Two populations of excitatory neurons in the superficial retrosplenial cortex (Brennan et al 2020)

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Accession:260192
Hyperexcitable neurons enable precise and persistent information encoding in the superficial retrosplenial cortex
Reference:
1 . Brennan EKW, Sudhakar SK, Jedrasiak-Cape I, John TT, Ahmed OJ (2020) Hyperexcitable Neurons Enable Precise and Persistent Information Encoding in the Superficial Retrosplenial Cortex. Cell Rep 30:1598-1612.e8 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism: Neocortex;
Cell Type(s):
Channel(s): I Sodium; I Potassium;
Gap Junctions:
Receptor(s): AMPA; Gaba;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s):
Implementer(s): Sudhakar, Shyam Kumar [shyamk at umich.edu];
Search NeuronDB for information about:  AMPA; Gaba; I Sodium; I Potassium;
NEURON {
  SUFFIX kd
  USEION k READ ek WRITE ik
  RANGE gkd, g
}

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

PARAMETER {
  q10=3
  gkd = 0.00039 (S/cm2)
  theta_a = -50 (mV) :-50
  sigma_a = 20 (mV)
  theta_b = -70 (mV)
  sigma_b = -6 (mV)
  tau_a = 1.4 (ms) :2,1.4
  tau_b = 150 (ms)
}

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

STATE {a b}

BREAKPOINT {
  SOLVE states METHOD cnexp
  g = gkd * a^3 * b
  ik = g * (v-ek)
}

INITIAL {
  a = ainfi(v)
  b = binfi(v)
  qt = 3^((celsius - 24)/10)
  :tau_a = 2/qt :1.4
  :tau_b = 350/qt:150


}

DERIVATIVE states {
  a' = (ainfi(v)-a)/tau_a
  b' = (binfi(v)-b)/tau_b
}

FUNCTION ainfi(v (mV)) {
  UNITSOFF
  ainfi=1/(1 + exp(-(v-theta_a)/sigma_a))
  UNITSON
}

FUNCTION binfi(v (mV)) {
  UNITSOFF
  binfi=1/(1 + exp(-(v-theta_b)/sigma_b))
  UNITSON
}

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