Abstract
This project uses the vesicular glutamate transporter 1-pHluorin fluorescent reporter to examine synaptic vesicle release in rat hippocampus neurons. The primary objective is to evaluate time series data of mean fluorescence intensity measurements taken before and after stimulation in a neuroscience experiment across different regions of interest, identifying underlying patterns in the data by building autoregressive integrated moving average models. The methods aim to reveal patterns within the data by using decomposition analysis to understand hidden trends, “seasonal” fluctuations, and relationships between fluorescence intensity metrics. Results demonstrate notable seasonal patterns and temporal dependencies, indicating that Seasonal Autoregressive Integrated Moving Average models are necessary to analyze electrically stimulated neuronal activity.