Modeling the Role of Gap Junctions in An Olfactory Neuropil, The Antennal Lobe

Gap junctions are a critical component of antennal lobe (AL) neural network and have been shown to have a significant role in processing and transmitting olfactory information. However, their precise function within the AL system is not fully understood. To bridge this knowledge gap, this study aims to use a combination of experimental and computational methods to model the role of gap junctions in the AL circuitry. The main objective is to create a computational model that accurately represents the gap junctions between local neurons and projection neurons in the AL. This biologically accurate model is designed to mimic the behavior of the AL neural network, with the goal of investigating how gap junctions affect the processing and transmission of olfactory information. Our study's findings highlight the crucial role played by gap junctions in synchronizing the activity of neurons within the AL circuitry. Our computational model offers a framework for better understanding the function of gap junctions in the AL network and can be used to assess their impact on olfactory processing in other insect species. In summary, our results contribute to a deeper comprehension of the functional organization of the olfactory system and may have implications for the development of strategies to control insects.