Quantified Analysis and Evaluation of Highly Specialized Neurons' Role in Developing Reading Brain (Neural Networks Approach) (original) (raw)

Abstract

Neurological researchers have recently revealed their findings about increasingly common and sophisticated role of the sixth computer (natural intelligence) generation namely, Artificial neural networks (ANNs). This computer generation is relevantly applicable to implement realistic learning models originated from interdisciplinary discipline incorporating neuroscience, education, and cognitive sciences. Consequently, implemented realistic models have diverse structural paradigms, in consequence with natural characterized features of brain functioning assigned for modeling. This paper specifically addressed an interdisciplinary research work problem originated from quantitative evaluation of neuronal mechanism for reading languages' preliminary phases. Briefly, it concentrates on a very interesting and challenging issue tightly associated to quantitative learning performance of vocabulary evaluation at early infancy of human brain, while that affected with mother's speech. T...

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