When knowing can replace seeing in audiovisual integration of actions.

Cognition

Department of Psychology, University of Glasgow, 58 Hillhead Street, Glasgow, G12 8QB Scotland, United Kingdom.

Published: March 2009

The ability to predict the effects of actions is necessary to behave properly in our physical and social world. Here, we describe how the ability to predict the consequence of complex gestures can change the way we integrate sight and sound when relevant visual information is missing. Six drummers and six novices were asked to judge audiovisual synchrony for drumming point-light displays where the visual information was manipulated to eliminate or include the drumstick-drumhead impact point. In the condition with only the arm information novices were unable to detect asynchrony whereas drummers were able to. Additionally, in the conditions that included the impact point drummers perceived the best alignment when the sight preceded the sound, while in the arm only condition they perceived the best alignment when the sound occurred together with or preceded the sight, as it would be expected if they were predicting the beat occurrence. Taken together these findings suggest that humans can acquire, through practice, internal models of action which can be used to replace missing information when integrating multisensory signals from the environment.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.cognition.2008.11.015DOI Listing

Publication Analysis

Top Keywords

ability predict
8
impact point
8
perceived best
8
best alignment
8
knowing replace
4
replace audiovisual
4
audiovisual integration
4
integration actions
4
actions ability
4
predict effects
4

Similar Publications

Objectives: The 2022 European Society of Cardiology and European Respiratory Society (ESC/ERS) Guidelines for pulmonary arterial hypertension (PAH) recommend risk stratification to optimize management. However, the performance of generic PAH risk stratification tools in patients with systemic sclerosis (SSc)-associated PAH remains unclear. Our objective was to identify the most accurate approach for risk stratification at SSc-PAH diagnosis.

View Article and Find Full Text PDF

Objectives: To analyze the CT imaging features of extranodal natural killer/T (NK/T)-cell lymphoma, nasal type (ENKTCL-NT) involving the gastrointestinal tract (GI), and to compare them with those of Crohn's disease (CD) and diffuse large B-cell lymphoma (DLBCL).

Materials And Methods: Data were retrospectively collected from 17 patients diagnosed with GI ENKTCL-NT, 68 patients with CD, and 47 patients with DLBCL. The CT findings of ENKTCL-NT were analyzed and compared with those of CD and DLBCL.

View Article and Find Full Text PDF

Family Size across the Life Course and Cognitive Decline in Older Mexican Adults.

J Gerontol B Psychol Sci Soc Sci

January 2025

College of Health Solutions, Arizona State University, Phoenix, AZ, USA.

Objectives: A growing body of research has identified associations between family size and cognition in older adults. These studies largely focus on older adults' own fertility history instead of sibship size, defined as one's number of siblings. Sibship size may impact cognitive development during early childhood, creating differences that may persist into late-life.

View Article and Find Full Text PDF

Background: While alcohol has been shown to impair eye movements in young adults, little is known about alcohol-induced oculomotor impairment in older adults with longer histories of alcohol use. Here, we examined whether older adults with chronic alcohol use disorder (AUD) exhibit more acute tolerance than age-matched light drinkers (LD), evidenced by less alcohol-induced oculomotor impairment and perceived impairment.

Method: Two random-order, double-blinded laboratory sessions with administration of alcohol (0.

View Article and Find Full Text PDF

Background: Computed tomography angiography (CTA) is used to screen for coronary artery calcification. As the coronary artery has complicated structure and tiny lumen, manual screening is a time-consuming task. Recently, many deep learning methods have been proposed for the segmentation (SEG) of coronary artery and calcification, however, they often neglect leveraging related anatomical prior knowledge, resulting in low accuracy and instability.

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!