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A Model of Selection between Stimulus and Place Strategy in a Hawkmoth (Balkenius et al. 2004)
Accession: 116313
"In behavioral experiments, the hawkmoth Deilephila elpenor can learn both the color and the position of artificial flowers. ... 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."
References:
1. Balkenius A, Kelber A, Balkenius C (2004) A model of selection between stimulus and place strategy in a hawkmoth Adaptive Behavior 12(1):21-35
2. Balkenius A, Kelber A, Balkenius C (2002) Simulations of Learning and Behaviour in the Hawkmoth Deilephila elpenor Animals to Animats 7, Hallam, et al., ed.
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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):  Learning;
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Lund University Cognitive Science

Note from the ModelDB Administrator: The below was a copy of the web page http://www.lucs.lu.se/Downloads/ accessed Nov. 13th, 2008. The 2004 Deilphila Source Code can be compiled and run under linux with the commands:
g++ Deilphila.cc
./a.out 1
./a.out 2
./a.out 3

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Software by Christian Balkenius:

Ikaraos Ikaraos Download Page An infrastructure for system-level brain modeling. Authors: Contributions by more than 20 people. Added 2003-11-21
Macoglossum Source Code C++ Source Source code for simulations reported at SAB06. Authors: Christian Balkenius and Anna Balkenius. Added 2006-10-21
Deilephila Source Code C++ Source Source code for simulations reported at SAB02 and in Adaptive Behavior, 2003. Authors: Christian Balkenius and Anna Balkenius. Added 2003-07-24
GridLearning Mac OS 9 A simple reinforcement learning implementation. Written in 1996.
BERRY III Mac OS 9 Simulator used in my PhD thesis. Written in 1993-1995. IMPORTANT: Use the NO-FPU version on OS X with Classic. Unlikely to run on any computer as of 2008.
BERRY III Source Code THINK Pascal This is the source code for BERRY III written in Object Pascal. It uses many features of now discontinued THINK Pascal and is unlikely to compile with anything else. An incomplete C++ port of some parts is included.

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