The majority of cognitive processes show measurable change over the lifespan. However, some argue that implicit learning from environmental structure is development invariant [e.g., Muelemans et al. [1998] Experimental Child Psychology, 69, 199-221; Reber [1993] Implicit learning and tacit knowledge: An essay on the cognitive unconscious. Oxford University Press], while others have shown that adults learn faster than children [Thomas et al. [2004] Journal of Cognitive Neuroscience, 16, 1339-1351]. In two experiments, we tested infants through adults using the same saccade latency measure and behavioral learning paradigm. We examined implicit learning when subjects are presented with interleaved regularities acting on one item, as well as the ability to adjust behavior when learned information is violated. In one comparison, the first- (item frequencies) and second- (spatiotemporal item relations) order statistics are in conflict, allowing us to examine flexibility in learning from multiple parameters. Data from Experiment 1 (N = 90, 6- to 30-year olds) showed no developmental differences in either implicit learning from environmental regularity or flexibility of learning from conflicting parameters across our age range. Accuracy data showed that children are especially sensitive to low frequency relative to high frequency items. In Experiment 2, we showed that 7- to 11-month-old infants had a saccade latency profile that was consistent with task structure, that is, they simultaneously learned both item frequencies and spatiotemporal relations, as indicated by data patterns similar to those obtained in Experiment 1. Taken together, these data provide support for developmental invariance in implicit learning from environmental regularities.
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Mol Autism
January 2025
Department of Special Education, University of Haifa, Haifa, Israel.
Background: Alterations in sensory perception, a core phenotype of autism, are attributed to imbalanced integration of sensory information and prior knowledge during perceptual statistical (Bayesian) inference. This hypothesis has gained momentum in recent years, partly because it can be implemented both at the computational level, as in Bayesian perception, and at the level of canonical neural microcircuitry, as in predictive coding. However, empirical investigations have yielded conflicting results with evidence remaining limited.
View Article and Find Full Text PDFAnn Dyslexia
January 2025
Developmental and Educational Psychology Department, Universidad de Granada, Granada, Spain.
Recent research suggests that performance on Statistical Learning (SL) tasks may be lower in children with dyslexia in deep orthographies such as English. However, it is debated whether the observed difficulties may vary depending on the modality and stimulus of the task, opening a broad discussion about whether SL is a domain-general or domain-specific construct. Besides, little is known about SL in children with dyslexia who learn transparent orthographies, where the transparency of grapheme-phoneme correspondences might reduce the reliance on implicit learning processes.
View Article and Find Full Text PDFJ Microbiol Biol Educ
January 2025
Office of Inclusion and Institutional Equity, Towson University, Towson, Maryland, USA.
The Diffusion of Innovations (DOI) model can be used to explore how faculty prioritize learning about and adopting new pedagogical approaches. Here, we use the DOI framework to contextualize biology faculty perceptions of a professional development (PD) program designed to help them create a full semester course-based undergraduate research experience (CURE) class at a large, public comprehensive university. PD sessions included exploring self-reflexive identity while fostering inclusive classroom spaces through understanding and interrupting implicit bias and microaggressions.
View Article and Find Full Text PDFAtten Percept Psychophys
January 2025
Department of Psychology, The Ohio State University, 1835 Neil Ave, Columbus, OH, 43210, USA.
Our attention can sometimes be disrupted by salient but irrelevant objects in the environment. This distractor interference can be reduced when distractors appear frequently, allowing us to anticipate their presence. However, it remains unknown whether distractor frequency can be learned implicitly across distinct contexts.
View Article and Find Full Text PDFJ Neurophysiol
January 2025
KU Leuven, Department of Movement Sciences, B-3000 Leuven, Belgium.
In motor adaptation, learning is thought to rely on a combination of several processes. Two of these are implicit learning (incidental updating of the movement due to sensory prediction error) and explicit learning (intentional adjustment to reduce target error). The explicit component is thought to be fast adapting, while the implicit one is slow.
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