Principles governing the operation of synaptic inhibition in dendrites (Gidon & Segev 2012)

 Download zip file 
Help downloading and running models
Accession:226401
A simple result of Gidon & Segev 2012 was provided where distal (off-path) inhibition is demonstrated to be more effective than proximal (on-path) inhibition in a ball and stick neuron.
Reference:
1 . Gidon A, Segev I (2012) Principles governing the operation of synaptic inhibition in dendrites. Neuron 75:330-41 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Simplified Models; Synaptic Integration;
Implementer(s): Morse, Tom [Tom.Morse at Yale.edu];
// assign_NMDA_tau.hoc
// assigns the time constants to those given by Gidon (personal communication):
//
// The NMDA synapse is a standard two exponential with Jahr and Stevens Mg gate.
// 
// mggate = 1 / (1 + exp(0.062 (/mV) * -v) * (mg / 3.57 (mM)))
// 
// g = gmax*(B - A)*mggate
// 
// ... Sarid et al., 2007 used
// 
// syn.gmax = 0.5e-3//15e-3
//
// syn.tau_r = 0.5
// 
// syn.tau_d = 44
// 
// syn.mg = 1
// 
 
tau_up = 0.5
tau_down = 44

objref nmda_list
nmda_list = new List("NMDA")

proc assign_NMDA_tau() {
    nmda_list = new List("NMDA")
    for i=0, nmda_list.count()-1 {
        nmda_list.object(i).tau1 = tau_up
        nmda_list.object(i).tau2 = tau_down
    }
}