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Visual categorization shapes feature selectivity in the primate temporal cortex

Author

Listed:
  • Natasha Sigala

    (Max Planck Institute for Biological Cybernetics)

  • Nikos K. Logothetis

    (Max Planck Institute for Biological Cybernetics)

Abstract

The way that we perceive and interact with objects depends on our previous experience with them. For example, a bird expert is more likely to recognize a bird as a sparrow, a sandpiper or a cockatiel than a non-expert1. Neurons in the inferior temporal cortex have been shown to be important in the representation of visual objects; however, it is unknown which object features are represented and how these representations are affected by categorization training. Here we show that feature selectivity in the macaque inferior temporal cortex is shaped by categorization of objects on the basis of their visual features. Specifically, we recorded from single neurons while monkeys performed a categorization task with two sets of parametric stimuli. Each stimulus set consisted of four varying features, but only two of the four were important for the categorization task (diagnostic features). We found enhanced neuronal representation of the diagnostic features relative to the non-diagnostic ones. These findings demonstrate that stimulus features important for categorization are instantiated in the activity of single units (neurons) in the primate inferior temporal cortex.

Suggested Citation

  • Natasha Sigala & Nikos K. Logothetis, 2002. "Visual categorization shapes feature selectivity in the primate temporal cortex," Nature, Nature, vol. 415(6869), pages 318-320, January.
  • Handle: RePEc:nat:nature:v:415:y:2002:i:6869:d:10.1038_415318a
    DOI: 10.1038/415318a
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    Cited by:

    1. Sacha Bourgeois-Gironde & Catherine Tallon-Baudry & Florent Meyniel, 2011. "Fast and Automatic Activation of an Abstract Representation of Money in the Human Ventral Visual Pathway," Post-Print ijn_00713469, HAL.
    2. Xiaofu He & Zhiyong Yang & Joe Z Tsien, 2011. "A Hierarchical Probabilistic Model for Rapid Object Categorization in Natural Scenes," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-15, May.

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