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Felipe Pedraza; Bence C. Farkas; Teodóra Vékony; Frederic Haesebaert; Romane Phelipon; Imola Mihalecz; Karolina Janacsek; Royce Anders; Barbara Tillmann; Gaën Plancher; Dezso Németh – npj Science of Learning, 2024
The ability of the brain to extract patterns from the environment and predict future events, known as statistical learning, has been proposed to interact in a competitive manner with prefrontal lobe-related networks and their characteristic cognitive or executive functions. However, it remains unclear whether these cognitive functions also possess…
Descriptors: Learning Processes, Statistics, Executive Function, Relationship
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Yue Li; Mikael Johansson; Andrey R. Nikolaev – npj Science of Learning, 2025
Contextual shifts are crucial for episodic memory, setting event boundaries during event segmentation. While lab research provides insights, it often lacks the complexity of real-world experiences. We addressed this gap by examining perceptual and conceptual boundaries using virtual reality (VR). Participants acted as salespeople, interacting with…
Descriptors: Memory, Computer Simulation, Context Effect, Adults
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Limor Shtoots; Asher Nadler; Roni Partouche; Dorin Sharir; Aryeh Rothstein; Liran Shati; Daniel A. Levy – npj Science of Learning, 2024
Evidence implicating theta rhythms in declarative memory encoding and retrieval, together with the notion that both retrieval and consolidation involve memory reinstatement or replay, suggests that post-learning theta rhythm modulation can promote early consolidation of newly formed memories. Building on earlier work employing theta neurofeedback,…
Descriptors: Memory, Brain Hemisphere Functions, Stimulation, Cognitive Processes
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Yafeng Pan; Ning Hao; Ning Liu; Yijie Zhao; Xiaojun Cheng; Yixuan Ku; Yi Hu – npj Science of Learning, 2023
It is said that our species use mnemonics -- that "magic of memorization" -- to engrave an enormous amount of information in the brain. Yet, it is unclear how mnemonics affect memory and what the neural underpinnings are. In this electroencephalography study, we examined the hypotheses whether mnemonic training improved…
Descriptors: Mnemonics, Cognitive Processes, Training, Memory
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Lena S. Geiger; Torsten Wüstenberg; Zhenxiang Zang; Mirjam Melzer; Stephanie H. Witt; Marcella Rietschel; Markus M. Nöthen; Stefan Herms; Franziska Degenhardt; Andreas Meyer-Lindenberg; Carolin Moessnang – npj Science of Learning, 2024
Procedural learning and automatization have widely been studied in behavioral psychology and typically involves a rapid improvement, followed by a plateau in performance throughout repeated training. More recently, brain imaging studies have implicated frontal-striatal brain circuits in skill learning. However, it is largely unknown whether…
Descriptors: Cognitive Processes, Brain Hemisphere Functions, Short Term Memory, Behavior Patterns
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Zhijun Liao; Xiya Ao; Yulu Sun; Manli Zhang; Xiangzhi Meng – npj Science of Learning, 2024
Applying 10 Hz ([alpha]-rate) sensory stimulation, not 5 Hz ([theta]-rate), prior to introducing novel speech-print pairs can reset the phase of [theta] oscillations and enhance associative learning. This rapid gain indicates coordinated mechanisms to regulate attentional/cognitive resources ([alpha] oscillations) and facilitate memory storage…
Descriptors: Sensory Experience, Stimulation, Associative Learning, Attention Control
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Wuji Lin; Chenxi Lv; Jiejie Liao; Yuan Hu; Yutong Liu; Jingyuan Lin – npj Science of Learning, 2024
The debate about whether the capacity of working memory (WM) varies with the complexity of memory items continues. This study employed novel experimental materials to investigate the role of complexity in WM capacity. Across seven experiments, we explored the relationship between complexity and WM capacity. The results indicated that the…
Descriptors: Short Term Memory, Difficulty Level, Retention (Psychology), Test Items
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Francesco Pupillo; Javier Ortiz-Tudela; Rasmus Bruckner; Yee Lee Shing – npj Science of Learning, 2023
Expectations can lead to prediction errors of varying degrees depending on the extent to which the information encountered in the environment conforms with prior knowledge. While there is strong evidence on the computationally specific effects of such prediction errors on learning, relatively less evidence is available regarding their effects on…
Descriptors: Prediction, Error Patterns, Memory, Cognitive Processes
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Julia Ericson; Torkel Klingberg – npj Science of Learning, 2023
A key goal in cognitive training research is understanding whether cognitive training enhances general cognitive capacity or provides only task-specific improvements. Here, we developed a quantitative model for describing the temporal dynamics of these two processes. We analyzed data from 1300 children enrolled in an 8 week working memory training…
Descriptors: Cognitive Processes, Training, Children, Short Term Memory
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Taewon Kim; Hakjoo Kim; Benjamin A. Philip; David L. Wright – npj Science of Learning, 2024
The primary motor cortex (M1) is crucial for motor skill learning. We examined its role in interleaved practice, which enhances retention (vs. repetitive practice) through M1-dependent consolidation. We hypothesized that cathodal transcranial direct current stimulation (ctDCS) to M1 would disrupt retention. We found that ctDCS reduced retention…
Descriptors: Perceptual Motor Learning, Brain Hemisphere Functions, Cognitive Processes, Retention (Psychology)
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Yicong Zheng; Pengyuan Sun; Xiaonan L. Liu – npj Science of Learning, 2023
Numerous studies have shown that learned information practiced by testing is better retained than that practiced by restudying (the testing effect). However, results are inconsistent regarding the effect of working memory (WM) capacity on the testing effect. Here, we hypothesize that the effect of WM only emerges when task demands challenge WM…
Descriptors: Short Term Memory, Retention (Psychology), Cognitive Processes, Undergraduate Students
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Linlin Dong; Yufeng Ke; Xiaodong Zhu; Shuang Liu; Dong Ming – npj Science of Learning, 2025
Mental rotation, a crucial aspect of spatial cognition, can be improved through repeated practice. However, the long-term effects of combining training with non-invasive brain stimulation and its neurophysiological correlates are not well understood. This study examined the lasting effects of a 10-day mental rotation training with high-definition…
Descriptors: Spatial Ability, Cognitive Ability, Long Term Memory, Drills (Practice)
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Michael Batashvili; Rona Sheaffer; Maya Katz; Yoav Doron; Noam Kempler; Daniel A. Levy – npj Science of Learning, 2022
Studies of reconsolidation interference posit that reactivation of a previously consolidated memory via a reminder brings it into an active, labile state, leaving it open for potential manipulation. If interfered with, this may disrupt the original memory trace. While evidence for pharmacological reconsolidation interference is widespread, it…
Descriptors: Memory, Recall (Psychology), Interference (Learning), Cognitive Processes
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Vanessa Frei; Nathalie Giroud – npj Science of Learning, 2025
Ageing is associated with elevated pure-tone thresholds, accompanied by increased difficulties in understanding speech-in-noise. While amplification provides important, but insufficient support, auditory-cognitive training (ACT) might propose a solution. However, generalized effects have been scarce, highlighting the necessity of training designs…
Descriptors: Older Adults, Auditory Perception, Auditory Training, Listening Comprehension
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Joey Ka-Yee Essoe; Nicco Reggente; Ai Aileen Ohno; Younji Hera Baek; John Dell'Italia; Jesse Rissman – npj Science of Learning, 2022
Memory is inherently context-dependent: internal and environmental cues become bound to learnt information, and the later absence of these cues can impair recall. Here, we developed an approach to leverage context-dependence to optimise learning of challenging, interference-prone material. While navigating through desktop virtual reality (VR)…
Descriptors: Memory, Context Effect, Cues, Computer Simulation
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