Hippocampus temporo-septal engram shift model (Lytton 1999)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:7400
Temporo-septal engram shift model of hippocampal memory. The model posits that memories gradually move along the hippocampus from a temporal encoding site to ever more septal sites from which they are recalled. We propose that the sense of time is encoded by the location of the engram along the temporo-septal axis.
Reference:
1 . Lytton WW, Lipton P (1999) Can the hippocampus tell time? The temporo-septal engram shift model. Neuroreport 10:2301-6 [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;
Implementer(s): Lytton, William [billl at neurosim.downstate.edu];
Search NeuronDB for information about:  GabaA; AMPA; I Na,t; I K;
/
lytton99
README
AMPA.mod
GABAA.mod
kdr.mod
matrix.mod *
naf.mod *
passiv.mod *
pulse.mod *
sinstim.mod *
vecst.mod
vecst.mod.orig
bg.inc *
bg_cvode.inc
boxes.hoc *
declist.hoc *
decvec.hoc *
default.hoc *
directory
fig1.gif
grvec.hoc
init.hoc
ivl.vecs
labels.hoc
loadr.hoc *
local.hoc
mosinit.hoc
net.hoc
netcon.inc
nrnoc.hoc
ovl.vecs
params.hoc *
params.hoc.SAV *
proc.hoc
run.hoc
simctrl.hoc *
spkts.hoc
syncode.hoc
tmpl.hoc
                            
// $Id: labels.hoc,v 1.4 1998/10/16 17:16:29 billl Exp $

tmplist2 = new List()

//* numbers of things
func fnlam() { return nlam }

//* cell types: 
func ctypes(){return 2 }  // number of cell types
func fpyr () {return  0 }
func fin1 () {return  1 }

//* syn types: fgabaa = 0 fgabab = 1 fampa = 2 fnmda = 3}
func fgabaa (){return  0 }
func fgabab (){return  1 }
func fampa () {return  2 }
func fnmda () {return  3 }
func finj () {return  4 }

//* field types:  nrn=1, syn=3, clm=3, idx=4
func nrn() { return 1 }  // neuron type (either RE or TC)
func syn() { return 2 }  // synapse type (GABAA, GABAB, AMPA, NMDA)
func clm() { return 3 }  // column number
func idx() { return 4 }  // nrn number in the column 

// utility functions
// plmin(val,var)
func plmin() { return $1 + $2*(2*u_rand() - 1) } 

Loading data, please wait...