Literature DB >> 27097925

The development of newborn object recognition in fast and slow visual worlds.

Justin N Wood1, Samantha M W Wood2.   

Abstract

Object recognition is central to perception and cognition. Yet relatively little is known about the environmental factors that cause invariant object recognition to emerge in the newborn brain. Is this ability a hardwired property of vision? Or does the development of invariant object recognition require experience with a particular kind of visual environment? Here, we used a high-throughput controlled-rearing method to examine whether newborn chicks (Gallus gallus) require visual experience with slowly changing objects to develop invariant object recognition abilities. When newborn chicks were raised with a slowly rotating virtual object, the chicks built invariant object representations that generalized across novel viewpoints and rotation speeds. In contrast, when newborn chicks were raised with a virtual object that rotated more quickly, the chicks built viewpoint-specific object representations that failed to generalize to novel viewpoints and rotation speeds. Moreover, there was a direct relationship between the speed of the object and the amount of invariance in the chick's object representation. Thus, visual experience with slowly changing objects plays a critical role in the development of invariant object recognition. These results indicate that invariant object recognition is not a hardwired property of vision, but is learned rapidly when newborns encounter a slowly changing visual world.
© 2016 The Author(s).

Entities:  

Keywords:  Gallus gallus; controlled rearing; high-throughput; invariant object recognition; slowness

Mesh:

Year:  2016        PMID: 27097925      PMCID: PMC4855384          DOI: 10.1098/rspb.2016.0166

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  45 in total

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4.  Some views are better than others: evidence for a visual bias in object views self-generated by toddlers.

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Journal:  Dev Sci       Date:  2014-01-11

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Authors:  Irving Biederman
Journal:  Psychol Rev       Date:  1987-04       Impact factor: 8.934

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Authors:  Nuo Li; James J DiCarlo
Journal:  Neuron       Date:  2010-09-23       Impact factor: 17.173

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Journal:  Annu Rev Neurosci       Date:  1996       Impact factor: 12.449

8.  Face perception in monkeys reared with no exposure to faces.

Authors:  Yoichi Sugita
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-02       Impact factor: 11.205

9.  A model of the ventral visual system based on temporal stability and local memory.

Authors:  Reto Wyss; Peter König; Paul F M J Verschure
Journal:  PLoS Biol       Date:  2006-04-18       Impact factor: 8.029

10.  A chicken model for studying the emergence of invariant object recognition.

Authors:  Samantha M W Wood; Justin N Wood
Journal:  Front Neural Circuits       Date:  2015-02-26       Impact factor: 3.492

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  2 in total

1.  Automated Study Challenges the Existence of a Foundational Statistical-Learning Ability in Newborn Chicks.

Authors:  Samantha M W Wood; Scott P Johnson; Justin N Wood
Journal:  Psychol Sci       Date:  2019-10-15

2.  A Developmental Approach to Machine Learning?

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