## An efficient method for computing synaptic conductances based on a kinetic
model of receptor binding

#### Alain Destexhe, Zachary F. Mainen and Terrence J. Sejnowski

Neural Computation 6: 14-18, 1994

## Abstract:

Reasonable biophysical assumptions about synaptic transmission allow the
equations for a simple kinetic synapse model to be solved analytically. This
yields a mechanism that preserves the advantages of kinetic models while being
as fast to compute as a single alpha -function. Moreover, this mechanism
accounts implicitly for saturation and summation of multiple synaptic events,
obviating the need for event queuing. The authors have presented a method by
which synaptic conductances can be computed with low computational expense.
The kinetic approach provides a natural means to describe the behavior of
synapses in a way that handles the interaction of successive presynaptic
events. Under the same assumption that transmitter concentration occurs as a
pulse, more complex kinetic schemes can be treated. The 'kinetic synapse' can
thus be generalized to give various conductance time courses with
multiexponential rise and decay phases, without sacrificing the efficiency of
the first-order model.

This tar file creates a directory containing a demo for running the
models of synaptic receptors using the Interviews version of the NEURON
simulator. The simulation reproduce the figures of the
Neural Computation paper and the J. Comput.
Neurosci. paper (above), in which all details are given.
See also SYN.tar.Z
and SYN.ZIP.
This package shows how to implement biophysical models of synaptic
interactions using NEURON. Both detailed and simplified models of synaptic
currents and most useful types of postsynaptic receptors (AMPA, NMDA, GABA_A,
GABA_B, neuromodulators) are described in a reference paper. We provide here
the complement to simulate the same models using NEURON. The reference paper
is a chapter in the book "Methods in Neuronal Modeling":

Destexhe, A., Mainen, Z.F. and Sejnowski,
T.J.

Kinetic models of synaptic transmission.

In: * Methods in
Neuronal Modeling *, 2nd Edition, Edited by Koch, C. and Segev, I., MIT
Press, Cambridge, MA, 1997 (in press)

in which all details are given. More instructions are provided in a README
file.

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