Name:	slowEPSP
Purpose:	The slow EPSP model described in Bertrand PP, Thomas EA, Kunze WAA, Bornstein JC: A simple mathematical model of second messenger mediated slow excitatory post-synaptic potentials. Journal of Computational Neuroscience. (2000) 8(2):127-142
Provided by:	_p3.c
Source:	dyn_spsp.c
Examples:	test_AH.py, test_sepsp.py
Inherits:	Dynamics
Constructor:	slowEPSP()
Provides:	current, derivs, acceptor and enq as described in PyDynamics Name Type Attributes Description Gmax float RW maximum conductance Er float RW reversal potential alpha float RW coupling constant beta1 float RW decay rate of stage 1 beta2 float RW decay rate of stage 2 beta3 float RW decay rate of stage 3 export_current bool RW if set to True current is calculated by this Dynamics, otherise this Dynamics can be used to modulate another one (eg gKCa in ActionPotential dsm2, dsm3 float RW state variables (diffusible second messenger concentrations) ddsm2dt, ddsm3dt float RW derivative of the state variables dsm2Trace, dsm3Trace list of floats RO trace history of the state variables