title: Glutamate-AMPAR interaction in a model of synaptic transmission.
abstract: Over the last several years we have investigated the excitatory synaptic response by means of a mathematical model based on a detailed description of the synapse geometry, the Brownian motion of Glutamate molecules and their binding to postsynaptic receptors. Recently, the basic model has been modified for the numbers, the size and the 3D structure of receptors according to new data from the literature. Some results of simulations performed with the updated model are shown here. They were aimed to study the synaptic response in relation to the binding probability, to the probable height of the receptors in the synaptic cleft, and to the space-time distribution of Glutamate/Receptor collisions. A first series of simulations permitted to determine a possible range of values for the binding probability of Glutamate to receptors. Other simulations, investigating the changes induced on the synaptic response by the variations of the height of AMPA receptors in synaptic cleft, allowed to identify the height producing the higher amplitude peak of the mEPSCs. Finally, two new statistical descriptors for analyzing the synaptic response were presented. The first is based on the study of the space distribution of the number of Glutamate/Receptor collisions. Simulations investigating the effects of an increasing eccentricity of the releasing vesicle allowed assessing this method. The second one considers the inter-collision times between Glutamate molecules and binding sites. The results of some of the last simulations demonstrated its capacity to highlight the subtleties and the randomness underlying the activation of the receptors. This article is part of a Special Issue entitled Neural Coding 2012.
authors: Istituto di Cibernetica "E. Caianiello" del CNR, Via Campi Flegrei 34, 80078 Pozzuoli (NA), Italy. Electronic address: franco@ulisse.cib.na.cnr.it.
authors: Francesco
authors: F
authors: Ventriglia
authors: Vito
authors: V
authors: Di Maio
mesh_terms: D003198:Computer Simulation; D019706:Excitatory Postsynaptic Potentials; D018698:Glutamic Acid / Q000378:metabolism*; D008959:Models, Neurological; D018091:Receptors, AMPA / Q000378:metabolism*; D009435:Synaptic Transmission
chemical_list: D018091:Receptors, AMPA; D018698:Glutamic Acid
keywords: Binding probability; Computer simulation; Glutamate synaptic response; Synaptic parameters