iaf_cond_alpha_mc


Name:
iaf_cond_alpha_mc - PROTOTYPE Multi-compartment conductance-based leaky  
integrate-and-fire neuron model.
Description:
 
THIS MODEL IS A PROTOTYPE FOR ILLUSTRATION PURPOSES. IT IS NOT YET
FULLY TESTED. USE AT YOUR OWN PERIL!

iaf_cond_alpha_mc is an implementation of a multi-compartment spiking
neuron using IAF dynamics with conductance-based synapses. It serves
mainly to illustrate the implementation of multicompartment models in
NEST.

The model has three compartments: soma, proximal and distal dendrite,
labeled as s, p, and d, respectively. Compartments are connected through
passive conductances as follows

C_m.s d/dt V_m.s = ... - g_sp ( V_m.s - V_m.p )

C_m.p d/dt V_m.p = ... - g_sp ( V_m.p - V_m.s ) - g_pd ( V_m.p - V_m.d )

C_m.d d/dt V_m.d = ... - g_pd ( V_m.d - V_m.p )

A spike is fired when the somatic membrane potential exceeds threshold,
V_m.s >= V_th. After a spike, somatic membrane potential is clamped to
a reset potential, V_m.s == V_reset, for the refractory period. Dendritic
membrane potentials are not manipulated after a spike.

There is one excitatory and one inhibitory conductance-based synapse
onto each compartment, with alpha-function time course. 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. Each compartment can also receive
current input from a current generator, and an external (rheobase)
current can be set for each compartment.

Synapses, including those for injection external currents, are addressed through
the receptor types given in the receptor_types entry of the state dictionary.
Note that in contrast to the single-compartment iaf_cond_alpha model, all
synaptic weights must be positive numbers!


Parameters:
 
The following parameters can be set in the status dictionary. Parameters
for each compartment are collected in a sub-dictionary; these sub-dictionaries
are called "soma", "proximal", and "distal", respectively. In the list below,
these parameters are marked with an asterisk.

V_m* double - Membrane potential in mV
E_L* double - Leak reversal potential in mV.
C_m* double - Capacity of the membrane in pF
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.

g_sp double - Conductance connecting soma and proximal dendrite, in nS.
g_pd double - Conductance connecting proximal and distal dendrite, in
nS.
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.

Example:
See examples/nest/mc_neuron.py.

Remark:
This is a prototype for illustration which has undergone only limited testing.
Details of the implementation and user-interface will likely change.
USE AT YOUR OWN PERIL!

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.

Author:
Plesser  

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