Synaptic transmissions are known to regulate the properties of Ca2+ -oscillation in neurons, but the assessment of biophysical parameters underlying neurodegenerative conditions remains challenging. Specifically, establishing an in vivo or in vitro model for neurodegeneration and high-resolution imaging requires expensive infrastructure. Hence, to complement the experimental investigations, there is a requirement to develop an in silico simulation framework that can be used to mimic the synaptic transmission and Ca2+ spiking under diseased conditions. While network models for neuronal firing exist, limited investigations depict the Ca2+ wave propagation in neuronal populations. Since Ca2+ -transients reflect the pathological state of the cells, we chose to model the Ca2+-dynamics for the characterization of the system. In this work, first, we have developed an ODE-system-based biophysical model that generates Ca2+-waves in a population of interconnected neurons for both soma and dendrites. Secondly, we demonstrate that the model can be used to depict the irregular Ca2+-spiking patterns in case of loss of connectivity as well as hyper-connectivity. Additionally, we identified that the various burst patterns are controlled through the level of glutamate activation by the number of neighboring neurons, leading to complex Ca2+-oscillations. Overall, the proposed model can potentially be used for in silico analysis of neuroprotective drugs that may potentially modulate the Ca2+-spiking pattern associated with diseased conditions. © 2023 IEEE.