Estimating the dissipative factors of synaptic exocytosis in Drosophila using a filter based reverse engineering method

The SNARE-regulated exocytosis is an important molecular level mechanism for the persistent inter-neuronal communication via plasticity of neurons. Without considering the dissipation of synaptic vesicle, the explanation of the inter-neuronal communication via plasticity of neurons in existing models cannot fully account for the persistence of neuronal plasticity. In this paper the dissipative factors CPX and SYT corresponding to unbinding neurotransmitters fused with the membrane are estimated using a reverse engineering method where the dynamic flux is embedded in the filtering model of synaptic transmission. With the CPX and SYT in the corresponding regulation mechanism of exocytosis being estimated, the dissipation function of synaptic vesicle for the persistence of neuronal plasticity is explicitly expressed.