Innovation in Language Learning

Neurological researchers have recently revealed their findings about increasingly common and sophisticated role of Artificial neural networks (ANN^s). That applied for systematic realistic modeling of interdisciplinary discipline incorporating neuroscience, education, and cognitive sciences. Accordingly, ANN Models vary in relation to the nature of assigned brain functioning to be modeled.  For example, as human learning takes place according to received stimuli that is simulated realistically through self-organization paradigm by artificial neural networks modeling. This piece of research adopts the conceptual approach of (ANN) models inspired by functioning of highly specialized biological neurons in reading brain based on the organization the brain's structures/substructures.  Additionally, in accordance with the prevailing concept of individual intrinsic characterized properties of highly specialized neurons, presented models closely correspond to performance of these neurons for developing reading brain in a significant way. More specifically, introduced models concerned with their important role played in carrying out cognitive brain function' outcomes. The cognitive goal for reading brain is to translate that orthographic word-from into a spoken word (phonological word-form). In this context herein, the presented work illustrates via ANN simulation results: How ensembles of highly specialized neurons could be dynamically involved in performing the cognitive function of developing reading brain.