The time course of implicit and explicit concept learning.

Conscious Cogn

Department of Psychology, Faculty of Philosophy, Education & Psychology, School of Philosophy, University of Ioannina, Dourouti, 451 10 Ioannina, Greece.

Published: March 2012

The present experiment investigated the development of implicit and explicit knowledge during concept learning. According to Cleeremans and Jiménez (2002), the content of a representation can be conscious only when the representation is of a sufficiently good quality; on this theory, increasing explicit and decreasing implicit knowledge might be expected with training. The view that implicit knowledge arises from compilation of explicit knowledge makes the opposite prediction. The present research tested these possibilities using subjective measures based on confidence ratings. One group of participants was presented with blocks of category exemplars that activated prior knowledge, whereas another group was presented with blocks of categories that did not elicit any useful prior knowledge. The results showed that, irrespective of the knowledge group participants were allocated to, explicit knowledge increased over the course of learning, whereas implicit knowledge either stayed the same or decreased, consistent with Cleeremans and Jiménez's prediction.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.concog.2011.12.008DOI Listing

Publication Analysis

Top Keywords

explicit knowledge
12
implicit knowledge
12
knowledge
9
implicit explicit
8
concept learning
8
group participants
8
presented blocks
8
prior knowledge
8
knowledge group
8
implicit
5

Similar Publications

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 PDF

Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality retrieval task to match a person across different spectral camera views. Most existing works focus on learning shared feature representations from the final embedding space of advanced networks to alleviate modality differences between visible and infrared images. However, exclusively relying on high-level semantic information from the network's final layers can restrict shared feature representations and overlook the benefits of low-level details.

View Article and Find Full Text PDF

Binge eating disorder recognition and stigma among an adult community sample.

J Eat Disord

January 2025

Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels, Université Laval, 2440, boulevard Hochelaga Québec, Quebec, G1V 0A6, Canada.

Background: Despite being the most prevalent eating disorder, Binge eating disorder (BED) remains largely unrecognized and lacks awareness among the general public, where it is also highly stigmatized. Common stigma surrounding BED includes the belief that individuals with this disorder are responsible for their condition and lack willpower and self-control. Research on BED recognition and stigma among lay adults is scarce.

View Article and Find Full Text PDF

Contextual cues can be used to predict the likelihood of and reduce interference from salient distractors.

Atten 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 PDF

Evidence-based policymaking has increased policymakers' capacity to make scientifically informed health policy decisions. However, reaping the benefits of this approach requires avoiding untrustworthy research - potential sources of which are predatory journals. In this study, we sought to understand how research cited in policy documents is sourced and evaluated, and identify factors that may be contributing to the citation of predatory journals or other less trustworthy evidence.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!