ModelDB: Multimodal stimuli learning in hawkmoths (Balkenius et al. 2008)

Multimodal stimuli learning in hawkmoths (Balkenius et al. 2008)

Accession: 116312

The moth Macroglossum stellatarum can learn the color and sometimes the odor of a rewarding food source. We present data from 20 different experiments with different combinations of blue and yellow artificial flowers and the two odors, honeysuckle and lavender. ... Three computational models were tested in the same experimental situations as the real moths and their predictions were compared with the experimental data. ... Neither the Rescorla–Wagner model nor a learning model with independent learning for each stimulus component were able to explain the experimental data. We present the new hawkmoth learning model, which assumes that the moth learns a template for the sensory attributes of the rewarding stimulus. This model produces behavior that closely matches that of the real moth in all 20 experiments.
Reference: Balkenius A, Kelber A, Balkenius C (2008) How Do Hawkmoths Learn Multimodal Stimuli? A Comparison of Three Models Adaptive Behavior 16:349-360

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Model Information (Click on a link to find other models with that property)

Model Type:
Brain Region(s)/Organism:	hawkmoth Deilephila elpenor;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	C or C++ program (web link to model);
Model Concept(s):	Simplified Models; Learning; Action Selection/Decision Making;
Implementer(s):

Model files (located externally to ModelDB) Help downloading and running models

This it the readme for the model associated with the paper:

How Do Hawkmoths Learn Multimodal Stimuli? A Comparison of Three Models
Anna Balkenius, Almut Kelber, and Christian Balkenius
Adaptive Behavior 2008;16 349-360

Usage:

To compile the C++ program you can use any ansi compiler.  For example
with linux you can type:

g++ fisher.cc macroglossum.cpp
./a.out > output.tex

You can then use latex, dvipdf, to produce an output.pdf file containing the results of
running the simulations:

latex output.tex
dvipdf output.dvi
acroread output.pdf

The model files are available from the authors at:

http://www.lucs.lu.se/downloads/macroglossum_models.zip

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