Performance Improvement of Reading Brain Function Considering Quantified Analysis of Highly Specialized Neurons: A Neural Networks Approach

Performance Improvement of Reading Brain Function Considering Quantified Analysis of Highly Specialized Neurons: A Neural Networks Approach

This study uses the (ANN) model concept, which is inspired by the functioning of highly specialised biological neurons in the reading brain and is focused on the organisation of the brain’s structures/substructures. Furthermore, the presented models closely correspond to the output of these neurons for developing the reading brain in a significant way, in accordance with the prevalent definition of individual intrinsically characterised properties of highly specialised neurons. More specifically, models were introduced that were concerned with their crucial role in achieving cognitive brain function outcomes. The reading brain’s cognitive aim is to convert the orthographic word into a spoken word (phonological word form). In this sense, the presented work demonstrates the following via ANN simulation results: How ensembles of highly specialised neurons can be dynamically involved in the development of the reading brain’s cognitive function. This research demonstrates how a flock of neurons interacts with each other to perform a specific common function (reading) through visual and auditory brain areas.

Author (s) Details

Hassan M. H. Mustafa
Department of Educational Technology, Banha University, Egypt.

View Book :- https://stm.bookpi.org/NICST-V10/article/view/584

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