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

 Download zip file 
Help downloading and running models
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 kdrs1
  USEION k READ ek WRITE ik
  RANGE g,gkdr,ikk
}

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

PARAMETER {
  gkdr = 0.225 (S/cm2)
  theta_hn = -20 (mV):-20
  sigma_n = 10.4 (mV) : 6.8
  q10=3
}

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

STATE {n}

BREAKPOINT {
  SOLVE states METHOD cnexp
  g = gkdr * n*n
  ik = g * (v-ek)
  ikk= ik
}

INITIAL {
  n = ninfi(v)
}

DERIVATIVE states {
  n' = (ninfi(v)-n)/taun(v)
}

FUNCTION ninfi(v (mV)) {
  UNITSOFF
  ninfi=1/(1 + exp(-(v-theta_hn)/sigma_n))
  UNITSON
}

FUNCTION taun(v (mV)) (ms) {
  UNITSOFF
  :qt = q10^((celsius - 24)/10)
  qt = q10^((celsius - 37)/10)


:taun = (((0.087 + 17.4 / (1 + exp ((v+35.6)/9.6))) * (0.087 + 25.4 / (1 + exp (-(v-1.3)/18.7))))) : equation from kv2 paper
taun = (((0.087 + 9.4 / (1 + exp ((v+35.6)/9.6))) * (0.087 + 10.4 / (1 + exp (-(v-1.3)/18.7))))) : equation from kv2 paper


  
  taun=taun/qt
  UNITSON
}

Loading data, please wait...