Literature DB >> 16472311

Gaze following: why (not) learn it?

Jochen Triesch1, Christof Teuscher, Gedeon O Deák, Eric Carlson.   

Abstract

We propose a computational model of the emergence of gaze following skills in infant-caregiver interactions. The model is based on the idea that infants learn that monitoring their caregiver's direction of gaze allows them to predict the locations of interesting objects or events in their environment (Moore & Corkum, 1994). Elaborating on this theory, we demonstrate that a specific Basic Set of structures and mechanisms is sufficient for gaze following to emerge. This Basic Set includes the infant's perceptual skills and preferences, habituation and reward-driven learning, and a structured social environment featuring a caregiver who tends to look at things the infant will find interesting. We review evidence that all elements of the Basic Set are established well before the relevant gaze following skills emerge. We evaluate the model in a series of simulations and show that it can account for typical development. We also demonstrate that plausible alterations of model parameters, motivated by findings on two different developmental disorders - autism and Williams syndrome - produce delays or deficits in the emergence of gaze following. The model makes a number of testable predictions. In addition, it opens a new perspective for theorizing about cross-species differences in gaze following.

Entities:  

Mesh:

Year:  2006        PMID: 16472311     DOI: 10.1111/j.1467-7687.2006.00470.x

Source DB:  PubMed          Journal:  Dev Sci        ISSN: 1363-755X


  46 in total

1.  To Model or Not to Model? A Dialogue on the Role of Computational Modeling in Developmental Science.

Authors:  Vanessa R Simmering; Jochen Triesch; Gedeon O Deák; John P Spencer
Journal:  Child Dev Perspect       Date:  2010-08

2.  Hand-Eye Coordination Predicts Joint Attention.

Authors:  Chen Yu; Linda B Smith
Journal:  Child Dev       Date:  2017-02-10

3.  Reward processing in autism.

Authors:  Ashley A Scott-Van Zeeland; Mirella Dapretto; Dara G Ghahremani; Russell A Poldrack; Susan Y Bookheimer
Journal:  Autism Res       Date:  2010-04       Impact factor: 5.216

4.  Applying machine learning to infant interaction: the development is in the details.

Authors:  Daniel M Messinger; Paul Ruvolo; Naomi V Ekas; Alan Fogel
Journal:  Neural Netw       Date:  2010-09-21

5.  Acute oxytocin improves memory and gaze following in male but not female nursery-reared infant macaques.

Authors:  Elizabeth A Simpson; Annika Paukner; Valentina Sclafani; Stefano S K Kaburu; Stephen J Suomi; Pier F Ferrari
Journal:  Psychopharmacology (Berl)       Date:  2016-11-11       Impact factor: 4.530

6.  Exploring Infant Gesture and Joint Attention as Related Constructs and as Predictors of Later Language.

Authors:  Virginia C Salo; Meredith L Rowe; Bethany Reeb-Sutherland
Journal:  Infancy       Date:  2018-02-06

7.  Visual search and attention to faces during early infancy.

Authors:  Michael C Frank; Dima Amso; Scott P Johnson
Journal:  J Exp Child Psychol       Date:  2013-11-06

8.  Rule learning in autism: the role of reward type and social context.

Authors:  E J H Jones; S J Webb; A Estes; G Dawson
Journal:  Dev Neuropsychol       Date:  2013       Impact factor: 2.253

9.  Altered microstructure within social-cognitive brain networks during childhood in Williams syndrome.

Authors:  Brian W Haas; Naama Barnea-Goraly; Kristen E Sheau; Bun Yamagata; Shruti Ullas; Allan L Reiss
Journal:  Cereb Cortex       Date:  2013-05-24       Impact factor: 5.357

10.  Neural evidence for an association between social proficiency and sensitivity to social reward.

Authors:  Anna Gossen; Sarah E Groppe; Lina Winkler; Gregor Kohls; John Herrington; Robert T Schultz; Gerhard Gründer; Katja N Spreckelmeyer
Journal:  Soc Cogn Affect Neurosci       Date:  2013-03-19       Impact factor: 3.436

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.