scholarly journals Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition

2013 ◽  
pp. 89-117
Author(s):  
Jeroen C. Chua ◽  
Inmar E. Givoni ◽  
Ryan P. Adams ◽  
Brendan J. Frey
Keyword(s):  
Object Recognition ◽  
Invariant Object Recognition

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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