Design Partition in an Active to Imbalanced Excitation/Inhibition Hippocampus Neural Arrange

Abstract

Data storage in the hippocampus depends critically on the dentate gyrus's effective design division. In our demonstration, recent data on the entorhinal cortex, dentate gyrus, and hippocampus anatomy and function in design division are combined. A three-layer feed-forward spiking neural network is constructed. with streamlined synaptic and molecular processes that takes inspiration from the hippocampus of rodents. constructing a spiking neural network that can distinguish between patterns of excitation and inhibition ratio imbalances brought on by various levels of stimulation or network damage is the goal of the project. This study presents a unique idea on the molecular processes behind the dentate gyrus neurons' resistance to damage to synapses and connections, which leads to an unbalanced excitation-inhibition activity of neurons. This simplified molecular and cellular putative mechanism-based spiking neural network shows effective knowledge storage at various degrees of stimulation and can be used in cognitive robots.