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Hopfield and Brody model (Hopfield, Brody 2000) (NEURON+python)
Accession: 144549
Demonstration of Hopfield-Brody snychronization using artificial cells in NEURON+python.
References:
1. Hopfield JJ, Brody CD (2001) What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration. Proc Natl Acad Sci U S A 98:1282-7 [PubMed]
2. Hopfield JJ, Brody CD (2000) What is a moment? "Cortical" sensory integration over a brief interval. Proc Natl Acad Sci U S A 97:13919-24 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type:  Network;
Brain Region(s)/Organism:  
Cell Type(s):   
Channel(s):   
Gap Junctions:  
Receptor(s):  
Gene(s):  
Transmitter(s):  
Simulation Environment:  Neuron; Python;
Model Concept(s):  Pattern Recognition; Coincidence Detection; Temporal Pattern Generation; Synchronization; Attractor Neural Network;
Implementer(s):  Lytton, William [billl at neurosim.downstate.edu]; Neymotin, Sam [samn at neurosim.downstate.edu];
\
hoppy
readme.txt
invlfire.mod
misc.mod
stats.mod
vecst.mod
drline.hoc
grvec.hoc
init.hoc
decmat.hoc
labels.hoc
local.hoc
decnqs.hoc
nqs.hoc
nqs_utils.hoc
nrnoc.hoc
declist.hoc
simctrl.hoc
decvec.hoc
syncode.hoc
default.hoc
mysetup.py
net.py
pyinit.py
misc.h
                            
Demonstration of Hopfield-Brody snychronization using artificial cells in NEURON+python.

The main file in this demonstration is net.py

To use:
 1. unzip the contents of the zip file
 2. nrnivmodl , to compile the mod files
 3. ./x86_64/special -python net.py

The third step will run the simulation for 500 ms of simulation time and display
the spikes of the cells as red dots. The vertical blue lines indicate the
synchronization between the cells. The third step also assumes your computer's
architecture is 64-bit. If not, then the special file will be created in a
different sub-directory.


This demo was originally written by Bill Lytton and then later translated to python
by Sam Neymotin. 

For questions/comments contact Sam Neymotin:
 samuel dot neymotin at yale dot edu
  or
 samn at neurosim dot downstate dot edu



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