iaf_chxk_2008


Name:
iaf_chxk_2008 - Conductance based leaky integrate-and-fire neuron model  
used in Casti et al 2008.
Description:
 
iaf_chxk_2008 is an implementation of a spiking neuron using IAF dynamics with
conductance-based synapses [1]. It is modeled after iaf_cond_alpha with the
addition of after hyper-polarization current instead of a membrane potential
reset. Incoming spike events induce a post-synaptic change of conductance
modeled by an alpha function. The alpha function is normalized 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
V_th double - Spike threshold 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_ex double - Rise time of the excitatory synaptic alpha function in ms.
tau_in double - Rise time of the inhibitory synaptic alpha function in ms.
I_e double - Constant input current in pA.
tau_ahp double - Afterhyperpolarization (AHP) time constant in ms.
E_ahp double - AHP potential in mV.
g_ahp double - AHP conductance in nS.
ahp_bug bool - Defaults to false. If true, behaves like original
model implementation.

Require:
HAVE_GSL  
Receives:
SpikeEvent, CurrentEvent  

Sends:
SpikeEvent  

References:
 
[1] Casti A, Hayot F, Xiao Y, and Kaplan E (2008) A simple model of retina-LGN
transmission. J Comput Neurosci 24:235-252.

Author:
Heiberg  

SeeAlso: Source:
/home/graber/work-nest/nest-git/nest-simulator/models/iaf_chxk_2008.h