Transcript Computational modeling of an early evolutionary stage of

Computational modeling of an early
evolutionary stage of
the nervous system
The main questions
How did the nervous system and the most primitive forms
of intelligence came into being ?
How a system can be organized during evolution that is able to
ensure the adaptive behavior of a being ?
What are the basic rules of construction that are sufficient to
create a workable nervous system without specifying the details
of the construction ?
Introduction
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Artificial life
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Computational neuroethology
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Adaptive behavior
The animat and its environment
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Anatomy
Histology
Genetics
Environment
Anatomy
Evolution of the nervous system are not separable from the
anatomy and morphogenesis of the modeled animal
The animat is a tube-like organism which is similar to the body
structure of a Hydra whit most primitive nervous system and
without tentacles
Histology
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Epithelial cells
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Muscle cells
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Nerve cells
Genetics
The basic information about the construction and functioning of
animats are encoded in a genome
Environment
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The environment is modeled as a box
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The stimulus is the appearance of a piece of food
Experiments
Parameters :
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Time and space-constant of the epithelial cells
and nerve cells
Number of nerve cells
Maximum length of neural processes
Time-constant and space-constant
Number of nerve cells
length of the processes
Summary
Efficiency of conductivity
Adaptivity of behavior
A possible direction of evolution :
Epithelial cells
Creation of nerve cells
Increasing
the number of nerve cells
Increasing the time- And
space-constant of nerve cells
Action potential