scholarly journals The Development of Invariant Object Recognition Requires Visual Experience With Temporally Smooth Objects

2018 ◽  
Vol 42 (4) ◽  
pp. 1391-1406 ◽  
Author(s):  
Justin N. Wood ◽  
Samantha M. W. Wood
Keyword(s):  
Object Recognition ◽  
Visual Experience ◽  
Invariant Object Recognition ◽  
Smooth Objects

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

2016 ◽  
Vol 283 (1829) ◽  
pp. 20160166 ◽  
Author(s):  
Justin N. Wood ◽  
Samantha M. W. Wood
Keyword(s):  
Object Recognition ◽  
Object Representation ◽  
Visual Experience ◽  
Critical Role ◽  
Virtual Object ◽  
Object Representations ◽  
Newborn Brain ◽  
Specific Object ◽  
Controlled Rearing ◽  
Invariant Object Recognition

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.

Invariant object recognition using a neural template classifier

1996 ◽  
Vol 14 (7) ◽  
pp. 473-483 ◽  
Author(s):  
H.W. Tang ◽  
V. Srinivasan ◽  
S.H. Ong
Keyword(s):  
Object Recognition ◽  
Invariant Object Recognition

scholarly journals Marmoset invariant object recognition behavior mirrors that of humans and macaques at fine scale

2020 ◽  
Author(s):  
Alexander J.E. Kell ◽  
Sophie L. Bokor ◽  
You-Nah Jeon ◽  
Tahereh Toosi ◽  
Elias B. Issa
Keyword(s):  
Object Recognition ◽  
Model Organism ◽  
High Standard ◽  
Visual Object ◽  
Visual Object Recognition ◽  
Visual Neuroscience ◽  
Brain Functions ◽  
Invariant Object Recognition ◽  
Small Model ◽  
High Level

The marmoset—a small monkey with a flat cortex—offers powerful techniques for studying neural circuits in a primate. However, it remains unclear whether brain functions typically studied in larger primates can be studied in the marmoset. Here, we asked whether the 300-gram marmosets’ perceptual and cognitive repertoire approaches human levels or is instead closer to rodents’. Using high-level visual object recognition as a testbed, we found that on the same task marmosets substantially outperformed rats and generalized far more robustly across images, all while performing ∼1000 trials/day. We then compared marmosets against the high standard of human behavior. Across the same 400 images, marmosets’ image-by-image recognition behavior was strikingly human-like—essentially as human-like as macaques’. These results demonstrate that marmosets have been substantially underestimated and that high-level abilities have been conserved across simian primates. Consequently, marmosets are a potent small model organism for visual neuroscience, and perhaps beyond.

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