Distance-dependent inhibition in the hippocampus (Strüber et al. 2017)

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Accession:229750
Network model of a hippocampal circuit including interneurons and principal cells. Amplitude and decay time course of inhibitory synapses can be systematically changed for different distances between connected cells. Various forms of excitatory drives can be administered to the network including spatially structured input.
Reference:
1 . Strüber M, Sauer JF, Jonas P, Bartos M (2017) Distance-dependent inhibition facilitates focality of gamma oscillations in the dentate gyrus. Nat Commun 8:758 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Dentate gyrus;
Cell Type(s): Dentate gyrus granule GLU cell; Dentate gyrus basket cell;
Channel(s):
Gap Junctions: Gap junctions;
Receptor(s): GabaA; Glutamate;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Gamma oscillations; Spatio-temporal Activity Patterns;
Implementer(s): Strüber, Michael [michael_strueber at hotmail.com];
Search NeuronDB for information about:  Dentate gyrus granule GLU cell; GabaA; Glutamate; Gaba; Glutamate;
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DDnet
readme.txt
gap.mod
kaprox.mod *
kdrca1.mod *
km.mod *
na3n.mod *
net_hh_wbsh.mod
net_dd_ana.hoc
net_dd_emodel.hoc
net_dd_imodel.hoc
net_dd_params.hoc
net_dd_procs.hoc
net_dd_run.hoc
net_dd_vectors.hoc
                            
TITLE net_hh_wbsh.mod interneuron sodium, potassium, and leak channels
 
COMMENT

 This file is based on the original hh.mod file (see original comment
 below). It was modified to match the model that was used in the
 simulations of Wang and Buzsaki (1996, J. Neurosci. 16).

 ***************************************************************************
 This is the original Hodgkin-Huxley treatment for the set of sodium, 
  potassium, and leakage channels found in the squid giant axon membrane.
  ("A quantitative description of membrane current and its application 
  conduction and excitation in nerve" J.Physiol. (Lond.) 117:500-544 (1952).)
 Membrane voltage is in absolute mV and has been reversed in polarity
  from the original HH convention and shifted to reflect a resting potential
  of -65 mV.
 Remember to set celsius=6.3 (or whatever) in your HOC file.
 See squid.hoc for an example of a simulation using this model.
 SW Jaslove  6 March, 1992
 ***************************************************************************

 changes:

  - m is substituted by it"s steady state value: m_inf - see 'BREAKPOINT'
  {as a result mtau is not needed, 'minf' is removed from
  GLOBAL declaration and 'm' is included in the RANGE var list
  otherwise it will be handled as a GLOBAL var and will not be
  evaluated separately for the 'sections'; for 'h' an 'n' this 
  is not a problem}

  - for h and n alpha and beta values are multiplied by 5 
  (see factor "Phi" in the W&B model)

  - USEION removed as we don't want to deal with ions and set eNa and
  eK directly. Rev potentials 'egna' and 'egk' are in the PARAMETERS
  list
    
  - temp: set to 6.3 Celsius, alpha and beta values are set/manipulated
  directly to simulate characteristic firing pattern

  I. Vida, Nov. 2000

  ***************************************************************************
    
ENDCOMMENT
 
UNITS {
        (mA) = (milliamp)
        (mV) = (millivolt)
}

? interface

NEURON {
        SUFFIX hh_net
        NONSPECIFIC_CURRENT ina,ik,il

        RANGE gnabar,gna,egna,m, gkbar,gk,egk, gl,el, sh
	GLOBAL hinf, ninf, htau, ntau

}
 
PARAMETER {
        gnabar = .035 (mho/cm2)	<0,1e9>
	egna	= 55 (mV)	
        gkbar = .009 (mho/cm2)	<0,1e9>
	egk	= -90 (mV)	
        gl = .0001 (mho/cm2)	<0,1e9>
        el = -65 (mV)
        sh = 20 (mV)
	
}
 
STATE {
        m h n
}
 
ASSIGNED {
        v (mV)
	celsius (degC)

	gna (mho/cm2)
        ina (mA/cm2)
	gk (mho/cm2)
        ik (mA/cm2)
        il (mA/cm2)
        minf hinf ninf
	htau (ms) ntau (ms)
}
 
LOCAL mexp, hexp, nexp        
 
? currents
BREAKPOINT {
        SOLVE states METHOD cnexp
	m = minf
        gna = gnabar*m*m*m*h
	ina = gna*(v - egna)
        gk = gkbar*n*n*n*n
	ik = gk*(v - egk)      
        il = gl*(v - el)
}
 
 
INITIAL {
	rates(v)
	m = minf
	h = hinf
	n = ninf
}

? states
DERIVATIVE states {  
        rates(v)
        h' = (hinf-h)/htau
        n' = (ninf-n)/ntau
}
 
LOCAL q10


? rates
PROCEDURE rates(v(mV)) {  :Computes rate and other constants at current v.
                          :Call once from HOC to initialize inf at resting v.
		      
        LOCAL  alpha, beta, sum
        TABLE minf, hinf, htau, ninf, ntau DEPEND celsius FROM -100 TO 100 WITH 200


UNITSOFF
        q10 = 3^((celsius - 6.3)/10)

               :"m" sodium activation system
        alpha = .1 * vtrap(-(v+35-sh),10)
        beta =  4 * exp(-(v+60-sh)/18)
        sum = alpha + beta
        minf = alpha/sum

                :"h" sodium inactivation system
        alpha =.35 * exp(-(v+58-sh)/20)
        beta = 5 / (exp(-(v+28-sh)/10) + 1)
        sum = alpha + beta
	      htau = 1/(q10*sum)
        hinf = alpha/sum

                :"n" potassium activation system
        alpha =.05*vtrap(-(v+34-sh),10) 
        beta = .625*exp(-(v+44-sh)/80)
	      sum = alpha + beta
        ntau = 1/(q10*sum)
        ninf = alpha/sum
}
 
FUNCTION vtrap(x,y) {  :Traps for 0 in denominator of rate eqns.
        if (fabs(x/y) < 1e-6) {
                vtrap = y*(1 - x/y/2)
        }else{
                vtrap = x/(exp(x/y) - 1)
        }
}
 
UNITSON