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Showing 1 to 15 of 217 results Save | Export
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Yoshiki Matsumura; Neil W. Roach; James Heron; Makoto Miyazaki – npj Science of Learning, 2024
During timing tasks, the brain learns the statistical distribution of target intervals and integrates this prior knowledge with sensory inputs to optimise task performance. Daily events can have different temporal statistics (e.g., fastball/slowball in baseball batting), making it important to learn and retain multiple priors. However, the rules…
Descriptors: Time, Brain, Intervals, Responses
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Zijun Yin; Bin Xuan; Chengchi Liu; Jingchao Yi; Xiaoyan Zheng; Mingming Zhang – npj Science of Learning, 2025
Previous studies have insufficiently explored the influence of task and interpersonal interdependence on synchronous cooperation behavior. To address this gap, this study utilized fNIRS hyperscanning technique to investigate the behavioral and neural mechanisms within both friend and stranger dyads engaging in various levels of interdependent…
Descriptors: Task Analysis, Cooperative Learning, Interpersonal Relationship, Brain
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Norbert Vanek; Haoruo Zhang – Language Learning, 2024
Event segmentation tests have shown substantial overlaps in how adults recognize starts and endpoints as events unfold. However, far less is known about what role different language systems play in the process. Variations in grammatical aspect have been shown to influence event processing. We tested how closely first language (L1) speakers of…
Descriptors: Cognitive Processes, Brain, Mandarin Chinese, English (Second Language)
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Guoyang Liu; Yueyuan Zheng; Michelle Hei Lam Tsang; Zhao Yazhou; Janet H. Hsiao – npj Science of Learning, 2025
Eye movement patterns and consistency during face recognition are both associated with recognition performance. We examined whether they reflect different mechanisms through EEG decoding. Eighty-four participants performed an old-new face recognition task with eye movement pattern and consistency quantified using eye movement analysis with hidden…
Descriptors: Eye Movements, Human Body, Recognition (Psychology), Diagnostic Tests
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Li, Yangping; Beaty, Roger E.; Luchini, Simone; Dai, David Yun; Xiang, Shuoqi; Qi, Senqing; Li, Yadan; Zhao, Ruili; Wang, Xuewei; Hu, Weiping – Creativity Research Journal, 2023
Transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex (DLPFC) has been shown to enhance divergent and convergent creative thinking. Yet, how stimulation impacts creative performance over time, and what cognitive mechanisms underlie any such enhancement, remain largely unanswered questions. In the present research,…
Descriptors: Brain Hemisphere Functions, Creative Thinking, Cognitive Processes, Inhibition
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Ovando-Tellez, Marcela; Kenett, Yoed N.; Benedek, Mathias; Bernard, Matthieu; Belo, Joan; Beranger, Benoit; Bieth, Theophile; Volle, Emmanuelle – Creativity Research Journal, 2023
Associative thinking plays a major role in creativity, as it involves the ability to link distant concepts. Yet, the neural mechanisms allowing to combine distant associates in creative thinking tasks remain poorly understood. We investigated the whole-brain functional connectivity patterns related to combining remote associations for creative…
Descriptors: Brain, Associative Learning, Cognitive Processes, Creative Thinking
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Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Andéol Cadic-Melchior; Henning Müller; Roger Schaer; Leonardo G. Cohen; Friedhelm C. Hummel – npj Science of Learning, 2024
Healthy aging often entails a decline in cognitive and motor functions, affecting independence and quality of life in older adults. Brain stimulation shows potential to enhance these functions, but studies show variable effects. Previous studies have tried to identify responders and non-responders through correlations between behavioral change and…
Descriptors: Age Differences, Neurosciences, Prediction, Brain
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Pepin, Guillaume; Fort, Alexandra; Jallais, Christophe; Moreau, Fabien; Ndiaye, Daniel; Navarro, Jordan; Gabaude, Catherine – Applied Cognitive Psychology, 2021
Mind-wandering (MW) has a negative impact on tasks requiring sustained and divided attention like driving. During MW, drivers experience perceptual decoupling. As driving is mainly a visual activity, it would seem to be appropriate to evaluate stages of visual information processing impaired during MW, using event-related potential techniques. The…
Descriptors: Cognitive Processes, Attention Control, Visual Perception, Information Processing
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Xinru Zhang; Zhongling Pi; Ruili Zhao; Huizhi Bai; Weiping Hu; Xue Wei; Nina Cai; Lingling Zhang – Interactive Learning Environments, 2023
This study aimed to understand the effect of task motivation on online group creative performance and interpersonal interaction. A total of 150 university students were recruited to collaborate online on creativity tasks in dyads. The members' task motivation was manipulated, resulting in three groups that differed in their motivation composition.…
Descriptors: Interpersonal Relationship, Interaction, Computer Mediated Communication, Group Discussion
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Sandra Gattas; Heather A. Collett; Andrew E. Huff; Samantha D. Creighton; Siobhon E. Weber; Shoshana S. Buckhalter; Silas A. Manning; Hardeep S. Ryait; Bruce L. McNaughton; Boyer D. Winters – npj Science of Learning, 2022
Enrichment in rodents affects brain structure, improves behavioral performance, and is neuroprotective. Similarly, in humans, according to the cognitive reserve concept, enriched experience is functionally protective against neuropathology. Despite this parallel, the ability to translate rodent studies to human clinical situations is limited. This…
Descriptors: Animals, Cognitive Processes, Brain, Enrichment
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Evans, William S.; Hula, William D.; Quique, Yina; Starns, Jeffrey J. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Aphasia is a language disorder caused by acquired brain injury, which generally involves difficulty naming objects. Naming ability is assessed by measuring picture naming, and models of naming performance have mostly focused on accuracy and excluded valuable response time (RT) information. Previous approaches have therefore ignored the…
Descriptors: Aphasia, Pictorial Stimuli, Brain, Injuries
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Rivera-Rodriguez, Adrian; Sherwood, Maxwell; Fitzroy, Ahren B.; Sanders, Lisa D.; Dasgupta, Nilanjana – Cognitive Research: Principles and Implications, 2021
This study measured event-related brain potentials (ERPs) to test competing hypotheses regarding the effects of anger and race on early visual processing (N1, P2, and N2) and error recognition (ERN and Pe) during a sequentially primed weapon identification task. The first hypothesis was that anger would impair weapon identification in a biased…
Descriptors: Brain, Cognitive Processes, Psychological Patterns, Race
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Marchal, Paul; Villar, Maria Eugenia; Geng, Haiyang; Arrufat, Patrick; Combe, Maud; Viola, Haydée; Massou, Isabelle; Giurfa, Martin – Learning & Memory, 2019
Honeybees are a standard model for the study of appetitive learning and memory. Yet, fewer attempts have been performed to characterize aversive learning and memory in this insect and uncover its molecular underpinnings. Here, we took advantage of the positive phototactic behavior of bees kept away from the hive in a dark environment and…
Descriptors: Inhibition, Learning Processes, Memory, Molecular Structure
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Karanian, Jessica M.; Slotnick, Scott D. – Learning & Memory, 2017
Previous functional magnetic resonance imaging evidence has shown that false memories arise from higher-level conscious processing regions rather than lower-level sensory processing regions. In the present study, we assessed whether the lateral occipital complex (LOC)--a lower-level conscious shape processing region--was associated with false…
Descriptors: Memory, Recall (Psychology), Cognitive Processes, Brain
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Schubert, Anna-Lena; Hagemann, Dirk; Löffler, Christoph; Frischkorn, Gidon T. – Journal of Intelligence, 2020
Several studies have demonstrated that individual differences in processing speed fully mediate the association between age and intelligence, whereas the association between processing speed and intelligence cannot be explained by age differences. Because measures of processing speed reflect a plethora of cognitive and motivational processes, it…
Descriptors: Intelligence, Aging (Individuals), Age Differences, Individual Differences
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