Expressive models for synaptic plasticity

  • Authors:
  • Andrea Bracciali;Marcello Brunelli;Enrico Cataldo;Pierpaolo Degano

  • Affiliations:
  • Dipartimento di Informatica, Università di Pisa, Italia;Dipartimento di Biologia, Università di Pisa, Italia;Dipartimento di Biologia, Università di Pisa, Italia;Dipartimento di Informatica, Università di Pisa, Italia

  • Venue:
  • CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
  • Year:
  • 2007

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Abstract

We explore some presynaptic mechanisms of the calyx of Held synapse through a stochastic model. The model, drawn from a kinetic approach developed in literature, exploits process calculi as formal grounds, enjoys nice compositional properties, has a direct computational implementation that supports simulation trials, and, to our knowledge, represents the first process calculi based model of a presynaptic terminal. Simulation results have shown coherence with experimental data and robustness against sensitivity analysis. The core model has been extended in order to address some issues related to open problems: we discuss hypotheses on short-term synaptic enhancement (facilitation) and depression, i.e. plasticity mechanism that are related to memory and learning. The two aims of our work, i.e. addressing neural mechanisms and validating and possibly improving, process calculi based modeling techniques are discussed throughout the paper, together with the results of experiments.