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Journal articles on the topic 'Serial order'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Berg, Thomas. "Frequency and serial order." Linguistics 56, no. 6 (November 27, 2018): 1303–51. http://dx.doi.org/10.1515/ling-2018-0023.

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AbstractPrevious work on frequency has in the main focused on paradigmatic aspects such as irregularity and allomorphy. This study, in contrast, addresses the syntagmatic dimension and in particular examines the effect of token frequency on serial order. A simple prediction follows from the psycholinguistic observation that frequency facilitates the retrieval of linguistic units: frequent units should precede infrequent ones rather than vice versa in the linear representation of speech. This prediction is tested on a total of fourteen phenomena from various languages and found to receive wide support in the domain of word order. However, it exerts only a sporadic influence on morpheme order and apparently no influence on phoneme order. Frequency is argued to be a cost-free, explanatory and pervasive, albeit a relatively weak factor. It is most likely to manifest itself in areas where alternative ordering options are available which are also semantically similar. Frequency may accompany linguistic change through its various stages.

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2

Lewandowsky, Stephan, and Bennet B. Murdock. "Memory for serial order." Psychological Review 96, no. 1 (January 1989): 25–57. http://dx.doi.org/10.1037/0033-295x.96.1.25.

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3

Lewandowsky, Stephan, and Shu-Chen Li. "Memory for serial order revisited." Psychological Review 101, no. 3 (July 1994): 539–43. http://dx.doi.org/10.1037/0033-295x.101.3.539.

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4

Tan, Lydia, and Geoff Ward. "Output order in immediate serial recall." Memory & Cognition 35, no. 5 (July 2007): 1093–106. http://dx.doi.org/10.3758/bf03193481.

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5

FRASER, D. "Spatial serial order processing in schizophrenia." Schizophrenia Research 70, no. 2-3 (October 2004): 203–13. http://dx.doi.org/10.1016/j.schres.2003.09.019.

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6

Smyth, Mary M., and Keith A. Scholey. "Serial Order in Spatial Immediate Memory." Quarterly Journal of Experimental Psychology Section A 49, no. 1 (February 1996): 159–77. http://dx.doi.org/10.1080/713755615.

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Serial order effects in spatial memory are investigated in three experiments. In the first an analysis of errors in recall data suggested that immediate transpositions were the most common error and that order errors over 2 or 3 adjacent items accounted for the majority of errors in recall. The first and last serial positions are less error-prone than is the middle position in sets of six and seven items. A second experiment investigated recognition of transpositions and found that immediate transpositions were hardest to recognize but that a traditional serial position effect was not found. This may be due to the difficulty of maintaining one set of spatial items when another set is presented for comparison. A probe experiment, in which subjects were asked to recognize whether a single item came from a memory set and then to assign it to its position in the set indicated that the first and last positions were remembered more accurately than were central positions. The combination of serial order data in recall and position data suggests that there are similarities between serial order and position effects in the verbal and spatial domains and that serial order in spatial sequences is position-based.

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Smyth, Mary M., and Keith A. Scholey. "Serial Order in Spatial Immediate Memory." Quarterly Journal of Experimental Psychology A 49, no. 1 (February 1, 1996): 159–77. http://dx.doi.org/10.1080/027249896392847.

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8

Whitney, Carl L. "Serial order in wood thrush song." Animal Behaviour 33, no. 4 (November 1985): 1250–65. http://dx.doi.org/10.1016/s0003-3472(85)80185-8.

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9

Fischer-Baum, S. "General Principles of Serial Order Representation." Procedia - Social and Behavioral Sciences 94 (October 2013): 216–17. http://dx.doi.org/10.1016/j.sbspro.2013.09.107.

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10

Lewkowicz, David J. "Perception of serial order in infants." Developmental Science 7, no. 2 (April 2004): 175–84. http://dx.doi.org/10.1111/j.1467-7687.2004.00336.x.

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11

Brown, Gordon D. A., Tim Preece, and Charles Hulme. "Oscillator-based memory for serial order." Psychological Review 107, no. 1 (2000): 127–81. http://dx.doi.org/10.1037/0033-295x.107.1.127.

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12

Goddard, Murray J., and Emily E. Maxan. "Serial order learning in associative formation." Behavioural Processes 67, no. 2 (September 2004): 321–26. http://dx.doi.org/10.1016/j.beproc.2004.03.020.

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13

Long, Nicole M., and Michael J. Kahana. "Hippocampal contributions to serial-order memory." Hippocampus 29, no. 3 (November 5, 2018): 252–59. http://dx.doi.org/10.1002/hipo.23025.

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14

Brooks, Joseph L. "Counterbalancing for serial order carryover effects in experimental condition orders." Psychological Methods 17, no. 4 (2012): 600–614. http://dx.doi.org/10.1037/a0029310.

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15

Quinlan, Philip T., Steven Roodenrys, and Leonie M. Miller. "Serial reconstruction of order and serial recall in verbal short-term memory." Memory & Cognition 45, no. 7 (May 31, 2017): 1126–43. http://dx.doi.org/10.3758/s13421-017-0719-y.

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16

Logie, Robert H., Satoru Saito, Aiko Morita, Samarth Varma, and Dennis Norris. "Recalling visual serial order for verbal sequences." Memory & Cognition 44, no. 4 (December 24, 2015): 590–607. http://dx.doi.org/10.3758/s13421-015-0580-9.

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17

Boltz, Marilyn, Elizabeth Marshburn, Mari Riess Jones, and Walter W. Johnson. "Serial-pattern structure and temporal-order recognition." Perception & Psychophysics 37, no. 3 (May 1985): 209–17. http://dx.doi.org/10.3758/bf03207566.

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18

Logan, Gordon D. "Serial order in perception, memory, and action." Psychological Review 128, no. 1 (January 2021): 1–44. http://dx.doi.org/10.1037/rev0000253.

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19

Bruce, Darryl. "Lashley and the problem of serial order." American Psychologist 49, no. 2 (1994): 93–103. http://dx.doi.org/10.1037/0003-066x.49.2.93.

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20

Carstens, Vicki. "Antisymmetry and Word Order in Serial Constructions." Language 78, no. 1 (2002): 3–50. http://dx.doi.org/10.1353/lan.2002.0004.

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21

Kerr, June, Geoff Ward, and S. E. Avons. "Response bias in visual serial order memory." Journal of Experimental Psychology: Learning, Memory, and Cognition 24, no. 5 (1998): 1316–23. http://dx.doi.org/10.1037/0278-7393.24.5.1316.

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22

Murdock, Bennet. "Storage and retrieval of serial‐order information." Memory 13, no. 3-4 (March 2005): 259–66. http://dx.doi.org/10.1080/09658210344000260.

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23

Kidd, Gary R., and Anthony G. Greenwald. "Attention, Rehearsal, and Memory for Serial Order." American Journal of Psychology 101, no. 2 (1988): 259. http://dx.doi.org/10.2307/1422838.

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24

Kowialiewski, Benjamin, Benoît Lemaire, Steve Majerus, and Sophie Portrat. "Can activated long-term memory maintain serial order information?" Psychonomic Bulletin & Review 28, no. 4 (March 25, 2021): 1301–12. http://dx.doi.org/10.3758/s13423-021-01902-3.

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AbstractThe maintenance of serial order information is a core component of working memory (WM). Many theoretical models assume the existence of specific serial order mechanisms. Those are considered to be independent from the linguistic system supporting maintenance of item information. This is based on studies showing that psycholinguistic factors strongly affect the ability to maintain item information, while leaving order recall relatively unaffected. Recent language-based accounts suggest, however, that the linguistic system could provide mechanisms that are sufficient for serial order maintenance. A strong version of these accounts postulates serial order maintenance as emerging from the pattern of activation occurring in the linguistic system. In the present study, we tested this assumption via a computational modeling approach by implementing a purely activation-based architecture. We tested this architecture against several experiments involving the manipulation of semantic relatedness, a psycholinguistic variable that has been shown to interact with serial order processing in a complex manner. We show that this activation-based architecture struggles to account for interactions between semantic knowledge and serial order processing. This study fails to support activated long-term memory as an exclusive mechanism supporting serial order maintenance.

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25

De Belder, Maya, Elger Abrahamse, Mauro Kerckhof, Wim Fias, and Jean-Philippe van Dijck. "Serial Position Markers in Space: Visuospatial Priming of Serial Order Working Memory Retrieval." PLOS ONE 10, no. 1 (January 22, 2015): e0116469. http://dx.doi.org/10.1371/journal.pone.0116469.

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26

Abrahamse, Elger L., Jean-Philippe van Dijck, and Wim Fias. "Grounding Verbal Working Memory: The Case of Serial Order." Current Directions in Psychological Science 26, no. 5 (October 2017): 429–33. http://dx.doi.org/10.1177/0963721417704404.

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The maintenance of serial order in verbal working memory (WM) is a major unsolved puzzle in cognitive science. Here we review a series of studies showing that serial order in verbal WM closely interacts with spatial processing. Accordingly, we outline the “mental whiteboard hypothesis,” which postulates that serial order in verbal WM is grounded in the spatial attention system. Specifically, serial context in verbal WM is provided by binding the memoranda to coordinates within an internal, spatially defined system within which (internal) spatial attention is at play to the purpose of searching for and retrieving information. Challenges and opportunities to be considered in future studies are discussed.

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27

Johnston, Melissa, Andrew N. Clarkson, Emma K. Gowing, Damian Scarf, and Michael Colombo. "Effects of nidopallium caudolaterale inactivation on serial-order behavior in pigeons (Columba livia)." Journal of Neurophysiology 120, no. 3 (September 1, 2018): 1143–52. http://dx.doi.org/10.1152/jn.00167.2018.

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Serial-order behavior is the ability to complete a sequence of responses in a predetermined order to achieve a reward. In birds, serial-order behavior is thought to be impaired by damage to the nidopallium caudolaterale (NCL). In the current study, we examined the role of the NCL in serial-order behavior by training pigeons on a 4-item serial-order task and a go/no-go discrimination task. Following training, pigeons received infusions of 1 μl of either tetrodotoxin (TTX) or saline. Saline infusions had no impact on serial-order behavior, whereas TTX infusions resulted in a significant decrease in performance. The serial-order impairments, however, were not the result of any specific error at any specific list item. With respect to the go/no-go discrimination task, saline infusions also had no impact on performance, whereas TTX infusions impaired pigeons’ discrimination abilities. Given the impairments on the go/no-go discrimination task, which does not require processing of serial-order information, we tentatively conclude that damage to the NCL does not impair serial-order behavior per se, but rather results in a more generalized impairment that may impact performance across a range of tasks. NEW & NOTEWORTHY We examined the role of the nidopallium caudolaterale (NCL) in serial-order behavior by training pigeons on a 4-item serial-order task and selectively inhibiting the region with TTX. Although TTX infusions did impair serial-order behavior, the pattern of the deficit, plus the fact that TTX also impaired performance on a task without a serial-order component, indicates that inactivation of NCL causes impairments in reward processing or inhibition rather than serial-order behavior.

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28

Jeyanthi, R., and Sriram Devanathan. "Addressing Higher Order Serial Correlation in Techniques for Gross Error Detection." Journal of Computational and Theoretical Nanoscience 17, no. 1 (January 1, 2020): 297–302. http://dx.doi.org/10.1166/jctn.2020.8665.

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Serial correlation present in the process measurement data may affect the performance of gross error detection (GED) techniques significantly. It has been our observation that most of the GED techniques assume that the data are not serially correlated. However, serial correlation can occur in measurement data due to delay in the process loop, signal processing elements, and other process phenomena. Performance of GED techniques depends on accurate estimation of variances of measured variables. Serial correlation in measured data increases the variance. Therefore, it is important to eliminate the effect of serial correlation in the measured data. Two approaches are proposed to handle serial correlation, one based on variance correction, and the other on prewhitening of residuals. This paper presents the performance of serial elimination techniques of higher order correlation applied in the measurement test (MT).

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29

Gorin, Simon. "The influence of rhythm on short-term memory for serial order." Quarterly Journal of Experimental Psychology 73, no. 12 (July 27, 2020): 2071–92. http://dx.doi.org/10.1177/1747021820941358.

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In the field of verbal short-term memory (STM), numerous theoretical models have been proposed to explain how serial order information is processed and represented. Evidence suggests that serial order is represented through associations between items and a varying contextual signal coding the position of each item in a sequence, but the nature of this contextual signal is still a matter of debate (i.e., event-based vs. time-based varying signal). According to event-based models of serial order, the contextual signal coding serial order is not sensitive to temporal manipulations, as it is the case in irregularly timed sequences. Up to now, the study of the temporal factors influencing serial order STM has been limited to temporal grouping and temporal isolation effects. The goal of the present study is to specify in more detail the role played by temporal factors in serial order STM tasks. To accomplish this, we compared recall performance and error patterns for sequences presenting items at a regular or an irregular and unpredictable timing in three experiments. The results showed that irregular timing does not affect serial recall nor the pattern of errors. These data clearly favour the view that serial order in verbal STM is represented with event-based rather than time-based codes.

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30

Quinlan, Philip T., Steven Roodenrys, and Leonie M. Miller. "Correction to: Serial reconstruction of order and serial recall in verbal short-term memory." Memory & Cognition 46, no. 4 (January 3, 2018): 655. http://dx.doi.org/10.3758/s13421-017-0787-z.

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31

De Belder, Maya, Elger Abrahamse, Mauro Kerckhof, Wim Fias, and Jean-Philippe van Dijck. "Correction: Serial Position Markers in Space: Visuospatial Priming of Serial Order Working Memory Retrieval." PLOS ONE 14, no. 3 (March 28, 2019): e0214762. http://dx.doi.org/10.1371/journal.pone.0214762.

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32

Jou, Jerwen. "Two paradigms of measuring serial-order memory: two different patterns of serial-position functions." Psychological Research 75, no. 3 (July 4, 2010): 202–13. http://dx.doi.org/10.1007/s00426-010-0297-0.

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33

Sasaki, Kosuke, and Tomoo Inoue. "Coordinating Real-Time Serial Cooperative Work by Cuing the Order in the Case of Theatrical Performance Practice." Mobile Information Systems 2019 (February 13, 2019): 1–10. http://dx.doi.org/10.1155/2019/4545917.

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Our goal is to facilitate real-time serial cooperative work. In real-time serial cooperative work, the order of subtasks is important because a failure of the order leads to a failure of the whole task. So, coordinating the order of workers’ subtasks is necessary to smoothly accomplish the tasks. In this paper, we propose a method that uses vibration to present the action order and coordinate the orders. We conducted a user study to verify the effectiveness of the method in theatrical performance practice, which was an example of real-time serial cooperative work. As a result, order coordination reduced mistakes in the order of speech and action and in the contents of lines and action. This result suggests that order coordination can improve real-time serial cooperative work.

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34

Murdock, Bennet B. "Developing TODAM: Three models for serial-order information." Memory & Cognition 23, no. 5 (September 1995): 631–45. http://dx.doi.org/10.3758/bf03197264.

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35

Yang, Yongzhong. "WORD ORDER AND CONSTITUENCY OF SERIAL VERB CONSTRUCTIONS." Lingua Posnaniensis 55, no. 1 (June 1, 2013): 111–51. http://dx.doi.org/10.2478/linpo-2013-0008.

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Abstract The goal of this paper is to provide a unified account of word order and constituency of serial verb constructions (SVCs) in the framework of generative grammar. It is argued that both SVO-type and SOV-type SVCs follow the Temporal Iconicity, which is associated with the asymmetric nature of syntactic structure, i.e. V1 or VP1 c-commands V2 or VP2 asymmetrically. Based on this argument, an analysis for the derivation of SVCs - Inter-VP Asymmetrical C-command Analysis - is proposed to account for the derivation of SVCs in various languages. It is argued that in the SVC there exists a null predicate and a null argument, the occurrence or non-occurrence of which gives rise to different types of SVCs. Furthermore, left peripheral deletion (LPD) triggers the movement of VP1’s Spec to [Spec IP] and the occurrence of VP2’s Spec as pro, as a result of which VP1 asymmetrically c-commands VP2. Object gapping triggers the ATB movement of VP2 to generate various types of SVCs. The differences between coordinative constructions, pivotal constructions and SVCs lie in their internal structure but not in the verb position.

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36

Solway, Alec, Bennet B. Murdock, and Michael J. Kahana. "Positional and temporal clustering in serial order memory." Memory & Cognition 40, no. 2 (November 5, 2011): 177–90. http://dx.doi.org/10.3758/s13421-011-0142-8.

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37

Lewandowsky, Stephan, Lisa M. Nimmo, and Gordon D. A. Brown. "When temporal isolation benefits memory for serial order." Journal of Memory and Language 58, no. 2 (February 2008): 415–28. http://dx.doi.org/10.1016/j.jml.2006.11.003.

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38

Boeckx, Cedric, Anna Martinez-Alvarez, and Evelina Leivada. "The functional neuroanatomy of serial order in language." Journal of Neurolinguistics 32 (November 2014): 1–15. http://dx.doi.org/10.1016/j.jneuroling.2014.07.001.

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39

Botvinick, Matthew, and Lauren M. Bylsma. "Regularization in Short-Term Memory for Serial Order." Journal of Experimental Psychology: Learning, Memory, and Cognition 31, no. 2 (2005): 351–58. http://dx.doi.org/10.1037/0278-7393.31.2.351.

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40

D'Amato, M. R., and Michael Colombo. "Representation of serial order in monkeys (Cebus apella)." Journal of Experimental Psychology: Animal Behavior Processes 14, no. 2 (1988): 131–39. http://dx.doi.org/10.1037/0097-7403.14.2.131.

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41

Q. Pfordresher., Peter, Caroline Palmer, and Melissa K. Jungers. "Speed, Accuracy, and Serial Order in Sequence Production." Cognitive Science: A Multidisciplinary Journal 30, no. 1 (February 2007): 63–98. http://dx.doi.org/10.1207/s15516709cog3101_3.

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42

Scarf, Damian, and Michael Colombo. "Representation of serial order in pigeons (Columba livia)." Journal of Experimental Psychology: Animal Behavior Processes 36, no. 4 (2010): 423–29. http://dx.doi.org/10.1037/a0020926.

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43

Pfordresher, Peter Q., Caroline Palmer, and Melissa K. Jungers. "Speed, Accuracy, and Serial Order in Sequence Production." Cognitive Science 31, no. 1 (February 2007): 63–98. http://dx.doi.org/10.1080/03640210709336985.

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44

Snyder, Kristy M., and Gordon D. Logan. "The problem of serial order in skilled typing." Journal of Experimental Psychology: Human Perception and Performance 40, no. 4 (2014): 1697–717. http://dx.doi.org/10.1037/a0037199.

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45

Veall, Michael R. "Bootstrapping regression estimators under first-order serial correlation." Economics Letters 21, no. 1 (January 1986): 41–44. http://dx.doi.org/10.1016/0165-1765(86)90118-7.

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46

Koebel, Bertrand M. "First-order serial correlation in seemingly unrelated regressions." Economics Letters 82, no. 1 (January 2004): 1–7. http://dx.doi.org/10.1016/j.ecolet.2003.10.001.

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47

Ding, Huiping. "Initial order quantities in multistage serial production systems." International Journal of Production Economics 35, no. 1-3 (June 1994): 277–84. http://dx.doi.org/10.1016/0925-5273(94)90093-0.

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48

Kotyrlo, Elena. "Stationarity conditions for the spatial first-order and serial second-order model." Letters in Spatial and Resource Sciences 6, no. 1 (July 26, 2012): 19–29. http://dx.doi.org/10.1007/s12076-012-0083-2.

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49

Zhao, Yangke, Chuansheng Chen, and Xiuying Qian. "The Role of Hand Movement in Spatial Serial Order Memory." Multisensory Research 33, no. 3 (July 1, 2020): 313–35. http://dx.doi.org/10.1163/22134808-20191350.

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Abstract Research on serial order memory has traditionally used tasks where participants passively view the items. A few studies that included hand movement showed that such movement interfered with serial order memory. In the present study of three experiments, we investigated whether and how hand movements improved spatial serial order memory. Experiment 1 showed that manual tracing (i.e., hand movements that traced the presentation of stimuli on the modified eCorsi block tapping task) improved the performance of backward recall as compared to no manual tracing (the control condition). Experiment 2 showed that the facilitation effect resulted from voluntary hand movements and could not be achieved via passive viewing of another person’s manual tracing. Experiment 3 showed that it was the temporal, not the spatial, signal within manual tracing that facilitated spatial serial memory.

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50

Rhodes, Emma, Melissa Lamar, David J. Libon, and Tania Giovannetti. "Memory for Serial Order in Alzheimer’s Disease and Vascular Dementia: A Competitive Queuing Analysis." Archives of Clinical Neuropsychology 34, no. 1 (March 16, 2018): 2–13. http://dx.doi.org/10.1093/arclin/acy013.

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Abstract Objective Competitive Queuing (CQ) models of memory for serial order comprise two layers: parallel planning where target items are activated and competitive choice where serial order is specified. The application of CQ models regarding healthy and pathological aging has received little attention. Method Participants included patients with Alzheimer’s disease (AD; n = 26), vascular dementia (VaD; n = 29), and healthy controls (HC; n = 35). Memory for serial order in the visual domain was assessed using the Object Span Task, where participants briefly viewed then drew a sequence of four figures. Percent correct and total errors (omissions, intrusions, repetitions, transpositions) were computed for each serial position. Results Significant primacy effects were detected in each group. AD and VaD participants were less accurate and showed more omission and between-trial repetition errors than HC (HC < AD = VaD, p < .05). VaD participants produced more transposition and intrusion errors than the AD and HC groups (HC < AD < VaD, p < .05). A group × position interaction was significant for omissions (p < .05), with AD and VaD participants producing more omissions in later serial positions (SP1 < SP2 < SP3 < SP4, all p values < .05). Conclusions Analysis of accuracy and errors by serial position identified unique patterns of performance across groups that suggest involvement of distinct layers of response activation and selection. Serial order difficulties in AD may be due to weakened activation of task items affecting later serial positions, whereas poor performance in VaD may be due to weakened activation plus interference from extraneous stimuli at all serial positions.

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