A model synapse that incorporates the properties of short-and long-term synaptic plasticity

Authors:
Armen R. Sargsyan;Albert A. Melkonyan;Costas Papatheodoropoulos;Hovhannes H. Mkrtchian;George K. Kostopoulos
Affiliations:
Neuronal Systems Mathematical Modelling Laboratory, Orbeli Institute of Physiology, Yerevan, Armenia;Neuronal Systems Mathematical Modelling Laboratory, Orbeli Institute of Physiology, Yerevan, Armenia;Neurophysiology Unit, Department of Physiology, Medical School, University of Patras, Patras 26500, Greece;Neuronal Systems Mathematical Modelling Laboratory, Orbeli Institute of Physiology, Yerevan, Armenia;Neurophysiology Unit, Department of Physiology, Medical School, University of Patras, Patras 26500, Greece
Venue:
Neural Networks
Year:
2003

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Abstract

We propose a general computer model of a synapse, which incorporates mechanisms responsible for the realization of both short- and long-term synaptic plasticity--the two forms of experimentally observed plasticity that seem to be very significant for the performance of neuronal networks. The model consists of a presynaptic part based on the earlier 'double barrier synapse' model, and a postsynaptic compartment which is connected to the presynaptic terminal via a feedback, the sign and magnitude of which depend on postsynaptic Ca2+ concentration. The feedback increases or decreases the amount of neurotransmitter which is in a ready for release state. The model adequately reproduced the phenomena of short- and long-term plasticity observed experimentally in hippocampal slices for CA3-CA1 synapses. The proposed model may be used in the investigation of certain real synapses to estimate their physiological parameters, and in the construction of realistic neuronal networks.