Models that contain the Implementer : Antunes, Gabriela [gabri_antunes at]

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    Models   Description
1.  AMPA receptor trafficking and its role in heterosynaptic plasticity (Antunes et al 2018)
"... cumulative experimental and theoretical data have demonstrated that long-term potentiation (LTP) and long-term depression (LTD) can promote compensatory alterations in non-stimulated synapses. In this work, we have developed a (MCELL) computational model of a (3D) spiny dendritic segment to investigate the role of AMPA receptor (AMPAR) trafficking during synaptic plasticity at specific synapses and its consequences for the populations of AMPAR at nearby synapses. Our results demonstrated that the mechanisms of AMPAR trafficking involved with LTP and LTD can promote heterosynaptic plasticity at non-stimulated synapses. These alterations are compensatory and arise from molecular competition. Moreover, the heterosynaptic changes observed in our model can modulate further activity-driven inductions of synaptic plasticity." The model requires an installed version of MCell and CellBlender.
2.  Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012)
Many cellular processes involve small number of molecules and undergo stochastic fluctuations in their levels of activity. Among these processes is cerebellar long-term depression (LTD), a form of synaptic plasticity expressed as a reduction in the number of synaptic AMPA receptors (AMPARs) in Purkinje cells. Using a stochastic model of the signaling network and mechanisms of AMPAR trafficking involved in LTD, we show that the network activity in single synapses switches between two discrete stable states (LTD and non-LTD). Stochastic fluctuations affecting more intensely the level of activity of a few components of the network lead to the probabilistic induction of LTD and threshold dithering. The non-uniformly distributed stochasticity of the network allows the stable occurrence of several different macroscopic levels of depression, determining the experimentally observed sigmoidal relationship between the magnitude of depression and the concentration of the triggering signal.

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