iaf_cond_alpha


Name:
iaf_cond_alpha - Simple conductance based leaky integrate-and-fire neuron  
model.
Description:
 
iaf_cond_alpha is an implementation of a spiking neuron using IAF dynamics with
conductance-based synapses. Incoming spike events induce a post-synaptic change
of conductance modelled by an alpha function. The alpha function
is normalised such that an event of weight 1.0 results in a peak current of 1 nS
at t = tau_syn.

Parameters:
 
The following parameters can be set in the status dictionary.

V_m double - Membrane potential in mV
E_L double - Leak reversal potential in mV.
C_m double - Capacity of the membrane in pF
t_ref double - Duration of refractory period in ms.
V_th double - Spike threshold in mV.
V_reset double - Reset potential of the membrane in mV.
E_ex double - Excitatory reversal potential in mV.
E_in double - Inhibitory reversal potential in mV.
g_L double - Leak conductance in nS;
tau_syn_ex double - Rise time of the excitatory synaptic alpha function in ms.
tau_syn_in double - Rise time of the inhibitory synaptic alpha function in ms.
I_e double - Constant input current in pA.

Require:
HAVE_GSL  
Receives:
SpikeEvent, CurrentEvent, DataLoggingRequest  

Sends:
SpikeEvent  

References:
 

Meffin, H., Burkitt, A. N., & Grayden, D. B. (2004). An analytical
model for the large, fluctuating synaptic conductance state typical of
neocortical neurons in vivo. J. Comput. Neurosci., 16, 159-175.

Bernander, O ., Douglas, R. J., Martin, K. A. C., & Koch, C. (1991).
Synaptic background activity influences spatiotemporal integration in
single pyramidal cells. Proc. Natl. Acad. Sci. USA, 88(24),
11569-11573.

Kuhn, Aertsen, Rotter (2004) Neuronal Integration of Synaptic Input in
the Fluctuation- Driven Regime. Jneurosci 24(10) 2345-2356

Author:
Schrader, Plesser  

SeeAlso: Source:
/home/nest/work/nest-2.14.0/models/iaf_cond_alpha.h