Newly trained lexical categories produce lateralized categorical perception of color.

Proc Natl Acad Sci U S A

State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.

Published: June 2010

Linguistic categories have been shown to influence perceptual discrimination, to do so preferentially in the right visual field, to fail to do so when competing demands are made on verbal memory, and to vary with the color-term boundaries of different languages. However, because there are strong commonalities across languages in the placement of color-term boundaries, the question remains open whether observed categorical perception for color can be entirely a result of learned categories or may rely to some degree on innate ones. We show here that lateralized color categorical perception can be entirely the result of learned categories. In a visual search task, reaction times to targets were faster in the right than the left visual field when the target and distractor colors, initially sharing the same linguistic term (e.g., "blue"), became between-category colors after training (i.e., when two different shades of blue had each acquired a new name). A control group, whose conditions exactly matched those of the experimental group except that no new categories were introduced, did not show this effect, establishing that the effect was not dependent on increased familiarity with either the color stimuli or the task. The present results show beyond question that lateralized categorical perception of color can reflect strictly learned color categories, even artificially learned categories that violate both universal tendencies in color naming and the categorization pattern of the language of the subject.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2890491PMC
http://dx.doi.org/10.1073/pnas.1005669107DOI Listing

Publication Analysis

Top Keywords

categorical perception
16
perception color
12
learned categories
12
lateralized categorical
8
visual field
8
color-term boundaries
8
entirely result
8
result learned
8
categories
7
color
7

Similar Publications

Listeners with hearing loss have trouble following a conversation in multitalker environments. While modern hearing aids can generally amplify speech, these devices are unable to tune into a target speaker without first knowing to which speaker a user aims to attend. Brain-controlled hearing aids have been proposed using auditory attention decoding (AAD) methods, but current methods use the same model to compare the speech stimulus and neural response, regardless of the dynamic overlap between talkers which is known to influence neural encoding.

View Article and Find Full Text PDF

Aim(s): To adapt and validate the HSOPS 2 instrument for the Italian context and to describe the current patient safety culture amongst healthcare personnel working in Italian hospitals.

Design: Cross-sectional study.

Methods: We adapted and validated the HSOPS 2 instrument following the COSMIN guidelines: we performed a forward-backward translation, calculated the content validity index, evaluated face validity, acceptability (percentage of participants responding to all items on the questionnaire and to every specific item), construct validity (confirmatory factor analysis), and internal consistency (Cronbach's alpha for each dimension).

View Article and Find Full Text PDF

Background: In Italy, the anti-Human Papillomavirus (HPV) vaccination campaign began in 2008. To date, despite the effectiveness and safety of HPV vaccines, coverage among Italian adolescents is still suboptimal. Evidence suggests that different factors could influence parents' choices regarding their children's vaccination uptake.

View Article and Find Full Text PDF

Beyond Averaging: A Transformer Approach to Decoding Event Related Brain Potentials.

Neuroimage

January 2025

Department of Computer Science, University of Innsbruck, Technikerstrasse 21a, Innsbruck, 6020, Austria. Electronic address:

The objective of this study is to assess the potential of a transformer-based deep learning approach applied to event-related brain potentials (ERPs) derived from electroencephalographic (EEG) data. Traditional methods involve averaging the EEG signal of multiple trials to extract valuable neural signals from the high noise content of EEG data. However, this averaging technique may conceal relevant information.

View Article and Find Full Text PDF

Factors Influencing Knowledge-Action Gap in Patients With Metabolic Dysfunction-Associated Fatty Liver Disease: A Qualitative Study.

J Nutr Educ Behav

January 2025

Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, China. Electronic address:

Objective: To explore the knowledge-action gap regarding health behaviors and their influencing factors among patients with metabolic dysfunction-associated fatty liver disease (MAFLD), using the Health Belief Model as a theoretical framework.

Design: A qualitative approach was adopted, involving semistructured interviews with individuals with MAFLD.

Setting: Participants were recruited from a community hospital and a tertiary hospital in Nanjing, China, between July and October 2022.

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!