Communication theoretical modeling and analysis of tripartite synapses with astrocytes in synaptic molecular communication

Abstract

Astrocytes, the most abundant glial cells in brain, being in physical proximity of pre- and postsynaptic terminals of the chemical synapse, form tripartite synapses. The feedback from astrocytes introduces synaptic plasticity, which modulates information transmission through neurons. Various other synaptic events also cause plasticity, hence combining them in a single model is quite challenging. In this paper, we study the combined effect of short-term depression (STD) and long-term potentiation (LTP) on vesicle release process in a tripartite synapse. STD decreases the release probability due to slower replenishment rates of releasable vesicles, whereas LTP is due to the positive feedback from astrocytes that increases release probability. Thus, we evaluate vesicle release probability and mutual information between input spikes and vesicle release to quantify the effects of STD and LTP on information transmission. Moreover, the effect of different synaptic parameters such as number of releasable vesicles, input spike rate and replenishment rate of the vesicles, is analyzed on information transmission. It is observed that release probability is predominantly affected by LTP, however, presence of STD decreases the achievable average mutual information over time. Furthermore, the synapses with higher number of releasable vesicles are observed to become stronger with time.