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Pasquale Cardellicchio; Sara Borgomaneri – npj Science of Learning, 2025
The consolidation process stabilizes a new initially labile memory. This consolidation could operate on a shorter timescale during wakefulness after initial motor learning. Within micro-offline learning states, sequences of simple individual actions learned through interleaved practice are condensed into a unified skill through a time-dependent…
Descriptors: Brain, Brain Hemisphere Functions, Genetics, Cognitive Processes
Xinyue Wang; Kelong Lu; Yingyao He; Xinuo Qiao; Zhenni Gao; Yu Zhang; Ning Hao – npj Science of Learning, 2024
Gestures accent and illustrate our communication. Although previous studies have uncovered the positive effects of gestures on communication, little is known about the specific cognitive functions of different types of gestures, or the instantaneous multi-brain dynamics. Here we used the fNIRS-based hyperscanning technique to track the brain…
Descriptors: Nonverbal Communication, Brain Hemisphere Functions, Cognitive Processes, Social Behavior
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
Nurit Viesel-Nordmeyer; Jérôme Prado – npj Science of Learning, 2023
There are large individual differences in arithmetic skills. Although a number of brain-wide association studies have attempted to identify the neural correlates of these individual differences, studies have focused on relatively small sample sizes and have yielded inconsistent results. In the current voxel-based morphometry study, we merged six…
Descriptors: Children, Adolescents, Arithmetic, Skills
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
Mei Grace Behrendt; Carrie Clark; McKenna Elliott; Joseph Dauer – npj Science of Learning, 2024
Metacognitive calibration--the capacity to accurately self-assess one's performance--forms the basis for error detection and self-monitoring and is a potential catalyst for conceptual change. Limited brain imaging research on authentic learning tasks implicates the lateral prefrontal and anterior cingulate brain regions in expert scientific…
Descriptors: Metacognition, Undergraduate Students, Biological Sciences, Brain Hemisphere Functions
Gloria G. Parras; José M. Delgado-García; Juan Carlos López-Ramos; Agnès Gruart; Rocío Leal-Campanario – npj Science of Learning, 2024
Learning is a functional state of the brain that should be understood as a continuous process, rather than being restricted to the very moment of its acquisition, storage, or retrieval. The cerebellum operates by comparing predicted states with actual states, learning from errors, and updating its internal representation to minimize errors. In…
Descriptors: Brain Hemisphere Functions, Animals, Responses, Classical Conditioning
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
Yuan Liu; Shuaifei Huang; Weiguo Xu; Zhuang Wang; Dong Ming – npj Science of Learning, 2024
Generalization is central to motor learning. However, few studies are on the learning generalization of BCI-actuated supernumerary robotic finger (BCI-SRF) for human-machine interaction training, and no studies have explored its longitudinal neuroplasticity mechanisms. Here, 20 healthy right-handed participants were recruited and randomly assigned…
Descriptors: Man Machine Systems, Robotics, Brain Hemisphere Functions, Psychomotor Skills
Elsa Raynal; Kate Schipper; Catherine Brandner; Paolo Ruggeri; Jérôme Barral – npj Science of Learning, 2024
Associative learning abilities vary considerably among individuals, with attentional processes suggested to play a role in these variations. However, the relationship between attentional processes and individual differences in associative learning remains unclear, and whether these variations reflect in event-related potentials (ERPs) is unknown.…
Descriptors: Associative Learning, Attention, Cognitive Processes, Individual Differences
Yang Fu; Xiaohui Yan; Jiaqi Mao; Haibin Su; Fan Cao – npj Science of Learning, 2024
Reading difficulty (RD) is associated with phonological deficits; however, it remains unknown whether the phonological deficits are different in children and adults with RD as reflected in foreign speech perception and production. In the current study, using functional Near-infrared spectroscopy (fNIRS), we found less difference between Chinese…
Descriptors: Reading Difficulties, Adults, Children, Brain Hemisphere Functions
Julia M. Rodriguez Buritica; Ben Eppinger; Hauke R. Heekeren; Eveline A. Crone; Anna C. K. van Duijvenvoorde – npj Science of Learning, 2024
Observational learning is essential for the acquisition of new behavior in educational practices and daily life and serves as an important mechanism for human cognitive and social-emotional development. However, we know little about its underlying neurocomputational mechanisms from a developmental perspective. In this study we used model-based…
Descriptors: Observational Learning, Individual Differences, Children, Young Adults
Gaia Olivo; Jonas Persson; Martina Hedenius – npj Science of Learning, 2024
Developmental dyslexia (DD) is defined as difficulties in learning to read even with normal intelligence and adequate educational guidance. Deficits in implicit sequence learning (ISL) abilities have been reported in children with DD. We investigated brain plasticity in a group of 17 children with DD, compared with 18 typically developing (TD)…
Descriptors: Dyslexia, Brain, Children, Training
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
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)