Intrinsic sensory neurons of the gut (Chambers et al. 2014)

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Accession:155796
A conductance base model of intrinsic neurons neurons in the gastrointestinal tract. The model contains all the major voltage-gated and calcium-gated currents observed in these neurons. This model can reproduce physiological observations such as the response to multiple brief depolarizing currents, prolonged depolarizing currents and hyperpolarizing currents. This model can be used to predict how different currents influence the excitability of intrinsic sensory neurons in the gut.
Reference:
1 . Chambers JD, Bornstein JC, Gwynne RM, Koussoulas K, Thomas EA (2014) A detailed, conductance-based computer model of intrinsic sensory neurons of the gastrointestinal tract. Am J Physiol Gastrointest Liver Physiol 307:G517-32 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Channel/Receptor;
Brain Region(s)/Organism:
Cell Type(s): Gastrointestinal tract intrinsic sensory neuron;
Channel(s): I Na,p; I Na,t; I K,leak; I K,Ca; I CAN; I Mixed; I Na, leak; Ca pump;
Gap Junctions:
Receptor(s):
Gene(s): Nav1.3 SCN3A; Nav1.7 SCN9A; Nav1.9 SCN11A SCN12A;
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Detailed Neuronal Models; Action Potentials; Calcium dynamics;
Implementer(s): Chambers, Jordan [jordandchambers at gmail.com];
Search NeuronDB for information about:  I Na,p; I Na,t; I K,leak; I K,Ca; I CAN; I Mixed; I Na, leak; Ca pump;
TITLE A-type potassium current
: from Golomb, Yue, Yaari J. Neurophysiol. 2006

NEURON {
  SUFFIX ka
  USEION k READ ek WRITE ik
  RANGE gbar, g, i, jika
}

UNITS {
  (S) = (siemens)
  (mV) = (millivolt)
  (mA) = (milliamp)	
}

PARAMETER {
  gbar = 1e-2 (S/cm2)
  btau = 15 (ms)
  atau = 0.5 (ms)
  amid = 30 (mV)
  aslope = 20 (mV)
  bmid = 80 (mV)
  bslope = 6 (mV)
  jika 	(mA/cm2)
:  eK = -95 (S/cm2)
}

ASSIGNED {
  v	(mV)
  ek	(mV)
  ik 	(mA/cm2)
  i 	(mA/cm2)
  g	(S/cm2)
  
 
}

STATE {a b}


BREAKPOINT {
  SOLVE states METHOD cnexp
  g = gbar*a*a*a*b
  i = g*(v-ek)
  ik = i
  jika = i
}
  
INITIAL {
  b = binf(v)
  a = ainf(v)
}

DERIVATIVE states {
 b'= (binf(v)-b)/btau
 a' = (ainf(v)-a)/atau
}

FUNCTION ainf (Vm (mV)) () {

  UNITSOFF
    ainf = 1/(1+exp(-(Vm+amid)/aslope))
  UNITSON

}


FUNCTION binf (Vm (mV)) () {

  UNITSOFF
    binf = 1/(1+exp((Vm+bmid)/bslope))
  UNITSON

}



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