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ERIC Number: EJ1180803
Record Type: Journal
Publication Date: 2018-May
Pages: 16
Abstractor: As Provided
ISSN: ISSN-0364-0213
The Development of Invariant Object Recognition Requires Visual Experience with Temporally Smooth Objects
Wood, Justin N.; Wood, Samantha M. W.
Cognitive Science, v42 n4 p1391-1406 May 2018
How do newborns learn to recognize objects? According to temporal learning models in computational neuroscience, the brain constructs object representations by extracting smoothly changing features from the environment. To date, however, it is unknown whether newborns depend on smoothly changing features to build invariant object representations. Here, we used an automated controlled-rearing method to examine whether visual experience with smoothly changing features facilitates the development of view-invariant object recognition in a newborn animal model--the domestic chick ("Gallus gallus"). When newborn chicks were reared with a virtual object that moved smoothly over time, the chicks created view-invariant representations that were selective for object identity and tolerant to viewpoint changes. Conversely, when newborn chicks were reared with a temporally non-smooth object, the chicks developed less selectivity for identity features and less tolerance to viewpoint changes. These results provide evidence for a "smoothness constraint" on the development of invariant object recognition and indicate that newborns leverage the temporal smoothness of natural visual environments to build abstract mental models of objects.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: BCS1351892