A computational model of the growth of dendritic spines with synaptic plasticity

The spines on the dendrites of neurons have many biophysical functions such as increasing the surface area of the dendrites and increasing the input resistance of neuron. It is known that synaptic plasticity is effective in the formation and growth of spines. In this work, a computational model of growth of dendritic spines due to synaptic plasticity is presented. The proposed model is built with spiking neural networks and synaptic dynamics. In the model, the change of synaptic weights is achieved with synaptic plasticity, and the growth of dendritic spines can be demonstrated by using this change.