Computational model of excitatory/inhibitory ratio imbalance role in attention deficit disorders.

Journal of Computational Neuroscience
Reyhaneh BakhtiariHossein Esteky

Abstract

Impairments in attentional behaviors, including over-selectivity, under-selectivity, distractibility and difficulty in shift of attention, are widely reported in several developmental disorders, including autism. Uncharacteristic inhibitory to excitatory neuronal number ratio (IER) and abnormal synaptic strength levels in the brain are two broadly accepted neurobiological disorders observed in autistic individuals. These neurobiological findings are contrasting and their relation to the atypical attentional behaviors is not clear yet. In this paper, we take a computational approach to investigate the relation of imbalanced IER and abnormal synaptic strength to some well-documented spectrum of attentional impairments. The computational model is based on a modified version of a biologically plausible neural model of two competing minicolumns in IT cortex augmented with a simple model of top-down attention. Top-down attention is assumed to amplify (attenuates) attended (unattended) stimulus. The inhibitory synaptic strength parameter in the model is set such that typical attentional behavior is emerged. Then, according to related findings, the parameter is changed and the model's attentional behavior is considered. The simulation ...Continue Reading

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Citations

Mar 20, 2015·Frontiers in Computational Neuroscience·Hamed Seyed-Allaei
Dec 9, 2014·Frontiers in Neuroscience·Safa Yaghini BonabiMajid Nili Ahmadabadi

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