aeif_psc_delta - Current-based adaptive exponential integrate-and-fire  
neuron model according to Brette and Gerstner (2005) with delta synapse.

aeif_psc_delta is the adaptive exponential integrate and fire neuron
according to Brette and Gerstner (2005), with post-synaptic currents
in the form of delta spikes.

This implementation uses the embedded 4th order Runge-Kutta-Fehlberg
solver with adaptive stepsize to integrate the differential equation.

The membrane potential is given by the following differential equation:
C dV/dt= -g_L(V-E_L)+g_L*Delta_T*exp((V-V_T)/Delta_T)+I(t)+I_e


tau_w * dw/dt= a(V-E_L) -W

I(t) = J Sum_k delta(t - t^k).

Here delta is the dirac delta function and k indexes incoming
spikes. This is implemented such that V_m will be incremented/decremented by
the value of J after a spike.

C_m double - Capacity of the membrane in pF
t_ref double - Duration of refractory period in ms.
V_reset double - Reset value for V_m after a spike. In mV.
E_L double - Leak reversal potential in mV.
g_L double - Leak conductance in nS.
I_e double - Constant external input current in pA.

Spike adaptation parameters:
a double - Subthreshold adaptation in nS.
b double - Spike-triggered adaptation in pA.
Delta_T double - Slope factor in mV
tau_w double - Adaptation time constant in ms
V_th double - Spike initiation threshold in mV
V_peak double - Spike detection threshold in mV.

Integration parameters
gsl_error_tol double - This parameter controls the admissible error of the
GSL integrator. Reduce it if NEST complains about
numerical instabilities.

SpikeEvent, CurrentEvent, DataLoggingRequest  


Brette R and Gerstner W (2005) Adaptive Exponential  
Integrate-and-Fire Model as an Effective Description of
Neuronal Activity. J Neurophysiol 94:3637-3642

Mikkel Elle Lepperød adapted from aeif_psc_exp and iaf_psc_delta  

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