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;
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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: params.hoc,v 1.22 1996/09/16 00:07:58 billl Exp $

dt          = .25
printStep = dt
tstop   = 600
celsius     = 37.0
seed = 518139
v_init       = -60.

//* CHANNELS
forsec "NRN" { 
  insert Pass
  g_Pass = 3e-6
  insert naf
  gmax_naf = 0.03
  insert kdr
  gmax_kdr = 0.025
}

//* SYNAPSES
GMAX_AMPA = 1e-3
GMAX_GABAA = 1e-3
Erev_AMPA = -20
Erev_GABAA = -100
Cdur_AMPA = 1
Cdur_GABAA = 1
Alpha_AMPA = 1
Alpha_GABAA = 1
Beta_AMPA = 0.35
Beta_GABAA = 0.35
Deadtime_AMPA = 1
Deadtime_GABAA = 1
DELAY_AMPA = 0
DELAY_GABAA = 0
delset("AMPA")
delset("GABAA")

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