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Numerosity as a visual property: Evidence from two highly evolutionary distant species.

Mercedes Bengochea1, Bassem Hassan1

  • 1Institut du Cerveau-Paris Brain Institute (ICM), Sorbonne Université, Inserm, CNRS, Hôpital Pitié-Salpêtrière, Paris, France.

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Animals, including humans and flies, can estimate numbers, a crucial survival skill. This study explores the sensory basis of numerical processing and proposes a neural network for number sense in invertebrates.

Keywords:
fruit flieshumansneural circuitnumerosityvisual system

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Area of Science:

  • Neuroscience
  • Comparative Psychology
  • Sensory Biology

Background:

  • Animals possess numerical estimation abilities for survival advantages like resource selection and predator avoidance.
  • The neural basis of numerical processing is debated, with theories suggesting either high-order cognitive areas or visual sensory system involvement.
  • Recent findings indicate a role for sensory systems in magnitude estimation across species.

Purpose of the Study:

  • To highlight evidence for sensory involvement in numerical magnitude processing in humans and flies.
  • To discuss the utility of fruit flies as a model organism for dissecting neural circuits of numerical processing.
  • To propose a neural network model for number sense in invertebrates.

Main Methods:

  • Comparative analysis of numerical processing evidence across species.
  • Discussion of experimental approaches in fruit flies (Drosophila melanogaster).
  • Integration of experimental data with the fruit fly connectome.

Main Results:

  • Evidence suggests sensory systems contribute to processing numerical magnitudes.
  • Fruit flies offer a tractable system for investigating the neural underpinnings of number sense.
  • A potential neural network for invertebrate numerical processing is proposed.

Conclusions:

  • Numerical processing likely involves sensory pathways, challenging purely cognitive accounts.
  • Studying invertebrates like fruit flies can illuminate fundamental neural mechanisms of number sense.
  • The proposed neural network provides a framework for future research into the evolution of numerical cognition.