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Related Experiment Video

Updated: Apr 19, 2026

Foraging Path-length Protocol for Drosophila melanogaster Larvae

Foraging Path-length Protocol for Drosophila melanogaster Larvae

Published on: April 23, 2016

Optimal Foraging Requires Coordinating Decisions with Movements.

Clara Saleri^1,2, Gislène Gardechaux^3,2, Alexandre Foncelle^3,2

¹University Claude Bernard Lyon 1, Lyon 69000, France clara.saleri@inserm.fr david.thura@inserm.fr.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience

|April 17, 2026

Summary

Coordinating decision-making and movement vigor optimizes reward intake rate in primates. This study shows that linking choices and actions is crucial for maximizing foraging efficiency.

Keywords:

decision-making foraging monkey motor control optimality reward rate

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Last Updated: Apr 19, 2026

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Area of Science:

Neuroscience
Behavioral Economics
Primate Cognition

Background:

Decision-making and motor execution are influenced by time and energy constraints, involving cost-benefit analyses.
Previous research suggests joint regulation for maximizing reward rate, but decoupling and compensatory modulation also occur.

Purpose of the Study:

To investigate whether decision-action coordination is an optimal strategy for maximizing reward rate or a suboptimal adaptation.
To determine if primate brain unifies decision-making and motor execution for optimal reward intake.

Main Methods:

Trained three macaque monkeys (two males, one female) on a reaching-based foraging task.
Analyzed behavioral adjustments in decision-action coordination during the task.

Main Results:

Monkey behavior aligned with strategies approximating optimal reward intake rate at the single-trial level.
Coordination between decision duration and movement vigor was essential for optimizing reward rate.

Conclusions:

Behavioral and theoretical evidence indicates that coordinating decisions and movements is necessary for economic optimization.
Findings offer insights into decision-movement coordination principles and link neural computations to motivational control.