Feedforward heteroassociative network with HH dynamics (Lytton 1998)

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Accession:7399
Using the original McCulloch-Pitts notion of simple on and off spike coding in lieu of rate coding, an Anderson-Kohonen artificial neural network (ANN) associative memory model was ported to a neuronal network with Hodgkin-Huxley dynamics.
Reference:
1 . Lytton WW (1998) Adapting a feedforward heteroassociative network to Hodgkin-Huxley dynamics. J Comput Neurosci 5:353-64 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s):
Channel(s): I Na,t; I K;
Gap Junctions:
Receptor(s): GabaA; AMPA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Pattern Recognition; Temporal Pattern Generation; Spatio-temporal Activity Patterns; Simplified Models; Attractor Neural Network;
Implementer(s): Lytton, William [billl at neurosim.downstate.edu];
Search NeuronDB for information about:  GabaA; AMPA; I Na,t; I K;
/
lytton98
README
AMPA.mod
GABAA.mod
kdr.mod
matrix.mod *
misc.mod.orig
naf.mod *
passiv.mod *
precall.mod
pregen.mod *
pregencv.mod
pulsecv.mod
sinstim.mod *
vecst.mod
bg.inc *
boxes.hoc *
declist.hoc *
decvec.hoc *
default.hoc *
directory
fig5.gif
grvec.hoc
init.hoc
labels.hoc
loadr.hoc *
local.hoc *
mosinit.hoc *
net.hoc
nrnoc.hoc *
params.hoc
presyn.inc
proc.hoc
run.hoc
simctrl.hoc *
sns.inc *
snsarr.inc
snscode.hoc
snshead.inc *
spkts.hoc
tmpl.hoc
xtmp
                            
// $Id: tmpl.hoc,v 1.8 1996/07/19 02:05:00 billl Exp $

install_vecst()
install_matrix()

//* NRN

begintemplate NRN
  public soma
  public ampa, gaba, p1,p2
  external mkcode
  public up
  objectvar p1,p2,ampa,gaba
  objref this,up

  create soma

  proc init() { 
    col = $1 num = $2 inps = $3
    soma {diam = 10   L = 31.831}
    access soma
    // type, col, pre0, tier
    p1 = new PRESYN(0.5,mkcode(1,1,col,num))
    p2 = new PRESYN(0.5,mkcode(1,2,col,num))
    ampa = new AMPA(0.5,mkcode(1,1,col,num),inps)
    gaba = new GABAA(0.5,mkcode(1,2,col,num),1)
  }
endtemplate NRN

//* Defining hippo lamella
begintemplate LAM
  public nrn,sumr,ampalist,gabalist

  objref nrn[1]
  objref sumr[1]

  proc init() { 
    lnum = $1 cnum = $2 inum = $3
    objectvar nrn[cnum]
    for i=0,cnum-1 { nrn[i] = new NRN(lnum,i,inum) }
    sumr[0] = new NRN(lnum,cnum,cnum)
  }

  proc ampalist () { local i
      $o1.remove_all 
      for i=0,cnum-1 { $o1.append(nrn[i].ampa) }
  }
  proc gabalist () { local i
      $o1.remove_all 
      for i=0,cnum-1 { $o1.append(nrn[i].gaba) }
  }
endtemplate LAM

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