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Related Experiment Video

Updated: May 26, 2026

Appetitive Associative Olfactory Learning in Drosophila Larvae

Appetitive Associative Olfactory Learning in Drosophila Larvae

Published on: February 18, 2013

A neuronal network switch for approach/avoidance toggled by appetitive state.

Keiko Hirayama¹, Rhanor Gillette

¹Neuroscience Program, University of Illinois, 524 Burrill Hall, 407 South Goodwin Avenue, Urbana, IL 61801, USA. khiraya2@illinois.edu

Current Biology : CB

|December 27, 2011

Summary

Scientists studied cost/benefit decisions in the sea slug Pleurobranchaea. They found the feeding motor network controls approach/avoidance based on appetite, offering a model for value-based decisions.

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Area of Science:

Neuroscience
Animal Behavior
Computational Biology

Background:

Cost/benefit decision-making is crucial for survival but poorly understood at the neuronal circuit level.
Appetitive state, integrating sensation, internal state, and memory, underlies these decisions.
Simple model systems offer opportunities to study the neural basis of value-based choices.

Purpose of the Study:

To investigate the neural mechanisms of cost/benefit decisions in the predatory sea slug Pleurobranchaea.
To determine how appetitive state is represented and influences approach/avoidance behaviors.
To model a fundamental decision-making module within a neuronal circuit.

Main Methods:

Studied fictive motor output in the isolated central nervous system (CNS) of Pleurobranchaea.
Quantified feeding thresholds and correlated them with behavioral outputs.
Manipulated the excitation state of the feeding motor network to observe effects on decision-making.

Main Results:

The feeding motor network's excitation state directly reflected the animal's appetitive state.
Network activity varied with feeding thresholds, influencing orienting (approach) or avoidance behaviors.
Artificial excitation of the feeding network shifted avoidance responses to orienting responses.

Conclusions:

The feeding motor network in Pleurobranchaea embodies appetitive state and controls approach/avoidance decisions.
This network acts as a basic cost/benefit decision module, toggling behavior via premotor network configuration.
The findings provide a model for understanding the evolution of valuation circuits in more complex animals.