| Name: | aeif_cond_exp - Conductance based exponential integrate-and-fire neuron model according to Brette and Gerstner (2005).
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| Description: |
aeif_cond_exp is the adaptive exponential integrate and fire neuron
according to Brette and Gerstner (2005), with post-synaptic
conductances in the form of truncated exponentials.
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)-g_e(t)(V-E_e) -g_i(t)(V-E_i)-w +I_e
and
tau_w * dw/dt= a(V-E_L) -W
Note that the spike detection threshold V_peak is automatically set to
V_th+10 mV to avoid numerical instabilites that may result from
setting V_peak too high.
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| Parameters: |
The following parameters can be set in the status dictionary.
Dynamic state variables:
V_m double - Membrane potential in mV
g_ex double - Excitatory synaptic conductance in nS.
g_in double - Inhibitory synaptic conductance in nS.
w double - Spike-adaptation current in pA.
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Membrane | Parameters: |
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_t double - Spike initiation threshold in mV
V_peak double - Spike detection threshold in mV.
Synaptic parameters
E_ex double - Excitatory reversal potential in mV.
tau_syn_ex double - Rise time of excitatory synaptic conductance in ms (exp function).
E_in double - Inhibitory reversal potential in mV.
tau_syn_in double - Rise time of the inhibitory synaptic conductance in ms (exp function).
Integration parameters
gsl_error_tol double - This parameter controls the admissible error of the GSL integrator.
Reduce it if NEST complains about numerical instabilities.
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| Author: | Adapted from aeif_cond_alpha by Lyle Muller
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| Sends: | SpikeEvent
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| Receives: | SpikeEvent, CurrentEvent, DataLoggingRequest
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| References: | Brette R and Gerstner W (2005) Adaptive Exponential Integrate-and-Fire Model as
an Effective Description of Neuronal Activity. J Neurophysiol 94:3637-3642
| SeeAlso: | iaf_cond_exp aeif_cond_alpha |
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| Source: | /home/abuild/rpmbuild/BUILD/nest-2.4.1/models/aeif_cond_exp.h
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