| Models | Description |
1. |
A Model of Selection between Stimulus and Place Strategy in a Hawkmoth (Balkenius et al. 2004)
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"In behavioral experiments, the hawkmoth Deilephila elpenor can learn both the
color and the position of artificial flowers.
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We show how a computational model can reproduce the behavior in the experimental situation.
The aim of the model is to investigate which learning and behavior selection strategies are
necessary to reproduce the behavior observed in the experiment.
The model is based on behavioral data and the sensitivities of the moth photoreceptors.
The model consists of a number of interacting behavior systems that are triggered by
specific stimuli and control specific behaviors.
The ability of the moth to learn the colors of different flowers and the adaptive processes involved
in the choice between stimulus-approach and place-approach strategies are reproduced very accurately by the model.
The model has implications both for further studies of the ecology of the animal and for robotic systems."
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2. |
Multimodal stimuli learning in hawkmoths (Balkenius et al. 2008)
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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.
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Three computational models were tested in the same experimental situations as the real
moths and their predictions were compared with the experimental data.
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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. |