To understand the molecular methods by which synapse formation occurs, it is critical to know the mechanisms by which all the synaptic components can possibly arrive at a newly forming synapse. Methods of trafficking can range from diffusion through the cytoplasm or in the plasma membrane to exo/endocytic cycling between bouts of transport along microtubules. In the case of the postsynaptic density (PSD) of glutamatergic synapses, it appears that many of the necessary proteins arrive separately and by different means. Here we examine the modes of transport and recruitment of a number of postsynaptic components to newly forming, glutamatergic synapses.
In a first effort a simulator is realized that is able to generate and simulateneuron networks using a semi-statistical approach. The resulting diffusion-reactiontype equation systems are solved in a scalable way using HPC resources.The forward simulator builds the basis to investigate the network dynamics inherentin individual realizations of semi-statistical generated networks. Furthermoreinverse modelling will be important to fit measured electrophysiological networkactivity to simulated model network activity.Since no definitive information about the innervation is present we investigate severalinnervation scenarios in relation to the network response. Network activation isanalyzed with regard to biophysically relevant quantities such as subthresholdresponse, number of activated synapses as well as spike output of the VPM-activated network.