. Neurofibrillary tangle pathology in AD is first observed in Brodmann Area 35 (BA35), the medial portion of the perirhinal cortex. The importance of the perirhinal cortex for semantic memory may explain early impairments of semantics in preclinical AD. Additionally, our research has tied figurative language impairment to neurodegenerative disease. Objective: We aim to identify tasks that are sensitive to cognitive impairment

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Jain, Parag, and Mirella Lapata. "Memory-Based Semantic Parsing." Transactions of the Association for Computational Linguistics 9 (2021): 1197–212. http://dx.doi.org/10.1162/tacl_a_00422.

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Abstract We present a memory-based model for context- dependent semantic parsing. Previous approaches focus on enabling the decoder to copy or modify the parse from the previous utterance, assuming there is a dependency between the current and previous parses. In this work, we propose to represent contextual information using an external memory. We learn a context memory controller that manages the memory by maintaining the cumulative meaning of sequential user utterances. We evaluate our approach on three semantic parsing benchmarks. Experimental results show that our model can better process

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Brainerd, C. J., M. Chang, D. M. Bialer, and Michael P. Toglia. "Semantic ambiguity and memory." Journal of Memory and Language 121 (December 2021): 104286. http://dx.doi.org/10.1016/j.jml.2021.104286.

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10

Garrard, P., R. Perry, and J. R. Hodges. "Disorders of semantic memory." Journal of Neurology, Neurosurgery & Psychiatry 62, no. 5 (1997): 431–35. http://dx.doi.org/10.1136/jnnp.62.5.431.

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11

Condray, Ruth, Stuart R. Steinhauer, and Greg J. Siegle. "SEMANTIC MEMORY IN SCHIZOPHRENIA." Schizophrenia Research 102, no. 1-3 (2008): 110–11. http://dx.doi.org/10.1016/s0920-9964(08)70335-9.

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12

Snowden, Julie S., Helen L. Griffiths, and David Neary. "Semantic-Episodic Memory Interactions in Semantic Dementia: Implications for Retrograde Memory Function." Cognitive Neuropsychology 13, no. 8 (1996): 1101–39. http://dx.doi.org/10.1080/026432996381674.

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13

Park, Paeksoon, Hodaka Yamakado, Ryosuke Takahashi, et al. "Reduced Enhancement of Memory for Faces Encoded by Semantic and Socioemotional Processes in Patients with Parkinson’s Disease." Journal of the International Neuropsychological Society 26, no. 4 (2019): 418–29. http://dx.doi.org/10.1017/s1355617719001280.

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AbstractObjectives:Patients with Parkinson’s disease (PD) exhibit impaired semantic and socioemotional processes, which are thought to be related to dysfunctions in the fronto-striatal circuit. However, little is known about how the memory enhancement by these processes was reduced in PD. The present study investigated this issue.Methods:The retrieval performance of face memories encoded by semantic and socioemotional processes was compared between 24 PD patients and 24 age-matched healthy controls (HC). During encoding, participants were presented with unfamiliar faces and made judgment about

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14

DUMONT, CATHERINE, BERNADETTE SKA, and YVES JOANETTE. "Conceptual apraxia and semantic memory deficit in Alzheimer's disease: Two sides of the same coin?" Journal of the International Neuropsychological Society 6, no. 6 (2000): 693–703. http://dx.doi.org/10.1017/s1355617700666079.

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This study was designed to examine the patterns of apraxic disturbances and the relationships between action knowledge and other measures of semantic knowledge about objects in 10 well-characterized Alzheimer's disease (AD) patients. Five tasks were used to assess components of action knowledge (action–tool relationships, pantomime recognition, and sequential organization of action) and praxis execution (actual use, pantomiming) according to the cognitive model of praxis. Three tasks (verbal comprehension, naming, and a visual semantic matching task) were used to assess verbal–visual semantics

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15

Sartori, Giuseppe, and Luigi Lombardi. "Semantic Relevance and Semantic Disorders." Journal of Cognitive Neuroscience 16, no. 3 (2004): 439–52. http://dx.doi.org/10.1162/089892904322926773.

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Semantic features are of different importance in concept representation. The concept elephant may be more easily identified from the feature <trunk> than from the feature <four legs>. We propose a new model of semantic memory to measure the relevance of semantic features for a concept and use this model to investigate the controversial issue of category specificity. Category-specific patients have an impairment in one domain of knowledge (e.g., living), whereas the other domain (e.g., nonliving) is relatively spared. We show that categories differ in the level of relevance and that

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16

Yin, Yuan, and Peter Childs. "An EEG study to understand semantic and episodic memory retrieval in creative processes." Proceedings of the Design Society 4 (May 2024): 1147–56. http://dx.doi.org/10.1017/pds.2024.117.

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AbstractThis study aimed to identify and compare the EEG activities associated with semantic and episodic memory retrieval during creative processes. Episodic and semantic memory induction studies were conducted and EEG was used to collect data. The results showed that (i) Episodic and semantic memory retrieval are related to the frontal lobe area; (ii) Semantic memory retrieval is evoked more swiftly compared with episodic memory retrieval (ii) Prior to episodic memory retrieval, semantic memory retrieval is evoked first.

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17

Omar, Rohani, Julia C. Hailstone, and Jason D. Warren. "Semantic Memory for Music in Dementia." Music Perception 29, no. 5 (2012): 467–77. http://dx.doi.org/10.1525/mp.2012.29.5.467.

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there is currently limited information about the effects of dementia diseases on semantic memory for music: memory for musical objects and concepts. Here we review available evidence and emerging research directions in semantic memory for music in the degenerative dementias. Neurodegenerative pathologies affect distributed brain networks and can therefore provide a perspective on musical semantic memory that complements the traditional neuropsychological paradigm of the focal brain lesion. Recent work suggests that semantic memory for music may be fractionated and may share certain cognitive o

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18

Renoult, Louis, Patrick S. R. Davidson, Daniela J. Palombo, Morris Moscovitch, and Brian Levine. "Personal semantics: at the crossroads of semantic and episodic memory." Trends in Cognitive Sciences 16, no. 11 (2012): 550–58. http://dx.doi.org/10.1016/j.tics.2012.09.003.

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19

PRICE, SARAH E., GLYNDA J. KINSELLA, BEN ONG, et al. "Learning and memory in amnestic mild cognitive impairment: Contribution of working memory." Journal of the International Neuropsychological Society 16, no. 2 (2010): 342–51. http://dx.doi.org/10.1017/s1355617709991391.

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AbstractIn addition to deficits in delayed recall, recent research suggests that participants with amnestic mild cognitive impairment (aMCI) demonstrate diminished use of strategic encoding strategies during learning. Few studies have explored the cognitive mechanisms underlying this deficit. The aim of this study was to investigate in aMCI whether components of working memory (executive attention – attention set-shifting, dividing and focusing attention; and episodic buffer functions – strategic retrieval and manipulation of information) predict strategic encoding strategies during learning (

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20

Boyle, Mary. "Semantic Treatments for Word and Sentence Production Deficits in Aphasia." Seminars in Speech and Language 38, no. 01 (2017): 052–61. http://dx.doi.org/10.1055/s-0036-1597256.

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The cognitive domains of language and memory are intrinsically connected and work together during language processing. This relationship is especially apparent in the area of semantics. Several disciplines have contributed to a rich store of data about semantic organization and processing, and several semantic treatments for aphasic word and sentence production impairments have been based on these data. This article reviews the relationships between semantics and memory as they relate to word and sentence production, describes the aphasic language impairments that result from deficits in these

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21

SMITH, RYAN M., and DAVID Q. BEVERSDORF. "Effects of semantic relatedness on recall of stimuli preceding emotional oddballs." Journal of the International Neuropsychological Society 14, no. 4 (2008): 620–28. http://dx.doi.org/10.1017/s1355617708080843.

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Semantic and episodic memory networks function as highly interconnected systems, both relying on the hippocampal/medial temporal lobe complex (HC/MTL). Episodic memory encoding triggers the retrieval of semantic information, serving to incorporate contextual relationships between the newly acquired memory and existing semantic representations. While emotional material augments episodic memory encoding at the time of stimulus presentation, interactions between emotion and semantic memory that contribute to subsequent episodic recall are not well understood. Using a modified oddball task, we exa

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22

Kim, Hak Soo, Jin Hyun Son, Gi Hyun Lim, and Il Hong Suh. "Semantic Robot Memory Store using 5W1H for Service Tasks." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2010.5 (2010): 579–84. http://dx.doi.org/10.1299/jsmeicam.2010.5.579.

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23

Moss, Helen E., and Lorraine K. Tyler. "Investigating semantic memory impairments: The contribution of semantic priming." Memory 3, no. 3-4 (1995): 359–95. http://dx.doi.org/10.1080/09658219508253157.

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24

Ricci, Paul T., Benjamin J. Zelkowicz, Robert D. Nebes, Carolyn Cidis Meltzer, Mark A. Mintun, and James T. Becker. "Functional Neuroanatomy of Semantic Memory: Recognition of Semantic Associations." NeuroImage 9, no. 1 (1999): 88–96. http://dx.doi.org/10.1006/nimg.1998.0386.

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25

Rosenberg, Sheldon. "Semantic Integration in Sentence Memory." American Journal of Psychology 100, no. 2 (1987): 253. http://dx.doi.org/10.2307/1422407.

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26

Kroll, Neal E. A., and Wolfgang Klimesch. "Semantic memory: Complexity or connectivity?" Memory & Cognition 20, no. 2 (1992): 192–210. http://dx.doi.org/10.3758/bf03197168.

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27

Nebes, Robert D. "Semantic memory in Alzheimer's disease." Psychological Bulletin 106, no. 3 (1989): 377–94. http://dx.doi.org/10.1037/0033-2909.106.3.377.

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28

Kounios, John. "Process complexity in semantic memory." Journal of Experimental Psychology: Learning, Memory, and Cognition 19, no. 2 (1993): 338–51. http://dx.doi.org/10.1037/0278-7393.19.2.338.

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29

Chang, Tien Ming. "Semantic memory: Facts and models." Psychological Bulletin 99, no. 2 (1986): 199–220. http://dx.doi.org/10.1037/0033-2909.99.2.199.

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30

Silveri, Maria Caterina, and Nicoletta Ciccarelli. "Semantic memory in object use." Neuropsychologia 47, no. 12 (2009): 2634–41. http://dx.doi.org/10.1016/j.neuropsychologia.2009.05.013.

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31

Cappa, Stefano F. "Imaging studies of semantic memory." Current Opinion in Neurology 21, no. 6 (2008): 669–75. http://dx.doi.org/10.1097/wco.0b013e328316e6e0.

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32

Hills, Thomas T., Michael N. Jones, and Peter M. Todd. "Optimal foraging in semantic memory." Psychological Review 119, no. 2 (2012): 431–40. http://dx.doi.org/10.1037/a0027373.

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33

Elward, Rachael L., and Faraneh Vargha-Khadem. "Semantic memory in developmental amnesia." Neuroscience Letters 680 (July 2018): 23–30. http://dx.doi.org/10.1016/j.neulet.2018.04.040.

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34

Lebowitz, Michael. "Semantic information: Inference rules + memory." Behavioral and Brain Sciences 9, no. 1 (1986): 147–48. http://dx.doi.org/10.1017/s0140525x00021877.

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35

Binder, Jeffrey R., and Rutvik H. Desai. "The neurobiology of semantic memory." Trends in Cognitive Sciences 15, no. 11 (2011): 527–36. http://dx.doi.org/10.1016/j.tics.2011.10.001.

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36

Kraut, Michael A., Jeffery Pitcock, and John Hart. "Neural mechanisms of semantic memory." Current Neurology and Neuroscience Reports 4, no. 6 (2004): 461–65. http://dx.doi.org/10.1007/s11910-004-0069-6.

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37

McKenna, P. J., P. Bentham, P. McKay, A. M. Mortimer, C. E. Lund, and J. Hodges. "Semantic memory impairment in schizophrenia." Schizophrenia Research 6, no. 2 (1992): 156. http://dx.doi.org/10.1016/0920-9964(92)90239-2.

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38

Nisskala, H., S. Saravanan, and K. S. Ravi. "Semantic Memory Impairment in Epilepsy." International Journal of Pharmaceutical and Clinical Research 16, no. 10 (2024): 1118–22. https://doi.org/10.5281/zenodo.14077485.

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<strong>Background:</strong> Epilepsy is a common neurological disorder characterized by recurrent seizures due to abnormal neuronal electrical activity. This condition affects approximately 65 million people globally, with around 80% in developing countries. In India, the prevalence ranges from 5.59 to 10 per 1,000 people, with rural areas exhibiting higher rates than urban ones. Epilepsy’s impact on cognitive functions, including semantic memory, is significant but often underexplored. <strong>Objective:</strong> This study is aimed to assess semantic memory impairment i

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39

De Neys, Wim, Walter Schaeken, and Géry D’ydewalle. "Causal conditional reasoning and semantic memory retrieval: A test of the semantic memory framework." Memory & Cognition 30, no. 6 (2002): 908–20. http://dx.doi.org/10.3758/bf03195776.

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40

Kay, Janice, and J. Richard Hanley. "Preservation of memory for people in semantic memory disorder: Further category-specific semantic dissociation." Cognitive Neuropsychology 19, no. 2 (2002): 113–33. http://dx.doi.org/10.1080/02643290143000114.

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41

Kay, J. M. "Preservation of memory for people in semantic memory disorder: further category-specific semantic dissociation." Neurocase 8, no. 3 (2002): 184. http://dx.doi.org/10.1093/neucas/8.3.184.

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42

Muslim, Fakhrur Ridza, Mohd Amzari Tumiran, and Mohd Zahirwan Halim Zainal Abidin. "Techniques for Memorizing the Quran: A Comparative Study of the Memory System Tendencies of Maahad Integrasi Tahfiz Selangor (MITS) Students." UMRAN - International Journal of Islamic and Civilizational Studies 11, no. 2 (2024): 37–47. http://dx.doi.org/10.11113/umran2024.11n2.647.

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Memorizing the Quran typically employs memorizers’ common techniques, which also result in manners appreciation, and the development of motivation and self-inspiration in them as well. The approach is frequently utilized as a spontaneous practice when memorizing the Quran. However, the memorizing strategies used frequently change depending on the memory system’s propensity: (a) semantics; (b) episodic; and (c) visual. This study aimed to identify and compare techniques for memorizing the Quran among the students of Maahad Integrasi Tahfiz Selangor (MITS) Klang, Selangor. MITS secondary school

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43

Rahmawati. "Model’s of Memory." Jurnal Al-Fikrah 9, no. 2 (2020): 193–201. http://dx.doi.org/10.54621/jiaf.v9i2.31.

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Memory merupakan penyimpanan informasi disetiap waktu yang dapat digunakan kembali saat ini dan masa yang akan datang. Tahapan-tahapan pada memory meliputi pengodean, penyimpanan, dan pemanggilan kembali. Adanya kemampuan untuk mengingat pada manusia menunjukkan bahwa manusia mampu untuk menyimpan dan menimbulkan kembali apa yang telah pernah dialaminya. Oleh karena itu segala macam aktifitas belajar tentu melibatkan memory dan segala macam proses belajar melibatkan aspek memory. Menurut Atkinson dan Shiffrin, memori dapat dibedakan menjadi memori sensorik, memori jangka pendek (short term mem

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44

Honsey, Blair, Carlos Rodriguez, Maegan Hatfield-Eldred, and Heshan Fernando. "10 Semantic Memory as a Predictor of Future Memory Decline." Journal of the International Neuropsychological Society 29, s1 (2023): 222. http://dx.doi.org/10.1017/s1355617723003296.

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Objective:To determine if the degree of split between phonemic verbal fluency and semantic verbal fluency at initial visit is predictive of decline in memory performance between initial evaluation and follow-up.Participants and Methods:Data from a retrospective multidisciplinary memory clinic database at Spectrum Health was utilized. We examined data from 90 participants who had both an initial and follow-up evaluation completed (initial age = 77.1±4.7 years, follow-up age = 78.4±4.7 years, education = 13.9±3.1 years, race = 91% White, 7% Black, & 2% Hispanic, sex = 61% female, time betwee

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45

Folia, Vasiliki, and Susana Silva. "Tailoring Semantic Interventions for Older Adults: Task-Focused and Person-Centered Approaches." Brain Sciences 14, no. 9 (2024): 907. http://dx.doi.org/10.3390/brainsci14090907.

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In this narrative review, we explore the latest evidence on semantic interventions for older adults, including both prevention and rehabilitation/remediation efforts, discussing them particularly in the context of dementia. Cognitive interventions vary in their level of structure, encompassing standardized (task-focused tasks) and unstandardized tasks (person-centered tasks). These interventions also differ in their target: rehabilitation or prevention. Addressing semantic knowledge/semantic memory/semantics is important, primarily because its efficiency impacts other cognitive domains. Semant

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46

Noppeney, Uta. "The sensory-motor theory of semantics: Evidence from functional imaging." Language and Cognition 1, no. 2 (2009): 249–76. http://dx.doi.org/10.1515/langcog.2009.012.

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AbstractThis review discusses the contributions of functional imaging (fMRI/PET) to our understanding of how semantic concepts are represented and processed in the human brain. The sensory-motor theory of semantic memory suggests that semantic processing relies on reactivation of sensory-motor representations that were involved in perception and action. More specifically, it attributes an apparent category-specific (e.g. tool vs. animals) organization of semantics to anatomical segregation for different semantic features (e.g. action vs. visual). Within this framework, we will review functiona

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47

Kang, Kyuchang, and Changseok Bae. "Memory Model for Morphological Semantics of Visual Stimuli Using Sparse Distributed Representation." Applied Sciences 11, no. 22 (2021): 10786. http://dx.doi.org/10.3390/app112210786.

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Recent achievements on CNN (convolutional neural networks) and DNN (deep neural networks) researches provide a lot of practical applications on computer vision area. However, these approaches require construction of huge size of training data for learning process. This paper tries to find a way for continual learning which does not require prior high-cost training data construction by imitating a biological memory model. We employ SDR (sparse distributed representation) for information processing and semantic memory model, which is known as a representation model of firing patterns on neurons

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48

Delhaye, Emma, Adrien Folville, Isabelle Simoes Loureiro, Laurent Lefebvre, Eric Salmon, and Christine Bastin. "Do Alzheimer’s Disease Patients Benefit From Prior-Knowledge in Associative Recognition Memory?" Journal of the International Neuropsychological Society 25, no. 04 (2019): 443–52. http://dx.doi.org/10.1017/s1355617718001212.

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AbstractObjectives: Although the influence of prior knowledge on associative memory in healthy aging has received great attention, it has never been studied in Alzheimer’s disease (AD). This study aimed at assessing whether AD patients could benefit from prior knowledge in associative memory and whether such benefit would be related to the integrity of their semantic memory. Methods: Twenty-one AD patients and 21 healthy older adults took part in an associative memory task using semantically related and unrelated word pairs and were also submitted to an evaluation of their semantic memory. Res

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49

Piastro, Roman A., and Artem V. Barmin. "Network Modeling Methods for Semantic Memory Structure: A Theoretical Review." Общество: социология, психология, педагогика, no. 3 (March 27, 2024): 32–39. http://dx.doi.org/10.24158/spp.2024.3.3.

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The article is aimed at considering the network modeling methods for human semantic memory structure. The work provides an analytical review of existing approaches to modeling the structure of human semantic memory, as a result of which the most methodologically optimal way of modeling semantic memory is estab-lished – based on the construction and analysis of semantic networks. The authors study various methods of network modeling of semantic memory structure: verbal fluency problem, snowball problem, semantic connec-tivity problem. In addition, examples of using these methods in psychologica

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50

Berbinski, Sonia. "Mémoires du sens et (dé/re)figement." Çédille, no. 25 (2024): 69–106. http://dx.doi.org/10.25145/j.cedille.2024.25.05.

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Defining sentence meaning and utterance meaning is a difficult task for a number of reasons: the hesitant delimitation of the domain and level of analysis; the diversity of perspectives from which the problem has been approached (logical, philosophical, linguistic, scientific, etc.); the difficulty of giving semantics the status of a discipline; the immanent saturation, ignoring what is beyond the lexeme, namely how the lexeme works in discourse, etc. In this paper we propose a memorial perspective, based on pragma-semantics, showing that utterance meaning is the result of a construction based

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