This is a very simple one-compartment model of a neocortical regular
spiking pyramidal cell that, in addition to a fast sodium current and
delayed rectifier potassium current, uses a Muscarinic potassium current
(KM) in order to achieve spike frequency adaption. This model is based on
the paper and simulation by
Destexhe, A., Rudolph, M., Fellous, J. M. and Sejnowski, T. J.
Fluctuating synaptic conductances recreate in-vivo-like activity in
neocortical neurons. Neuroscience 107: 13-24 (2001).
The simplicity of the cell model makes it suitable for use in large network
models that need to run quickly.
The simulation is based on a sample script to create a neuron from a
specified cell parameter file, with channels taken from the prototypes
created by the file protodefs.g. It can be customized for another cell by
changing strings that are defined in the main script. When used with the
GUI functions defined in graphics.g, it allows a variety of pulsed current
injection and synaptic inputs to be applied.
The CONTROL PANEL of the GUI (defined in graphics.g) allows injection
current pulses to be applied to the cell, and/or synaptic activation to be
applied to the synchan that is specified in the string variable 'synpath'.
If the value of synpath is '' (empty), then the synaptic input form does
not appear. The injection may be turned on and off by clicking on the
'Current Injection ON/OFF' toggle.
In the synaptic input form, 'gmax' is used to set the gmax field of the
specied synchan. Poisson-distributed background activation can be applied
to the synchan by setting the 'Frequency' (the average activation
frequency) to a non-zero value. This sets the frequency field of the
synchan to that value. The 'Spike input ON/OFF' toggle turns on and off
the application of trains of spikes at the specified 'Spike interval'.