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Transcript
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

Artificial life

Computational neuroethology

Adaptive behavior
The animat and its environment




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

Epithelial cells

Muscle cells

Nerve cells
Genetics
The basic information about the construction and functioning of
animats are encoded in a genome
Environment

The environment is modeled as a box

The stimulus is the appearance of a piece of food
Experiments
Parameters :



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