Abstract:
Recent studies have shed light on the bidirectional communication between astrocytes and neurons for the brain's normal functioning. This bidirectional communication is thought to be occurring through the Calcium-dependent release of gliotransmitters. Anup and Nadkarni (1) have described a detailed biophysical model that can quantitatively describe this gliotransmitter release by a single astrocyte process in response to a wide range of synaptic activity. This project aims to reproduce the results of the work done by Anup and Nadkarni by implementing the model using python. Since this is a learning project, the report was divided into two modules (for ease of reporting). The first module simulates the classic Hodgkin-Huxley model of neuronal spiking, followed by the Li-Rinzel model for calcium dynamics in neurons and its stochastic modelling in the 2nd module.
