Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)

 Download zip file 
Help downloading and running models
Accession:185858
"Neuronal persistent activity has been primarily assessed in terms of electrical mechanisms, without attention to the complex array of molecular events that also control cell excitability. We developed a multiscale neocortical model proceeding from the molecular to the network level to assess the contributions of calcium regulation of hyperpolarization-activated cyclic nucleotide-gated (HCN) channels in providing additional and complementary support of continuing activation in the network. ..."
Reference:
1 . Neymotin SA, McDougal RA, Bulanova AS, Zeki M, Lakatos P, Terman D, Hines ML, Lytton WW (2016) Calcium regulation of HCN channels supports persistent activity in a multiscale model of neocortex. Neuroscience 316:344-66 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Synapse; Channel/Receptor; Molecular Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex L5/6 pyramidal GLU cell; Neocortex L2/3 pyramidal GLU cell; Neocortex V1 interneuron basket PV GABA cell; Neocortex fast spiking (FS) interneuron; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron; Neocortex layer 2-3 interneuron; Neocortex layer 5 interneuron; Neocortex layer 6a interneuron;
Channel(s): I Na,t; I L high threshold; I T low threshold; I A; I K; I M; I h; I K,Ca; I CAN; I Calcium; I_AHP; I_KD; Ca pump;
Gap Junctions:
Receptor(s): mGluR1; GabaA; GabaB; AMPA; NMDA; mGluR; Glutamate; Gaba; IP3;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Ion Channel Kinetics; Oscillations; Spatio-temporal Activity Patterns; Signaling pathways; Working memory; Attractor Neural Network; Calcium dynamics; Laminar Connectivity; G-protein coupled; Rebound firing; Brain Rhythms; Dendritic Bistability; Reaction-diffusion; Beta oscillations; Persistent activity; Multiscale;
Implementer(s): Neymotin, Sam [Samuel.Neymotin at nki.rfmh.org]; McDougal, Robert [robert.mcdougal at yale.edu];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; Neocortex L2/3 pyramidal GLU cell; Neocortex V1 interneuron basket PV GABA cell; mGluR1; GabaA; GabaB; AMPA; NMDA; mGluR; Glutamate; Gaba; IP3; I Na,t; I L high threshold; I T low threshold; I A; I K; I M; I h; I K,Ca; I CAN; I Calcium; I_AHP; I_KD; Ca pump; Gaba; Glutamate;
/
CaHDemo
readme.html
cagk.mod
cal.mod *
calts.mod *
can.mod *
cat.mod *
gabab.mod *
IC.mod *
icalts.mod *
Ih.mod
ihlts.mod *
IKM.mod *
kap.mod
kcalts.mod *
kdmc.mod
kdr.mod
kdrbwb.mod
km.mod *
mglur.mod *
misc.mod
MyExp2SynBB.mod *
MyExp2SynNMDABB.mod
nafbwb.mod
nax.mod
vecst.mod *
aux_fun.inc *
conf.py
declist.hoc *
decnqs.hoc *
decvec.hoc *
default.hoc *
drline.hoc *
geom.py
ghk.inc *
grvec.hoc
init.hoc
labels.hoc
labels.py *
local.hoc *
misc.h
mpisim.py
netcfg.cfg
nqs.hoc
nqs.py
nrnoc.hoc *
onepyr.cfg
onepyr.py
pyinit.py *
python.hoc *
pywrap.hoc *
screenshot.png
screenshot1.png
simctrl.hoc *
simdat.py
syncode.hoc *
xgetargs.hoc *
                            
UNITS {
  (mA) = (milliamp)
  (mV) = (millivolt)
  (mS) = (millisiemens)
}

NEURON {
  SUFFIX Nafbwb
  USEION na WRITE ina
  RANGE phih
  RANGE gna, ena, taoh : testing
}
	
PARAMETER {
  gna  = 35 (mS/cm2)
  ena  = 55 (mV)
  phih = 5
}
    
ASSIGNED {
  v       (mV)
  ina     (mA/cm2)
  minf    (1)
  hinf    (1)
  taoh    (ms)
  celsius (degC)
}

STATE { h }

PROCEDURE iassign () { ina = (1e-3) * gna * minf^3 * h * (v-ena) }

INITIAL {
  rates(v)
  h = hinf
  iassign()
}

BREAKPOINT {
  SOLVE states METHOD cnexp	
  iassign()
}

DERIVATIVE states { 
  rates(v)
  h' = (hinf-h)/taoh
}

PROCEDURE rates(v(mV)) { LOCAL am, bm, ah, bh, q10
    
  q10  = phih:^((celsius-27.0(degC))/10.0(degC))	
    
  am   = fun3(v,  -35, -0.1,    -10)
  bm   = fun1(v,  -60,  4,      -18) 
  minf = am/(am+bm)
 
  ah   = fun1(v,  -58,    0.07,  -20)
  bh   = fun2(v,  -28,    1,     -10)
  hinf = ah/(ah+bh)
  taoh = 1./((ah+bh)*q10)
}

INCLUDE "aux_fun.inc"