On Behavioural Dynamics Evaluation of Glial Cells Role in Comparison with Brain Neurons Functions Using Artificial Neural Networks. (Conceptual view) By

This conceptual research paper motivated by investigational topic concerned with functional role of glial cells in human nervous system.That considered topic is characterized by its extremely interesting and timely issue.Additionally,it is classified as interdisciplinary research work directed to investigational study of natural human intelligence functions (learning and memory). The main objective of this article is to evaluate quantitatively behavioural dynamics of glial cells in comparison with brain neurons functions. So, as this work classified to belong to some interdisciplinary brain research work, it specifically interrelates: developmental brain neurobiology, genetic engineering, and artificial neural network ANN. Moreover, presented work herein, concerned mainly with performance of learning processes and there convergence. In more details, it adopts interrelations among three interdisciplinary research approaches. Firstly, investigational analysis and evaluations of glial brain cells role in performing of memory and learning brain function. Secondly, experimental genetic engineering work directed to build up more intelligent (brainier) animals. Thirdly, dynamical communications patterns for synaptic plasticity, that is carried out using neural networks modeling and biophysical mechanisms. Noting that last approach is closely related to the issue of initial intelligence state before training in artificial neural network. So, a conventional ANN model is presented, obeying an error correction paradigm, with considerable modifications of two synaptic plasticity parameters. Hence, that model seems be relevant to simulate realistically behavioural dynamics of glial cells role. Finally, analogy between environmental noise effect on learning process, and relative density of glial cells to number of neurons is presented. Key words