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Updated: Oct 8, 2025

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Data Acquisition Protocol for Determining Embedded Sensitivity Functions
Published on: April 20, 2016
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The evolution of quantitative sensitivity
Margaret A H Bryer1,2, Sarah E Koopman3, Jessica F Cantlon1
1Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Summary
This study reveals that brain neuron density and general cognitive abilities predict how precisely animals represent approximate quantities. These findings highlight evolutionary constraints on cognition across different species.
Area of Science:
- Comparative cognition
- Evolutionary neuroscience
- Animal behavior
Background:
- The ability to represent approximate quantities is widespread across species, but its evolutionary drivers and underlying mechanisms are not well understood.
- Understanding the factors influencing quantity representation can provide insights into cognitive evolution.
Purpose of the Study:
- To investigate the phylogenetic and proximate factors influencing quantity discrimination abilities in birds and mammals.
- To identify which cognitive, socioecological, and biological factors predict variations in the precision of quantity representation.
Main Methods:
- A novel Bayesian model was employed, integrating phylogenetic regression with number psychophysics and random effects.
- Data from 49 studies, encompassing 672 subjects across 33 bird and mammal species, were analyzed.
- The Weber fraction, a measure of quantity representation precision, was calculated for each species.
Main Results:
- Phylogeny significantly influenced quantity discrimination performance across taxa.
- Cortical neuron density and domain-general cognitive abilities were identified as the strongest predictors of the Weber fraction, even after controlling for phylogenetic effects.
- The study demonstrated a relationship between species-specific neuron density and a specific cognitive ability.
Conclusions:
- Evolutionary constraints play a role in shaping cognitive abilities like quantity representation.
- Cortical neuron density is a key biological factor associated with the precision of approximate number systems.
- This research offers a novel perspective on the interplay between neurobiology, cognition, and evolution.
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