**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