Command: iaf_cond_exp_sfa_rr

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Name:
iaf_cond_exp_sfa_rr - Simple conductance based leaky integrate-and-fire
neuron model.
Description:
iaf_cond_exp_sfa_rr is an iaf_cond_exp_sfa_rr i.e. an implementation of a
spiking neuron using IAF dynamics with conductance-based synapses,
with additional spike-frequency adaptation and relative refractory
mechanisms as described in Dayan+Abbott, 2001, page 166.

As for the iaf_cond_exp_sfa_rr, Incoming spike events induce a post-synaptic
change of conductance modelled by an exponential function. The
exponential function is normalised such that an event of weight 1.0
results in a peak current of 1 nS.

Outgoing spike events induce a change of the adaptation and relative
refractory conductances by q_sfa and q_rr, respectively. Otherwise
these conductances decay exponentially with time constants tau_sfa
and tau_rr, respectively.
Parameters:
The following parameters can be set in the status dictionary.

\verbatim embed:rst
=========== ====== ===========================================================
V_m mV Membrane potential
E_L mV Leak reversal potential
C_m pF Capacity of the membrane
t_ref ms Duration of refractory period
V_th mV Spike threshold
V_reset mV Reset potential of the membrane
E_ex mV Excitatory reversal potential
E_in mV Inhibitory reversal potential
g_L nS Leak conductance
tau_syn_ex ms Rise time of the excitatory synaptic alpha function
tau_syn_in ms Rise time of the inhibitory synaptic alpha function
q_sfa nS Outgoing spike activated quantal spike-frequency adaptation
conductance increase in nS
q_rr nS Outgoing spike activated quantal relative refractory
conductance increase in nS
tau_sfa ms Time constant of spike-frequency adaptation in ms
tau_rr ms Time constant of the relative refractory mechanism in ms
E_sfa mV Spike-frequency adaptation conductance reversal potential
in mV
E_rr mV Relative refractory mechanism conductance reversal
potential in mV
I_e pA Constant input current
=========== ====== ===========================================================
\endverbatim
Receives:
SpikeEvent, CurrentEvent, DataLoggingRequest
Sends:
SpikeEvent
References:
\verbatim embed:rst
.. [1] Meffin H, Burkitt AN, Grayden DB (2004). An analytical
model for the large, fluctuating synaptic conductance state typical of
neocortical neurons in vivo. Journal of Computational Neuroscience,
16:159-175.
DOI: https://doi.org/10.1023/B:JCNS.0000014108.03012.81
.. [2] Dayan P, Abbott LF (2001). Theoretical neuroscience: Computational and
mathematical modeling of neural systems. Cambridge, MA: MIT Press.
https://pure.mpg.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=
item_3006127
\endverbatim
Author:
Sven Schrader, Eilif Muller
SeeAlso:
Source:
/var/www/debian/nest/nest-simulator-2.18.0/models/iaf_cond_exp_sfa_rr.h
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