Zeitschriftenartikel: „Short-term memory“

1

Gantner, Benjamin N., und Harinder Singh. „Short-term memory“. Nature 447, Nr. 7147 (Juni 2007): 916–17. http://dx.doi.org/10.1038/447916a.

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2

Visscher, Kristina M., Elina Kaplan, Michael J. Kahana und Robert Sekuler. „Auditory Short-Term Memory Behaves Like Visual Short-Term Memory“. PLoS Biology 5, Nr. 3 (20.02.2007): e56. http://dx.doi.org/10.1371/journal.pbio.0050056.

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3

Swanson, H. Lee. „Short-Term Memory and Working Memory“. Journal of Learning Disabilities 27, Nr. 1 (Januar 1994): 34–50. http://dx.doi.org/10.1177/002221949402700107.

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4

Luck, Steven. „Visual short term memory“. Scholarpedia 2, Nr. 6 (2007): 3328. http://dx.doi.org/10.4249/scholarpedia.3328.

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5

Potter, Mary. „Conceptual short term memory“. Scholarpedia 5, Nr. 2 (2010): 3334. http://dx.doi.org/10.4249/scholarpedia.3334.

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6

Hochreiter, Sepp, und Jürgen Schmidhuber. „Long Short-Term Memory“. Neural Computation 9, Nr. 8 (01.11.1997): 1735–80. http://dx.doi.org/10.1162/neco.1997.9.8.1735.

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Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient based method called long short-term memory (LSTM). Truncating the gradient where this does not do harm, LSTM can learn to bridge minimal time lags in excess of 1000 discrete-time steps by enforcing constant error flow through constant error carousels within special units. Multiplicative gate units learn to open and close access to the constant error flow. LSTM is local in space and time; its computational complexity per time step and weight is O. 1. Our experiments with artificial data involve local, distributed, real-valued, and noisy pattern representations. In comparisons with real-time recurrent learning, back propagation through time, recurrent cascade correlation, Elman nets, and neural sequence chunking, LSTM leads to many more successful runs, and learns much faster. LSTM also solves complex, artificial long-time-lag tasks that have never been solved by previous recurrent network algorithms.

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7

Schweickert, Richard. „Short-Term Memory; Long-Term Goals“. Contemporary Psychology: A Journal of Reviews 32, Nr. 11 (November 1987): 940–42. http://dx.doi.org/10.1037/026488.

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8

Kail, Robert, und Lynda K. Hall. „Distinguishing short-term memory from working memory“. Memory & Cognition 29, Nr. 1 (Januar 2001): 1–9. http://dx.doi.org/10.3758/bf03195735.

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9

Safitri, Eni, Rizki Yulia Purwitaningtyas und Firdawsyi Nuzula. „Pengaruh Warna terhadap Short Term Memory pada Remaja“. Jurnal Ilmiah Kesehatan Rustida 10, Nr. 1 (19.01.2023): 29–36. http://dx.doi.org/10.55500/jikr.v10i1.180.

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Memori merupakan tempat penyimpanan informasi, sedangkan memori jangka pendek merupakan tempat penyimpanan informasi selama 20-30 detik saja didalam memori. Warna memiliki efek positif pada psikologis remaja. Salah satunya pada retensi memori. Tujuan dari penelitian ini yakni untuk mengetahui Pengaruh Warna pada memori jangka pendek pada siswa MTsN 11 Jember. Penelitian ini menggunakan metode pra-eksperimental dengan rancangan pre test dan post tes only. Sampel pada penelitia ini menggunakan purposive sampling sebanyak 120 sampel. Instrument penelitian ini menggunakan tes buta warna Ishihara dan tes ME. Variabel bebas pada penelitian ini Short Term Memory pada remaja, sedangkan variabel terikatnya yaitu pengaruh warna. Survei dilakukan pada Bulan Juli di MTsN 11 Jember Dusun Pasar Alas Garahan Silo Jember. Uji analisis yang digunakan uji paired T-tes. Hasil uji statistik dengan menggunakan Paired Sample T-Test, terdapat nilai p = 0,000. Karena nilai p= 0,000 < 0,05 sehingga dapat disimpulkan ada pengaruh warna terhadap Short Term Memory. Pegaruh memori jangka pendek pada masa remaja disebabkan karena respon psikologis yang positif terhadap warna yang mengarah pada retensi memori permanen. Penggunaan warna dapat dijadikan acuan bagi psikologis remaja untuk penyimpanan informasi kedalam memori.

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10

Norris, Dennis. „Short-term memory and long-term memory are still different.“ Psychological Bulletin 143, Nr. 9 (September 2017): 992–1009. http://dx.doi.org/10.1037/bul0000108.

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11

Potter, Mary C. „Very short-term conceptual memory“. Memory & Cognition 21, Nr. 2 (März 1993): 156–61. http://dx.doi.org/10.3758/bf03202727.

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12

Chapanis, Alphonse, und John V. Moulden. „Short-Term Memory for Numbers“. Human Factors: The Journal of the Human Factors and Ergonomics Society 32, Nr. 2 (April 1990): 123–37. http://dx.doi.org/10.1177/001872089003200201.

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13

Thompson, P., R. Stone und E. Walton. „Short-Term Memory for Speed“. Perception 25, Nr. 1_suppl (August 1996): 156. http://dx.doi.org/10.1068/v96l0808.

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We have measured the retention of information about stimulus speed in visual short-term memory by measuring speed discrimination in a two-interval forced-choice task. We have also measured such discrimination in conditions where a ‘memory masker’ is presented during the interstimulus interval (ISI) in a fashion analogous to the experiment of Magnussen et al (1991 Vision Research31 1213 – 1219). Magnussen et al found that spatial frequency discrimination was disrupted when the mask had a spatial frequency that differed from the test spatial frequency by an octave or more. We have investigated the speed discrimination of 8 Hz, 1 cycle deg−1 drifting sine-wave gratings with the following drifting masks presented in the ISI: (i) 8 Hz 1 cycle deg−1, same direction as the test; (ii) 8 Hz, 8 cycles deg−1, opposite direction to the test; (iii) 8 Hz, 8 cycles deg−1, same direction as the test; (iv) 24 Hz, 3 cycles deg−1, same direction as the test. These masks were chosen to investigate whether the temporal frequency, the spatial frequency, the speed, or the direction of motion of the mask affected retention. We found that in none of these conditions was the discrimination of the test gratings impaired significantly. This pattern of results is therefore different from that found with spatial frequency discrimination and suggests that, whatever mechanism is responsible for the retention of information about speed, it is different from that responsible for the retention of information about spatial frequency.

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14

Fiore, Felicia, Cesare Cornoldi, Rossana De Beni, Valentina D'Urso, Dag-Erik Eilertsen und Svein Magnussen. „Short-term memory for flavour“. Journal of Cognitive Psychology 24, Nr. 2 (März 2012): 134–39. http://dx.doi.org/10.1080/20445911.2011.598854.

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15

Miles, Christopher. „Tactile Short-term Memory Revisited“. Memory 4, Nr. 6 (November 1996): 655–68. http://dx.doi.org/10.1080/741940995.

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16

Argyriou, Anastasia, Helmut Prast und Athineos Philippu. „Melatonin facilitates short-term memory“. European Journal of Pharmacology 349, Nr. 2-3 (Mai 1998): 159–62. http://dx.doi.org/10.1016/s0014-2999(98)00300-8.

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17

Izquierdo, I. „SHORT- AND LONG-TERM MEMORY“. Behavioural Pharmacology 9, Nr. 1 (August 1998): S46. http://dx.doi.org/10.1097/00008877-199808000-00094.

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18

Izquierdo, I. „SHORT- AND LONG-TERM MEMORY“. Behavioural Pharmacology 9, Supplement (August 1998): S46. http://dx.doi.org/10.1097/00008877-199808001-00094.

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19

Izquierdo, I. „SHORT- AND LONG-TERM MEMORY“. Behavioural Pharmacology 9, Nr. 1 (August 1998): S46. http://dx.doi.org/10.1097/00008877-199812001-00094.

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20

Minton, Kirsty. „Short- and long-term memory“. Nature Reviews Immunology 11, Nr. 3 (25.02.2011): 161. http://dx.doi.org/10.1038/nri2951.

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21

Jones, Gary, Lucy V. Justice, Francesco Cabiddu, Bethany J. Lee, Lai-Sang Iao, Natalie Harrison und Bill Macken. „Does short-term memory develop?“ Cognition 198 (Mai 2020): 104200. http://dx.doi.org/10.1016/j.cognition.2020.104200.

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22

Tsutsui, Yuji, Kayo Nishizawa und Saori Fukushi. „In the rat, auditory short-term memory is better than visual short-term memory“. Neuroscience Research 58 (Januar 2007): S226. http://dx.doi.org/10.1016/j.neures.2007.06.497.

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23

Majerus, Steve, und Arnaud D’Argembeau. „Verbal short-term memory reflects the organization of long-term memory: Further evidence from short-term memory for emotional words“. Journal of Memory and Language 64, Nr. 2 (Februar 2011): 181–97. http://dx.doi.org/10.1016/j.jml.2010.10.003.

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24

Coane, Jennifer H., Dawn M. McBride, Bascom A. Raulerson III und J. Scott Jordan. „False Memory in a Short-Term Memory Task“. Experimental Psychology 54, Nr. 1 (Januar 2007): 62–70. http://dx.doi.org/10.1027/1618-3169.54.1.62.

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The Deese/Roediger-McDermott (DRM; Roediger & McDermott, 1995 ) paradigm reliably elicits false memories for critical nonpresented words in recognition tasks. The present studies used a Sternberg (1966) task with DRM lists to determine whether false memories occur in short-term memory tasks and to assess the contribution of latency data in the measurement of false memories. Subjects studied three, five, or seven items from DRM lists and responded to a single probe (studied or nonstudied). In both experiments, critical lures were falsely recognized more often than nonpresented weak associates. Latency data indicated that correct rejections of critical lures were slower than correct rejections of weakly related items at all set sizes. False alarms to critical lures were slower than hits to list items. Latency data can distinguish veridical and false memories in a short-term memory task. Results are discussed in terms of activation-monitoring models of false memory.

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25

Swanson, H. Lee, Xinhua Zheng und Olga Jerman. „Working Memory, Short-Term Memory, and Reading Disabilities“. Journal of Learning Disabilities 42, Nr. 3 (02.03.2009): 260–87. http://dx.doi.org/10.1177/0022219409331958.

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26

Gozzi, Marta, und Costanza Papagno. „Is short-term memory involved in decision making? Evidence from a short-term memory patient“. Journal of Neuropsychology 1, Nr. 1 (März 2007): 115–29. http://dx.doi.org/10.1348/174866407x180855.

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27

Wong, C. W. „Two circuits to convert short-term memory into long-term memory“. Medical Hypotheses 49, Nr. 5 (November 1997): 375–78. http://dx.doi.org/10.1016/s0306-9877(97)90082-7.

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28

Stuart, George, und Charles Hulme. „The effects of word co-occurance on short-term memory: Associative links in long-term memory affect short-term memory performance.“ Journal of Experimental Psychology: Learning, Memory, and Cognition 26, Nr. 3 (2000): 796–802. http://dx.doi.org/10.1037/0278-7393.26.3.796.

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29

Xiang Xu, Xiang Xu, 李儀 Xiang Xu und Yi-Fan Wang Yi Li. „Particle Swarm Optimization with Long and Short Term Memory in Feature Selection“. 電腦學刊 33, Nr. 5 (Oktober 2022): 121–33. http://dx.doi.org/10.53106/199115992022103305011.

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<p>Taking each iteration of Particle swarm optimization (PSO) algorithm as a time node, the change of population in PSO algorithm can be regarded as a time series model. Particle population learns and evolves in multiple time nodes, which can be regarded as a dependent behavior on leader particles. In the traditional particle swarm optimization algorithm, this dependence behavior is independent of time, and its consideration standard is only the fitness value of particles. We deeply study the leadership mechanism of PSO algorithm in order to find a more robust leadership mechanism and improve the ability of PSO algorithm to explore the solution space, by extending the dependence behavior in the time dimension, we propose an improved PSO algorithm with long-term and short-term memory ability. In order to verify its performance, in the experimental part, we select 32 public data sets in UCI data to find the optimal feature subset. In a large number of feature selection experiments. The experimental results proofed that the performance of proposed algorithms is better than some state of the art algorithms. </p> <p> </p>

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30

Wagle, Aumkar. „Deep Learning for Financial Time Series using Long Short-Term Memory Model“. International Journal of Science and Research (IJSR) 13, Nr. 4 (05.04.2024): 1944–72. http://dx.doi.org/10.21275/sr24418141736.

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31

Stevanovski, Biljana, und Pierre Jolicœur. „Visual short-term memory: Central capacity limitations in short-term consolidation“. Visual Cognition 15, Nr. 5 (Juli 2007): 532–63. http://dx.doi.org/10.1080/13506280600871917.

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32

Nittono, Hiroshi. „Personality Needs and Short-Term Memory“. Psychological Reports 81, Nr. 1 (August 1997): 19–24. http://dx.doi.org/10.2466/pr0.1997.81.1.19.

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This study examined a possible relationship between personality needs and short-term memory. 102 Japanese college students were administered a Japanese version of the Edwards Personal Preference Schedule and performed 3 verbal short-term memory tests. No reliable correlations were found between memory performance and the scores on the 15 scales of Edwards' schedule. In contrast, course examination scores in introductory psychology were statistically significantly correlated with some scale scores. These results suggested that motivational personality traits would not be related to short-term memory performance, although they were associated with academic achievement.

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33

Zdravkova, Vaska. „VERBAL SHORT-TERM IMPAIRMENT IN DYSLEXIA“. KNOWLEDGE - International Journal 55, Nr. 5 (16.12.2022): 951–54. http://dx.doi.org/10.35120/kij5505951v.

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Verbal short-term memory impairment is one of the most consistently associated deficits observed indevelopmental reading disorders such as dyslexia. The mechanisms involved in the short-term retention ofinformation for serial tasks may be shared across domains of short-term memory, such as verbal and visuospatialshort-term memory. Few studies have addressed the nature of verbal short-term impairment, particularly with regardto the possibility of temporary serial storage of information. A short-term memory serial order impairment appearsto occur for the retention of verbal and visuospatial sequence information. Impairment in the serial ordering of shorttermmemory is not a characteristic of every individual dyslexic subject and is not specific to dyslexia. Futurestudies should determine whether verbal short-term serial order memory impairment is a risk factor that, inassociation with a deficit in phonological processing, may lead to dyslexia or whether verbal short-term serial ordermemory impairment reflects related deficits unrelated to dyslexia. The purpose of this article is to consider theimplications for dyslexia of one aspect of short-term memory, memory for serialization

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34

Labusov, M. V. „SHORT-TERM FINANCIAL TIME SERIES ANALYSIS WITH LONG SHORT-TERM MEMORY NEURAL NETWORKS“. EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 3, Nr. 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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35

Crowder, Robert G., Giuseppe Vallar und Tim Shallice. „Neuropsychological Impairments of Short-Term Memory“. American Journal of Psychology 105, Nr. 1 (1992): 136. http://dx.doi.org/10.2307/1422988.

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36

Cowan, Nelson. „Activation, attention, and short-term memory“. Memory & Cognition 21, Nr. 2 (März 1993): 162–67. http://dx.doi.org/10.3758/bf03202728.

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37

Shiffrin, Richard M. „Short-term memory: A brief commentary“. Memory & Cognition 21, Nr. 2 (März 1993): 193–97. http://dx.doi.org/10.3758/bf03202732.

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38

Norris, Dennis G., Jane Hall und Susan E. Gathercole. „Can short-term memory be trained?“ Memory & Cognition 47, Nr. 5 (27.02.2019): 1012–23. http://dx.doi.org/10.3758/s13421-019-00901-z.

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39

Isnec, M. R., P. A. Couvillon und M. E. Bitterman. „Short-term spatial memory in honeybees“. Animal Learning & Behavior 25, Nr. 2 (Juni 1997): 165–70. http://dx.doi.org/10.3758/bf03199054.

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40

Helland, Turid. „Dyslexia, laterality and short term memory“. Scandinavian Journal of Logopedics and Phoniatrics 20, Nr. 4 (Januar 1995): 157–64. http://dx.doi.org/10.3109/14015439509098743.

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41

Postle, Bradley R. „Context in verbal short-term memory“. Memory & Cognition 31, Nr. 8 (Dezember 2003): 1198–207. http://dx.doi.org/10.3758/bf03195803.

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42

Killeen, Peter R. „Writing and overwriting short-term memory“. Psychonomic Bulletin & Review 8, Nr. 1 (März 2001): 18–43. http://dx.doi.org/10.3758/bf03196137.

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43

Siddle, David A. T., und Biza Stenfert Kroese. „Orienting, Habituation, and Short-Term Memory“. Psychophysiology 22, Nr. 5 (September 1985): 535–44. http://dx.doi.org/10.1111/j.1469-8986.1985.tb01647.x.

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44

Reyes, Gabriel, und Jérôme Sackur. „Introspection during short-term memory scanning“. Quarterly Journal of Experimental Psychology 71, Nr. 10 (01.01.2018): 2088–100. http://dx.doi.org/10.1177/1747021817738951.

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The literature in metacognition has argued for many years that introspective access to our own mental content is restricted to the cognitive states associated with the response to a task, such as the level of confidence in a decision or the estimation of the response time; however, the cognitive processes that underlie such states were deemed inaccessible to participants’ consciousness. Here, we ask whether participants could introspectively distinguish the cognitive processes that underlie two short-term memory tasks. For this purpose, we asked participants, on a trial-by-trial basis, to report the number of items that they mentally scanned during their short-term memory retrieval, which we have named “subjective number of scanned items.” The subjective number of scanned items index was evaluated, in Experiment 1, immediately after a judgment of recency task and, in Experiment 2, after an item recognition task. Finally, in Experiment 3, both tasks were randomly mixed. The results showed that participants’ introspection successfully accessed the complexity of the decisional processes.

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45

Cowan, Nelson. „Mechanisms of Verbal Short-Term Memory“. Current Directions in Psychological Science 3, Nr. 6 (Dezember 1994): 185–89. http://dx.doi.org/10.1111/1467-8721.ep10770705.

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46

Gathercole, Susan E., Clive R. Frankish, Susan J. Pickering und Sarah Peaker. „Phonotactic influences on short-term memory.“ Journal of Experimental Psychology: Learning, Memory, and Cognition 25, Nr. 1 (1999): 84–95. http://dx.doi.org/10.1037/0278-7393.25.1.84.

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47

Jiang, Yuhong, Ingrid R. Olson und Marvin M. Chun. „Organization of visual short-term memory.“ Journal of Experimental Psychology: Learning, Memory, and Cognition 26, Nr. 3 (2000): 683–702. http://dx.doi.org/10.1037/0278-7393.26.3.683.

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48

Norris, Dennis, Michael Page und Alan Baddeley. „Connectionist modelling of short-term memory“. Language and Cognitive Processes 10, Nr. 3-4 (August 1995): 407–9. http://dx.doi.org/10.1080/01690969508407108.

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49

Kollias, Christina M., und Stephen R. Jennings. „Short‐term viral exposure and memory“. Immunology & Cell Biology 89, Nr. 1 (06.07.2010): 4–6. http://dx.doi.org/10.1038/icb.2010.86.

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50

Knight, Raymond A., David S. Elliott und Eric G. Freedman. „Short-term visual memory in schizophrenics.“ Journal of Abnormal Psychology 94, Nr. 4 (1985): 427–42. http://dx.doi.org/10.1037/0021-843x.94.4.427.

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Zeitschriftenartikel zum Thema „Short-term memory“

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