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Context affects the numerical semantic congruity effect in rhesus monkeys (Macaca mulatta).
Sarah M Jones1, Jessica F Cantlon, Dustin J Merritt
1Department of Psychology and Neuroscience and Center for Cognitive Neuroscience, Duke University, Durham, NC 27708-0999, United States. sarah.m.jones@duke.edu
Monkeys anchor numerical judgments based on context, similar to humans. This study reveals a shared numerical comparison process across species, influencing decision-making.
Area of Science:
- Cognitive Science
- Comparative Psychology
- Neuroscience
Background:
- Numerical cognition research often explores abstract number representations.
- Understanding cross-species numerical processing can illuminate fundamental cognitive mechanisms.
- Macaque monkeys offer a valuable model for investigating primate numerical abilities.
Purpose of the Study:
- To investigate whether monkeys anchor their numerical judgments based on the contextual range of stimuli.
- To explore the influence of semantic congruity and numerical context on decision-making in macaques.
- To provide evidence for shared numerical comparison processes between monkeys and humans.
Main Methods:
- Macaque monkeys were trained on a conditional discrimination task involving ordering dot arrays.
- Numerical ranges were varied across sessions to establish contextual effects.
- Decision time was measured to assess the impact of semantic congruity and numerical context.
Main Results:
- A semantic congruity effect was observed, where decision time depended on the match between the cue and numerical magnitude.
- Monkeys exhibited a context effect: decision time for a given pair varied based on the overall range of numerosities presented.
- This context effect suggests numerical judgments are anchored by the surrounding numerical environment.
Conclusions:
- Monkeys, like humans, anchor their numerical judgments within a given context.
- The findings support the existence of a shared, context-dependent numerical comparison process in primates.
- This research deepens our understanding of the evolution and fundamental nature of numerical cognition.
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