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Video-oculography in Mice
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Neural correlates of visual object recognition in rats.

Juliana Y Rhee1, César Echavarría2, Edward Soucy2

  • 1The Rockefeller University, New York, NY 10065, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.

Cell Reports
|March 28, 2025
PubMed
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Rats demonstrate robust visual object recognition, identifying objects despite changes in size or rotation. This study explores the neural pathways in rat brains, revealing similarities and differences compared to primates for visual perception.

Area of Science:

  • Neuroscience
  • Comparative Psychology
  • Visual Perception

Background:

  • Invariant object recognition is crucial for navigating dynamic environments.
  • While studied in primates, rodents also show object recognition across transformations.
  • Understanding the neural basis in rodents offers insights into general perception mechanisms.

Purpose of the Study:

  • To demonstrate robust visual object recognition in rats.
  • To investigate the neural pathways underlying this capacity in the rat visual cortex.
  • To compare rat visual processing with primate models.

Main Methods:

  • Developed a high-throughput behavioral training pipeline for rats.
  • Utilized cellular-resolution imaging in awake, head-fixed animals.
Keywords:
CP: Neuroscienceextrastriate cortexhigh-throughput behaviorobject recognitionratrodent visiontwo-photon imagingventral streamvisual cortexvisual perception

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  • Systematically profiled neurons in primary and higher-order visual areas.

    • Main Results:

    • Rats exhibit robust invariant object recognition.
    • Rat visual cortex shares features with primate ventral stream but shows deviations.
    • Identified spatial organization of neurons in rat visual areas.

    Conclusions:

    • Rats possess sophisticated visual object recognition abilities.
    • Rat visual cortex presents species-specific differences in visual processing compared to primates.
    • This work establishes a technical foundation for using rats as a model for mechanistic perception research.