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

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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]
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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];
// demo_nmda.hoc
// loads the t_table in exp2synNMDA.mod

load_file("set_t_table.hoc")


// test the saturating NMDA conductance by a series of pulses
objref ns, nc
tstop = 1000
objref E_event_vec
E_event_vec = new Vector()
Enoise = 0 // 0 is uniform, 1 is poisson
Edel = 5 // delay to start time
gnmdamax = 1
period = 1000/50

num_of_events = 40
load_file("run_cntrl_g.ses")

proc test_run() {
  ns = new NetStim(0.5)
  ns.interval = period
  ns.noise = Enoise // completly noisy is 1, fixed frequency is 0
  ns.start = Edel
  ns.number = num_of_events // have as many spikes as the simulation can include
  nc = new NetCon(ns,dummy_synapse ,0,0,1) // source, target, thresh, delay, weight
  nc.record(E_event_vec)
  nc.weight = gnmdamax // causes conductance to be used
                       // when an event occurs
  init()
  run()
  // g_g.exec_menu("View = plot")

}
load_file("A_B_graph.ses")
test_run()