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Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
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Neuronal factors determining high intelligence.

Ursula Dicke1, Gerhard Roth2

  • 1Brain Research Institute, University of Bremen, 28334 Bremen, Germany dicke@uni-bremen.de.

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Summary

Brain properties like neuron count and density, not just size, best predict intelligence across mammals and birds. This information processing capacity (IPC) explains why humans and apes rank high, while birds show surprising intelligence despite small brains.

Keywords:
brain sizecortex sizehigh intelligenceinformation processing capacitymammalsnumber of cortical neurons

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Area of Science:

  • Neuroscience
  • Comparative Psychology
  • Evolutionary Biology

Background:

  • Correlating animal and human intelligence with brain properties is a long-standing challenge.
  • Absolute and relative brain size are commonly studied but yield inconsistent correlations with intelligence.

Purpose of the Study:

  • To identify brain traits that best correlate with intelligence across diverse species.
  • To explain intelligence variations in mammals, birds, and humans.

Main Methods:

  • Analysis of brain properties including neuron count, packing density, interneuronal distance, and axonal conduction velocity.
  • Comparison of these traits with intelligence metrics across mammals and birds.

Main Results:

  • Information Processing Capacity (IPC), determined by neuron count, density, and speed, strongly correlates with intelligence.
  • Humans and great apes exhibit the highest IPC, followed by monkeys.
  • Birds (corvids, psittacids) show high intelligence due to densely packed pallial neurons, despite small brain volumes.
  • Language evolution in humans may have further amplified intelligence.

Conclusions:

  • Neuron-based Information Processing Capacity (IPC) is a better predictor of intelligence than brain size alone.
  • Convergent evolution may explain high intelligence in birds and humans through similar neural mechanisms and language.
  • Understanding these neural underpinnings offers insights into the evolution of cognition.