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Journal articles on the topic 'Category memory'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Smith, Eliot R., and Nyla R. Branscombe. "Category accessibility as implicit memory." Journal of Experimental Social Psychology 24, no. 6 (1988): 490–504. http://dx.doi.org/10.1016/0022-1031(88)90048-0.

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2

Boynton, Robert M., Lee Fargo, Conrad X. Olson, and Harvey S. Smallman. "Category effects in color memory." Color Research & Application 14, no. 5 (1989): 229–34. http://dx.doi.org/10.1002/col.5080140505.

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3

Sargent, Jesse, Stephen Dopkins, and John Philbeck. "Dynamic category structure in spatial memory." Psychonomic Bulletin & Review 18, no. 6 (2011): 1105–12. http://dx.doi.org/10.3758/s13423-011-0139-0.

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4

Greene, Robert L., and Rebecca Lasek. "Category-order effects in memory span." Journal of Experimental Psychology: Learning, Memory, and Cognition 20, no. 6 (1994): 1391–95. http://dx.doi.org/10.1037/0278-7393.20.6.1391.

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5

Ashby, F. Gregory, and Jeffrey B. O'Brien. "Category learning and multiple memory systems." Trends in Cognitive Sciences 9, no. 2 (2005): 83–89. http://dx.doi.org/10.1016/j.tics.2004.12.003.

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6

Nesdale, A. R., and S. Dharmalingam. "Category Salience, Stereotyping And Person Memory." Australian Journal of Psychology 38, no. 2 (1986): 145–51. http://dx.doi.org/10.1080/00049538608256425.

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7

Reber, Paul J., Craig E. L. Stark, and Larry R. Squire. "Contrasting Cortical Activity Associated with Category Memory and Recognition Memory." Learning & Memory 5, no. 6 (1998): 420–28. http://dx.doi.org/10.1101/lm.5.6.420.

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We collected functional neuroimaging data while volunteers performed similar categorization and recognition memory tasks. In the categorization task, volunteers first studied a series of 40 dot patterns that were distortions of a nonstudied prototype dot pattern. After a delay, while fMRI data were collected, they categorized 72 novel dot patterns according to whether or not they belonged to the previously studied category. In the recognition task, volunteers first studied five dot patterns eight times each. After a delay, while fMRI data were collected, they judged whether each of 72 dot patt

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8

Grossman, Murray, Phyllis Koenig, John Kounios, Corey McMillan, Melissa Work, and Peachie Moore. "Category-specific effects in semantic memory: Category–task interactions suggested by fMRI." NeuroImage 30, no. 3 (2006): 1003–9. http://dx.doi.org/10.1016/j.neuroimage.2005.10.046.

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9

Wattenmaker, William D. "Relational properties and memory-based category construction." Journal of Experimental Psychology: Learning, Memory, and Cognition 18, no. 5 (1992): 1125–38. http://dx.doi.org/10.1037/0278-7393.18.5.1125.

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10

Poldrack, Russell A., and Karin Foerde. "Category learning and the memory systems debate." Neuroscience & Biobehavioral Reviews 32, no. 2 (2008): 197–205. http://dx.doi.org/10.1016/j.neubiorev.2007.07.007.

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11

Kirnosov, Ivan D. "Historical memory as a category of constitutional law." Izvestiya of Saratov University. Economics. Management. Law 24, no. 1 (2024): 99–106. http://dx.doi.org/10.18500/1994-2540-2024-24-1-99-106.

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Introduction. Historical memory is an integral part of national identity and defines the core values and principles of life in society. Legal norms in the text of the Constitution of Russia that consolidate the concept of historical development of the Russian state and establish new obligations of the state to honor the memory of defenders of the Fatherland, to ensure the protection of historical truth and to prevent belittling the significance of the people’s feat in defense of the Fatherland allow us to talk about the formation of a new category in the constitutional law – the category of hi

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12

Diener, Don. "Effects of same-category and different-category extraneous memory sets on item recognition." Memory & Cognition 22, no. 5 (1994): 575–83. http://dx.doi.org/10.3758/bf03198396.

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13

K. Morgan, Kyle, Dagmar Zeithamova, Phan Luu, and Don Tucker. "Spatiotemporal Dynamics of Multiple Memory Systems During Category Learning." Brain Sciences 10, no. 4 (2020): 224. http://dx.doi.org/10.3390/brainsci10040224.

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The brain utilizes distinct neural mechanisms that ease the transition through different stages of learning. Furthermore, evidence from category learning has shown that dissociable memory systems are engaged, depending on the structure of a task. This can even hold true for tasks that are very similar to each other, which complicates the process of classifying brain activity as relating to changes that are associated with learning or reflecting the engagement of a memory system suited for the task. The primary goals of these studies were to characterize the mechanisms that are associated with

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14

Tandoc, Marlie C., Cody V. Dong, and Anna C. Schapiro. "Object Feature Memory Is Distorted by Category Structure." Open Mind 8 (2024): 1348–68. https://doi.org/10.1162/opmi_a_00170.

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Abstract Memory systems constantly confront the challenge of capturing both the shared features that connect experiences together and the unique features that distinguish them. Across two experiments, we leveraged a color memory distortion paradigm to investigate how we handle this representational tension when learning new information. Over a thirty-minute period, participants learned shared and unique features of categories of novel objects, where each feature was assigned a particular color. While participants did not differ in how accurately they remembered these features overall, when ina

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15

Kole, J. A., A. F. Healy, D. M. Fierman, and L. E. Bourne. "Contextual memory and skill transfer in category search." Memory & Cognition 38, no. 1 (2009): 67–82. http://dx.doi.org/10.3758/mc.38.1.67.

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16

Palmeri, Thomas J., and Robert M. Nosofsky. "Recognition memory for exceptions to the category rule." Journal of Experimental Psychology: Learning, Memory, and Cognition 21, no. 3 (1995): 548–68. http://dx.doi.org/10.1037/0278-7393.21.3.548.

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17

Farah, M. J. "Category-specificity and modality-specificity in semantic memory." Neurocase 4, no. 4 (1998): 399o—427. http://dx.doi.org/10.1093/neucas/4.4.399-o.

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18

Estes, W. K. "Memory storage and retrieval processes in category learning." Journal of Experimental Psychology: General 115, no. 2 (1986): 155–74. http://dx.doi.org/10.1037/0096-3445.115.2.155.

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19

Sakamoto, Yasuaki, and Bradley C. Love. "Schematic Influences on Category Learning and Recognition Memory." Journal of Experimental Psychology: General 133, no. 4 (2004): 534–53. http://dx.doi.org/10.1037/0096-3445.133.4.534.

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20

Kéri, Szabolcs. "Interactive memory systems and category learning in schizophrenia." Neuroscience & Biobehavioral Reviews 32, no. 2 (2008): 206–18. http://dx.doi.org/10.1016/j.neubiorev.2007.07.003.

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21

Merriman, Jennifer, Carolyn Rovee-Collier, and Amy Wilk. "Exemplar spacing and infants' memory for category information." Infant Behavior and Development 20, no. 2 (1997): 219–32. http://dx.doi.org/10.1016/s0163-6383(97)90024-2.

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22

Giganti, Fiorenza, and Maria Pia Viggiano. "How semantic category modulates preschool children’s visual memory." Child Neuropsychology 21, no. 6 (2014): 849–55. http://dx.doi.org/10.1080/09297049.2014.945406.

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23

Farah, Martha J., Katherine M. Hammond, Ziyah Mehta, and Graham Ratcliff. "Category-specificity and modality-specificity in semantic memory." Neuropsychologia 27, no. 2 (1989): 193–200. http://dx.doi.org/10.1016/0028-3932(89)90171-1.

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24

Мячин, Константин Александрович. "VARIABLE-INVARIANT COMPOSITION AND TYPICAL PROPERTIES OF THE CONCEPT MEMORY AS STRUCTURAL COMPONENT OF THE CONCEPTUAL CATEGORY." Tomsk state pedagogical university bulletin, no. 5(211) (September 7, 2020): 103–13. http://dx.doi.org/10.23951/1609-624x-2020-5-103-113.

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Введение. Представлено лингвистическое исследование типовых свойств концепта memory и концептуальной категории memory. Устанавливается их терминологическое отношение. Приводится описание моделирования типового состава концепта memory в границах анализируемой категории. Цель исследования состоит в описании, моделировании и анализе авторского сознания в комплексе концептов, концептуальных категорий и смыслов, его репрезентирующих. В задачи исследования входит выявление состава содержания и типовых свойств концепта memory как компонента концептуальной категории memory. Материал и методы. Материал

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25

Thioux, Marc, Eva Turconi, Emanuelle Palmers, and Xavier Seron. "About numbers as a semantic category." Behavioral and Brain Sciences 24, no. 3 (2001): 494–95. http://dx.doi.org/10.1017/s0140525x01394153.

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Humphreys & Forde concentrate on the living/nonliving dissociation. However, further dissociations have been reported, including selective loss or preservation in recognizing body parts and numbers. This commentary outlines the relevance of the number category for understanding the organising principles of semantic memory.

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26

Wu, Jie, Jianghong Lu, Zixuan Che, and Siying Li. "The Effect of Concurrent Auditory Working Memory Task in Auditory Category Learning." Behavioral Sciences 15, no. 4 (2025): 440. https://doi.org/10.3390/bs15040440.

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In the auditory domain, the role of auditory working memory in shaping strategy selection and performance within both auditory rule-based and information-integration tasks remains unclear. To address this issue, the present study utilized a concurrent auditory working memory paradigm to investigate the impact of working memory on rule-based and information-integration category learning within the auditory domain. Additionally, we employed a categorization strategy model and drift-diffusion model to examine the impact of auditory working memory on auditory category learning. The categorization

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27

McCarthy, R. A. "Topographic amnesia: spatial memory disorder, perceptual dysfunction, or category specific semantic memory impairment?" Neurocase 2, no. 6 (1996): 521v—540. http://dx.doi.org/10.1093/neucas/2.6.521-v.

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28

McCarthy, R. A., J. J. Evans, and J. R. Hodges. "Topographic amnesia: spatial memory disorder, perceptual dysfunction, or category specific semantic memory impairment?" Journal of Neurology, Neurosurgery & Psychiatry 60, no. 3 (1996): 318–25. http://dx.doi.org/10.1136/jnnp.60.3.318.

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29

GOLD, DAVID, MARIO BEAUREGARD, ANDRE ROCH LECOURS, and HOWARD CHERTKOW. "Semantic category differences in cross-form priming." Journal of the International Neuropsychological Society 9, no. 5 (2003): 796–805. http://dx.doi.org/10.1017/s1355617703950120.

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Findings of category-specific impairments have suggested that human semantic memory may be organized around a living/nonliving dichotomy. In order to assess implicit memory performance for living and nonliving concepts, one group of neurologically intact individuals participated in a cross-form conceptual priming paradigm. In Block 1, pictures primed words while in Block 2 words were used to prime pictures. Across all phases of the experiment, subjects decided whether items represented something which was living or nonliving, and response times were recorded. Results revealed greater priming f

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30

Fernando Candra Yulianto and Noor Latifah. "Peramalan Penjualan Laptop Menggunakan Metode Long Short Term Memory (LSTM)." JURNAL FASILKOM 14, no. 2 (2024): 428–36. https://doi.org/10.37859/jf.v14i2.7337.

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Industri penjualan laptop tidak hanya dipengaruhi oleh kemajuan teknologi, tetapi juga dipengaruhi oleh perubahan cepat dalam prefernsi konsumen dan perubahan kondisi ekonomi seseorang. Permintaan laptop dari konsumen bervariasi secara signifikan dari waktu ke waktu, yang dipengaruhi oleh beberapa faktor seperti kualitas produk, harga produk, citra merek, dan kecepatan peluncuran model baru. Ketidakstabilan faktor tersebut membuat penjual laptop mengalami kesulitan dalam melakukan restock barang di tokonya, dari beberapa kasus yang ada penjual laptop sering mengalami overstock ataupun stockout

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31

Buschke, Herman, Martin Sliwinski, Gail Kuslansky, and Richard B. Lipton. "Aging, encoding specificity, and memory change in the Double Memory Test." Journal of the International Neuropsychological Society 1, no. 5 (1995): 483–93. http://dx.doi.org/10.1017/s1355617700000576.

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AbstractAged and young adults were tested by category cued recall after learning with category cues (CCR) or with item cues (ICR). CCR was about twice ICR for both aged and young adults. The aged recalled less than the young and did not benefit as much from greater encoding specificity and deeper processing in CCR. ICR and CCR were correlated, so that expected CCR can be predicted from ICR. The regression of CCR on ICR was linear for young adults, but was piecewise linear for the aged, showing that the relationship between ICR and CCR was not uniform for the aged adults. Lower than expected CC

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32

Loftus, Elizabeth F. "Memory, but Not Memory." Proceedings of the American Philosophical Society 165, no. 1 (2024): 26–31. https://doi.org/10.1353/pro.2024.a946780.

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Abstract: Based on a presentation at the American Philosophical Society's Member Meeting in April 2021, this brief essay tackles the subject of memory and the ways it can be unreliable. The author shares some of her research into how easily memories can be altered, especially by leading questions and misinformation that changes peoples' perceptions of past events even when they are sincerely trying to tell the truth and relate those events accurately. This includes the category of false memories, which can be richly detailed and felt despite being "memories" of events that never happened. The

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33

KÉRI, S., O. KELEMEN, G. SZEKERES, et al. "Schizophrenics know more than they can tell: probabilistic classification learning in schizophrenia." Psychological Medicine 30, no. 1 (2000): 149–55. http://dx.doi.org/10.1017/s0033291799001403.

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Background. Previous studies have demonstrated impaired explicit and preserved implicit memory functions in schizophrenia. However, it is less clear whether schizophrenics can learn complex information (e.g. probabilistic stimulus–response associations) with or without access for conscious recollection. In this study we applied a classification learning task to assess explicit and implicit processes concurrently.Methods. Two test procedures were administered to 40 schizophrenic subjects and 20 healthy volunteers: a probabilistic classification learning (PCL) task to evaluate implicit memory fu

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34

Schultz, Heidrun, Jungsun Yoo, Dar Meshi, and Hauke R. Heekeren. "Category-specific memory encoding in the medial temporal lobe and beyond: the role of reward." Learning & Memory 29, no. 10 (2022): 379–89. http://dx.doi.org/10.1101/lm.053558.121.

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The medial temporal lobe (MTL), including the hippocampus (HC), perirhinal cortex (PRC), and parahippocampal cortex (PHC), is central to memory formation. Reward enhances memory through interplay between the HC and substantia nigra/ventral tegmental area (SNVTA). While the SNVTA also innervates the MTL cortex and amygdala (AMY), their role in reward-enhanced memory is unclear. Prior research suggests category specificity in the MTL cortex, with the PRC and PHC processing object and scene memory, respectively. It is unknown, however, whether reward modulates category-specific memory processes.

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35

Ryan, Lee, Christine Cox, Scott M. Hayes, and Lynn Nadel. "Hippocampal activation during episodic and semantic memory retrieval: Comparing category production and category cued recall." Neuropsychologia 46, no. 8 (2008): 2109–21. http://dx.doi.org/10.1016/j.neuropsychologia.2008.02.030.

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36

Hahn, Ulrike, Todd M. Bailey, and Lucy B. C. Elvin. "Effects of category diversity on learning, memory, and generalization." Memory & Cognition 33, no. 2 (2005): 289–302. http://dx.doi.org/10.3758/bf03195318.

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37

Finley, Gordon E., and Maria Delgado-Hachey. "Category Breadth and Memory in Younger and Older Adults." Journal of Genetic Psychology 150, no. 1 (1989): 119–20. http://dx.doi.org/10.1080/00221325.1989.9914583.

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38

Lukavsky, Jiri, and Filip Dechterenko. "The effect of scene category distinctiveness on memory performance." Journal of Vision 15, no. 12 (2015): 357. http://dx.doi.org/10.1167/15.12.357.

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39

Lippman, Louis G., and Serene Lim. "Effects of Category Sequencing in Short-Term-Memory Tasks." Journal of General Psychology 114, no. 1 (1987): 89–99. http://dx.doi.org/10.1080/00221309.1987.9711058.

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40

Polyn, S. M. "Category-Specific Cortical Activity Precedes Retrieval During Memory Search." Science 310, no. 5756 (2005): 1963–66. http://dx.doi.org/10.1126/science.1117645.

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41

Barsalou, Lawrence W. "Are there static category representations in long-term memory?" Behavioral and Brain Sciences 9, no. 4 (1986): 651–52. http://dx.doi.org/10.1017/s0140525x00051591.

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42

Tippett, Lynette J., Murray Grossman, and Martha J. Farah. "The Semantic Memory Impairment of Alzheimer's Disease: Category-Specific?" Cortex 32, no. 1 (1996): 143–53. http://dx.doi.org/10.1016/s0010-9452(96)80023-2.

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43

Srinivas, Kavitha, and Henry L. Roediger. "Classifying implicit memory tests: Category association and anagram solution." Journal of Memory and Language 29, no. 4 (1990): 389–412. http://dx.doi.org/10.1016/0749-596x(90)90063-6.

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44

Smith, Eliot R. "Category accessibility effects in a simulated exemplar-based memory." Journal of Experimental Social Psychology 24, no. 5 (1988): 448–63. http://dx.doi.org/10.1016/0022-1031(88)90030-3.

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45

Vlach, Haley A., Catherine M. Sandhofer, and Nate Kornell. "The spacing effect in children’s memory and category induction." Cognition 109, no. 1 (2008): 163–67. http://dx.doi.org/10.1016/j.cognition.2008.07.013.

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46

Schwarb, Hillary, Michael Dulas, and Neal Cohen. "The influence of categorical stimuli on relational memory binding." Learning & Memory 31, no. 10-11 (2024): a054006. http://dx.doi.org/10.1101/lm.054006.124.

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Binding of arbitrary information into distinct memory representations that can be used to guide behavior is a hallmark of relational memory. What is and is not bound into a memory representation and how those things influence the organization of that representation remain topics of interest. While some information is intentionally and effortfully bound—often the information that is consistent with task goals or expectations about what information may be required later—other information appears to be bound automatically. The present set of experiments sought to investigate whether spatial memor

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47

Rakhipova, S., D. Toimataev, and G. Abdigalieva. "Analysis of the Category “Cultural Heritage”." Adam alemi 4, no. 86 (2020): 136–44. http://dx.doi.org/10.48010/2020.4/1999-5849.15.

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The article examines the problems of cultural heritage, which occupies a special place in the Kazakh worldview, the historical and philosophical analysis of this topic is a requirement of modern science. This is determined by spiritual, social, political and ideological factors. By cultural heritage, we mean spiritual values such as cultural traditions, stable standards of perception and behavior, moral norms, stereotypes of thinking, political, legal and philosophical ideas, aesthetic concepts. It is these traditions that constitute the historical roots of the modern life of the people and re

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48

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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49

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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50

Anufrieva, Anastasia, Frol Sapronov, Anton Angelgardt, and Elena Gorbunova. "Neurophysiological Correlates of the Visual Search Process: Does Categorization Matter?" Психология. Журнал Высшей школы экономики 21, no. 4 (2024): 634–54. https://doi.org/10.17323/1813-8918-2024-4-634-654.

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There are a number of mechanisms for optimising information storage and processing in the cognitive system. Thus, in working memory, such optimisation is carried out, among other things, through the process of categorisation – grouping objects into categories. In its turn, a category has a number of levels, which determine the specificity and distinctness of the formed representation: subordinant, basic and superordinant. It is suggested that there is a categoricality effect: category levels influence the degree of working memory load and visual search efficiency. A particular example of a cat

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