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Journal articles on the topic 'Cognitive processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Liao, Jiejie, Yidong Yang, Zhili Han, and Lei Mo. "The Critical Trigger for Cognitive Penetration: Cognitive Processing Priority over Perceptual Processing." Behavioral Sciences 14, no. 8 (2024): 632. http://dx.doi.org/10.3390/bs14080632.

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The visual perception system of humans is susceptible to cognitive influence, which implies the existence of cognitive perception. However, the specifical trigger for cognitive penetration is still a matter of controversy. The current study proposed that the cognitive processing priority over perceptual processing might be critical for inducing cognitive penetration. We tested this hypothesis by manipulating the processing priority between cognition and perception across three experiments where participants were asked to complete a size-judging task under different competing conditions between

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2

Mercier, Pierre. "Automatic Cognitive Processing." Contemporary Psychology: A Journal of Reviews 37, no. 1 (1992): 42–43. http://dx.doi.org/10.1037/031788.

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3

Tran, Chi. "Cognitive information processing." Vietnam Journal of Computer Science 1, no. 4 (2014): 207–18. http://dx.doi.org/10.1007/s40595-014-0019-4.

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4

Chia, Kok Hwee, and Meng Lek Ng. "Cognition, cognitive abilities & cognitive training program." Unlimited Human! 2021, Summer (2025): 4–6. https://doi.org/10.5281/zenodo.15227209.

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Cognition encompasses many aspects of cognitive functions as well as processes that include attention and concentration, the concept formation of knowledge, memory, rational thinking (i.e., judgment and evaluation), reasoning and logic, computation, problem solving and choice/decision making, receptive and expressive language processing that includes different levels of comprehension as well as composition of ideas and thoughts. Cognitive processes use existing knowledge and generate new knowledge. In this paper, the two authors differentiated between abilities and skills, examined the hierarc

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Bergman, Jukka-Pekka, Vladimir Platonov, Igor Dukeov, Pekka Röyttä, and Pasi Luukka. "Information Processing Approach in Organisational Cognitive Structures." International Journal of Information Systems and Social Change 7, no. 4 (2016): 1–19. http://dx.doi.org/10.4018/ijissc.2016100101.

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Despite of increasing interest in social cognitive research in strategic management during recent years, few studies have examined the relationship between cognitive structures of top management and middle management. This study represents the information processing approach in managerial cognition research assuming that top management communicate their shared cognitions into the organization reducing ambiguity of operative environment faced by the other levels of organization shaping the operations of the organizations. The authors' empirical study examines managerial cognitive maps collected

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6

Greenwood, John D. "Cognition, consciousness, and the cognitive revolution." Behavioral and Brain Sciences 32, no. 2 (2009): 209–10. http://dx.doi.org/10.1017/s0140525x09000971.

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AbstractIt is argued that the cognitive revolution provided general support for the view that associative learning requires cognitive processing, but only limited support for the view that it requires conscious processing. The point is illustrated by two studies of associative learning that played an important role in the development of the cognitive revolution, but which are surprisingly neglected by Mitchell et al. in the target article.

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Dutke, Stephan, Thomas Jaitner, Timo Berse, and Jonathan Barenberg. "Acute Physical Exercise Affected Processing Efficiency in an Auditory Attention Task More Than Processing Effectiveness." Journal of Sport and Exercise Psychology 36, no. 1 (2014): 69–79. http://dx.doi.org/10.1123/jsep.2013-0044.

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Research on effects of acute physical exercise on performance in a concurrent cognitive task has generated equivocal evidence. Processing efficiency theory predicts that concurrent physical exercise can increase resource requirements for sustaining cognitive performance even when the level of performance is unaffected. This hypothesis was tested in a dual-task experiment. Sixty young adults worked on a primary auditory attention task and a secondary interval production task while cycling on a bicycle ergometer. Physical load (cycling) and cognitive load of the primary task were manipulated. Ne

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8

Kampis, Dora, and Victoria Southgate. "Altercentric Cognition: How Others Influence Our Cognitive Processing." Trends in Cognitive Sciences 24, no. 11 (2020): 945–59. http://dx.doi.org/10.1016/j.tics.2020.09.003.

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9

Vagias, Hariklia, Michelle L. Byrne, Lyn Millist, Owen White, Meaghan Clough, and Joanne Fielding. "Visuo-Cognitive Phenotypes in Early Multiple Sclerosis: A Multisystem Model of Visual Processing." Journal of Clinical Medicine 13, no. 3 (2024): 649. http://dx.doi.org/10.3390/jcm13030649.

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Background: Cognitive impairment can emerge in the earliest stages of multiple sclerosis (MS), with heterogeneity in cognitive deficits often hindering symptom identification and management. Sensory–motor dysfunction, such as visual processing impairment, is also common in early disease and can impact neuropsychological task performance in MS. However, cognitive phenotype research in MS does not currently consider the relationship between early cognitive changes and visual processing impairment. Objectives: This study explored the relationship between cognition and visual processing in early M

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10

Oyebode, F. "Cognitive processing in schizophrenia." British Journal of Psychiatry 186, no. 3 (2005): 262. http://dx.doi.org/10.1192/bjp.186.3.262.

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11

Drummond, PD. "Cognitive Processing in Migraine." Cephalalgia 18, no. 3 (1998): 123. http://dx.doi.org/10.1046/j.1468-2982.1998.1803123.x.

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12

Watts, Fraser N. "Cognitive Processing in Phobias." Behavioural and Cognitive Psychotherapy 14, no. 4 (1986): 295–301. http://dx.doi.org/10.1017/s0141347300014919.

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A programme of research is described which investigates the cognitive processing of phobic stimuli. Phobics show good perceptual “pick-up” of phobic words on a version of the Stroop test. However, their encoding appears to be poor, as indexed by recognition memory for phobic stimuli. Consistent with this, cognitive representations of phobic stimuli are poorly elaborated and differentiated. Brief desensitization was found to have stronger effects on perceptual and encoding phenomena than on cognitive representations. Finally, spider phobics were found to have poor recall of phobic words. This c

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13

Gini, Fulvio, and Sergios Theodoridis. "Cognitive Information Processing Workshop." IEEE Aerospace and Electronic Systems Magazine 25, no. 11 (2010): 40–41. http://dx.doi.org/10.1109/maes.2010.5638807.

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14

Pereira, Bliss. "Cognitive Information Processing Speed." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 1969–78. http://dx.doi.org/10.22214/ijraset.2023.48563.

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Abstract: Using visual learning and meditation based techniques to develop brain training apps that can significantly improve cognitive performance. This paper seeks to understand what causes slow cognitive processing speed and designs an application to diagnose it in early stages and provide support to people having slow processing speed. Moreover, significant primary data is collected to validate the hypothesis that visual learning techniques presented through mobile applications can improve cognitive performance.

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15

Cavanagh, Patrick. "The cognitive impenetrability of cognition." Behavioral and Brain Sciences 22, no. 3 (1999): 370–71. http://dx.doi.org/10.1017/s0140525x99272020.

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Cognitive impenetrability is really two assertions: (1) perception and cognition have access to different knowledge bases; and (2) perception does not use cognitive-style processes. The first leads to the unusual corollary that cognition is itself cognitively impenetrable. The second fails when it is seen to be the claim that reasoning is available only in conscious processing.

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16

Cárdenas, José, María J. Blanca, Fernando Carvajal, Sandra Rubio, and Carmen Pedraza. "Emotional Processing in Healthy Ageing, Mild Cognitive Impairment, and Alzheimer’s Disease." International Journal of Environmental Research and Public Health 18, no. 5 (2021): 2770. http://dx.doi.org/10.3390/ijerph18052770.

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Emotional processing, particularly facial expression recognition, is essential for social cognition, and dysfunction may be associated with poor cognitive health. In pathological ageing conditions, such as mild cognitive impairment (MCI) and Alzheimer’s disease (AD), in which cognitive impairments are present, disturbed emotional processing and difficulty with social interactions have been documented. However, it is unclear how pathological ageing affects emotional processing and human social behaviour. The aim of this study is to provide insight into how emotional processing is affected in MC

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17

Sugai, Kelli, Nicole Whittle, Christian Herrera Ortiz, Marjorie R. Leek, Grace Lee, and Jonathan H. Venezia. "Relation between temporal fine structure processing and global processing speed." Journal of the Acoustical Society of America 152, no. 4 (2022): A231. http://dx.doi.org/10.1121/10.0016111.

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Strelcyk et al. (2019) recently found that interaural phase discrimination in older hearing-impaired listeners was correlated with both visuospatial processing speed and interaural level discrimination. This suggests that temporal fine structure (TFS) processing relies on global processing speed and/or spatial cognition, though it is possible that, generally, complex auditory discrimination engages multiple cognitive domains. Here, 50 Veterans (mean age = 48.1, range = 30–60) with normal or near-normal hearing completed batteries of temporal processing and cognitive tests. Composite cognitive

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18

EBERT, EDWARD S. "The Cognitive Spiral: Creative Thinking and Cognitive Processing." Journal of Creative Behavior 28, no. 4 (1994): 275–90. http://dx.doi.org/10.1002/j.2162-6057.1994.tb00734.x.

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19

Nagai, Masayoshi, Keiga Abe, Kei Fuji, and Tomoko Oe. "Embodied cognition: Interaction between bodily state and cognitive processing." Proceedings of the Annual Convention of the Japanese Psychological Association 78 (September 10, 2014): SS—039—SS—039. http://dx.doi.org/10.4992/pacjpa.78.0_ss-039.

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20

Clough, M., J. Dobbing, J. Stankovich, et al. "Cognitive processing speed deficits in multiple sclerosis: Dissociating sensorial and motor processing changes from cognitive processing speed." Multiple Sclerosis and Related Disorders 38 (February 2020): 101522. http://dx.doi.org/10.1016/j.msard.2019.101522.

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21

Panchal, Priyanka, Alexander Kaltenboeck, and Catherine J. Harmer. "Cognitive emotional processing across mood disorders." CNS Spectrums 24, no. 1 (2019): 54–63. http://dx.doi.org/10.1017/s109285291800130x.

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While impairments in cognitive emotional processing are key to the experience of mood disorders, little is understood of their shared and distinct features across major depressive disorder (MDD) and bipolar disorder (BD). In this review, we discuss the similarities and differences in abnormal emotional processing associated with mood disorders across the cognitive domains of perception, attention, memory, and reward processing, with a particular focus on how these impairments relate to the clinical profile of the disorders. We consider behavioral and neuroimaging evidence, especially that of t

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22

Davou, Bettina. "Interaction of Emotion and Cognition in the Processing of Textual Material." Meta 52, no. 1 (2007): 37–47. http://dx.doi.org/10.7202/014718ar.

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Abstract Cognitive psychology and cognitive science have only recently come to acknowledge that human beings are not “pure” cognitive systems, and that emotions may be more than simply another form of cognition. This paper presents recent theoretical issues on the interaction of cognition with emotion, drawing on findings from evolutionary, neurobiological and cognitive research. These findings indicate that emotions have a fundamental and, often, universal importance for human cognitive functioning. Advanced cognitive processing, such as the processing required for text comprehension and tran

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23

Rodrigues, Humberto, Antonio Jesús Molina-Fernandez2, Richard Lamb, Ikeseon Choi, and Tosha Owens. "Unravelling Student Learning: Exploring Nonlinear Dynamics in Science Education." International Journal of Psychology and Neuroscience 9, no. 3 (2023): 118–37. http://dx.doi.org/10.56769/ijpn09311.

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Abstract Background: Traditional education research often relies on static linear approaches to measure dynamic systems involved in student information processing, overlooking the complexity of learning. Emerging research in related fields acknowledges the highly dynamic and nonlinear nature of cognitive states and information processing. Current educational research methods, predominantly based on quantitative and qualitative "snapshot" examinations, inadequately capture the dynamic and nonlinear aspects of cognitive processing during learning. Objective: This study aims to explore nonlinear

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24

Jung, Seojung, and Karen Siedlecki. "Temporal Relationship Between Activity Engagement and Cognition." Innovation in Aging 4, Supplement_1 (2020): 592. http://dx.doi.org/10.1093/geroni/igaa057.1987.

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Abstract Previous studies have shown that activity engagement is related to cognitive function. However, few studies have examined the temporal order between activity engagement and various domains of cognition. Using data from the Virginia Cognitive Aging Project (baseline N =5430, Mage =51.28, SD =18.12), we examined the temporal relationships between engagement in physical and cognitive activity and different cognitive domains (reasoning, spatial visualization, episodic memory, processing speed, vocabulary) after controlling for age, education, self-rated health and depression. Cross-lagged

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25

Aleman, André. "Neurocognitive Basis of Schizophrenia: Information Processing Abnormalities and Clues for Treatment." Advances in Neuroscience 2014 (February 9, 2014): 1–15. http://dx.doi.org/10.1155/2014/104920.

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Schizophrenia is a chronic and severe psychiatric disorder that affects all aspects of patients’ lives. Over the past decades, research applying methods from psychology and neuroscience has increasingly been zooming in on specific information processing abnormalities in schizophrenia. Impaired activation of and connectivity between frontotemporal, frontoparietal, and frontostriatal brain networks subserving cognitive functioning and integration of cognition and emotion has been consistently reported. Major issues in schizophrenia research concern the cognitive and neural basis of hallucination

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26

Wolfe, Christopher R. "Cognitive technologies for gist processing." Behavior Research Methods 38, no. 2 (2006): 183–89. http://dx.doi.org/10.3758/bf03192767.

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27

Koehn, J. D., J. Dickinson, and D. Goodman. "Cognitive Demands of Error Processing." Psychological Reports 102, no. 2 (2008): 532–38. http://dx.doi.org/10.2466/pr0.102.2.532-538.

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This study used a dual-task methodology to assess attention demands associated with error processing during an anticipation-timing task. A difference was predicted in attention demands during feedback on trials with correct responses and errors. This was addressed by requiring participants to respond to a probe reaction-time stimulus after augmented feedback presentation. 16 participants (8 men, 8 women) completed two phases, the reaction time task only and the anticipation-timing task with the probe RT task. False feedback indicating error and a financial reward manipulation were used to incr

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28

Rakover and Cahlon. "Cognitive Processing of Scrambled Faces." American Journal of Psychology 126, no. 2 (2013): 235. http://dx.doi.org/10.5406/amerjpsyc.126.2.0235.

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29

Strupp, Barbara J., Herbert Weingartner, Walter Kaye, and Harry Gwirtsman. "Cognitive Processing in Anorexia nervosa." Neuropsychobiology 15, no. 2 (1986): 89–94. http://dx.doi.org/10.1159/000118248.

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30

Reynolds, Sharon B., and Joan Hart. "Cognitive Mapping and Word Processing." Journal of Experimental Education 58, no. 4 (1990): 273–79. http://dx.doi.org/10.1080/00220973.1990.10806541.

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31

Brewin, Chris R. "Cognitive processing of adverse experiences." International Review of Psychiatry 8, no. 4 (1996): 333–39. http://dx.doi.org/10.3109/09540269609051548.

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32

Matthews, Douglas B., Phillip J. Best, Aaron M. White, Jim L. Vandergriff, and Peter E. Simson. "Ethanol Impairs Spatial Cognitive Processing." Current Directions in Psychological Science 5, no. 4 (1996): 111–15. http://dx.doi.org/10.1111/1467-8721.ep11452772.

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33

Jun Ma, G. Y. Li, and Biing Hwang Juang. "Signal Processing in Cognitive Radio." Proceedings of the IEEE 97, no. 5 (2009): 805–23. http://dx.doi.org/10.1109/jproc.2009.2015707.

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34

Principe, Jose C., and Rakesh Chalasani. "Cognitive Architectures for Sensory Processing." Proceedings of the IEEE 102, no. 4 (2014): 514–25. http://dx.doi.org/10.1109/jproc.2014.2307023.

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35

de Araujo, Ivan E., Edmund T. Rolls, Maria Inés Velazco, Christian Margot, and Isabelle Cayeux. "Cognitive Modulation of Olfactory Processing." Neuron 46, no. 4 (2005): 671–79. http://dx.doi.org/10.1016/j.neuron.2005.04.021.

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36

Schweizer, Karl. "Preattentive processing and cognitive ability." Intelligence 29, no. 2 (2001): 169–86. http://dx.doi.org/10.1016/s0160-2896(00)00049-0.

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37

Kardash, Carol Anne M., Jeanne T. Amlund, Raymond W. Kulhavy, and Geraldine C. Ellison. "Bilingual referents in cognitive processing." Contemporary Educational Psychology 13, no. 1 (1988): 45–57. http://dx.doi.org/10.1016/0361-476x(88)90005-7.

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38

Willis, W. Grant. "Neurological models of cognitive processing." Learning and Individual Differences 1, no. 4 (1989): 371–83. http://dx.doi.org/10.1016/1041-6080(89)90019-8.

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39

Evers, Stefan. "Cognitive processing in cluster headache." Current Pain and Headache Reports 9, no. 2 (2005): 109–12. http://dx.doi.org/10.1007/s11916-005-0047-y.

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40

Tenorth, Moritz, Dominik Jain, and Michael Beetz. "Knowledge Processing for Cognitive Robots." KI - Künstliche Intelligenz 24, no. 3 (2010): 233–40. http://dx.doi.org/10.1007/s13218-010-0044-0.

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41

Iglesias-Sarmiento, Valentín, and Manuel Deaño. "Cognitive Processing and Mathematical Achievement." Journal of Learning Disabilities 44, no. 6 (2011): 570–83. http://dx.doi.org/10.1177/0022219411400749.

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This investigation analyzed the relation between cognitive functioning and mathematical achievement in 114 students in fourth, fifth, and sixth grades. Differences in cognitive performance were studied concurrently in three selected achievement groups: mathematical learning disability group (MLD), low achieving group (LA), and typically achieving group (TA). For this purpose, performance in verbal memory and in the PASS cognitive processes of planning, attention, and simultaneous and successive processing was assessed at the end of the academic course. Correlational analyses showed that phonol

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42

Kutas, M. "Language processing and cognitive potentials." Electroencephalography and Clinical Neurophysiology 61, no. 3 (1985): S11. http://dx.doi.org/10.1016/0013-4694(85)90082-3.

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43

Bose, Pradip, and Alper Buyuktosunoglu. "Architectural Support for Cognitive Processing." IEEE Micro 37, no. 1 (2017): 6–7. http://dx.doi.org/10.1109/mm.2017.20.

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44

Higgs, Suzanne. "Cognitive processing of food rewards." Appetite 104 (September 2016): 10–17. http://dx.doi.org/10.1016/j.appet.2015.10.003.

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45

Guérin, Fanny, Bernadette Ska, and Sylvie Belleville. "Cognitive Processing of Drawing Abilities." Brain and Cognition 40, no. 3 (1999): 464–78. http://dx.doi.org/10.1006/brcg.1999.1079.

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46

Pachur, Thorsten, and Arndt Bröder. "Judgment: a cognitive processing perspective." Wiley Interdisciplinary Reviews: Cognitive Science 4, no. 6 (2013): 665–81. http://dx.doi.org/10.1002/wcs.1259.

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47

Lowe, Robert, Alexander Almér, and Christian Balkenius. "Bridging Connectionism and Relational Cognition through Bi-directional Affective-Associative Processing." Open Information Science 3, no. 1 (2019): 235–60. http://dx.doi.org/10.1515/opis-2019-0017.

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Abstract Connectionist architectures constitute a popular method for modelling animal associative learning processes in order to glean insights into the formation of cognitive capacities. Such approaches (based on purely feedforward activity) are considered limited in their ability to capture relational cognitive capacities. Pavlovian learning value-based models, being not based purely on fully connected feedforward structure, have demonstrated learning capabilities that often mimic those of ‘higher’ relational cognition. Capturing data using such models often reveals how associative mechanism

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48

Dinulescu, Stejara, Talha Alvi, David Rosenfield, Cecile S. Sunahara, Junghee Lee, and Benjamin A. Tabak. "Self-Referential Processing Predicts Social Cognitive Ability." Social Psychological and Personality Science 12, no. 1 (2020): 99–107. http://dx.doi.org/10.1177/1948550620902281.

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Self-referential processing is critical for making sense of others. However, there remains surprisingly little research examining associations between behavioral assessments of self-referential processing and social cognition (i.e., tasks assessing one’s understanding of others’ thoughts and emotions). This study ( n = 396) examined this link by associating accuracy in a self-referential processing task with two assessments of social cognition (i.e., theory of mind and empathic accuracy). Exploratory analyses included an examination of the relationship between self-referential processing and a

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49

Ciria, Alejandra, Guido Schillaci, Giovanni Pezzulo, Verena V. Hafner, and Bruno Lara. "Predictive Processing in Cognitive Robotics: A Review." Neural Computation 33, no. 5 (2021): 1402–32. http://dx.doi.org/10.1162/neco_a_01383.

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Abstract Predictive processing has become an influential framework in cognitive sciences. This framework turns the traditional view of perception upside down, claiming that the main flow of information processing is realized in a top-down, hierarchical manner. Furthermore, it aims at unifying perception, cognition, and action as a single inferential process. However, in the related literature, the predictive processing framework and its associated schemes, such as predictive coding, active inference, perceptual inference, and free-energy principle, tend to be used interchangeably. In the field

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50

Andersen, R., B. Fagerlund, H. Rasmussen, et al. "The influence of impaired processing speed on cognition in first-episode antipsychotic-naïve schizophrenic patients." European Psychiatry 28, no. 6 (2013): 332–39. http://dx.doi.org/10.1016/j.eurpsy.2012.06.003.

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AbstractBackground:Impaired cognition is a prominent feature of schizophrenia. To what extent the heterogeneous cognitive impairments can be accounted for by considering only a single underlying impairment or a small number of core impairments remains elusive. This study examined whether cognitive impairments in antipsychotic-naïve, first-episode schizophrenia patients may be determined by a relative slower speed of information processing.Method:Forty-eight antipsychotic-naïve patients with first-episode schizophrenia and 48 matched healthy controls were administered a comprehensive battery of

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