ModelDB: Broadening of activity with flow across neural structures (Lytton et al. 2008)

Broadening of activity with flow across neural structures (Lytton et al. 2008)

Accession: 116830

"Synfire chains have long been suggested as a substrate for perception and information processing in the nervous system. However, embedding activation chains in a densely connected nervous matrix risks spread of signal that will obscure or obliterate the message. We used computer modeling and physiological measurements in rat hippocampus to assess this problem of activity broadening. We simulated a series of neural modules with feedforward propagation and random connectivity within each module and from one module to the next. ..."
Reference: Lytton WW, Orman R, Stewart M (2008) Broadening of activity with flow across neural structures. Perception 37:401-7 [PubMed]

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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;
Model Concept(s):	Activity Patterns; Temporal Pattern Generation; Spatio-temporal Activity Patterns;
Implementer(s):	Lytton, William [billl at neurosim.downstate.edu];

Model files

Help downloading and running models Versions

This model replicates Fig. 1b of

Lytton WW; Orman R; Stewart M.  Broadening of activity with flow
across neural structures.  Perception, 37:401-407, PMID:
18491717. 2008.

runs under Unix/Linux and mswin (updated 20110331)

mostly NOT standard NEURON -- do not use to learn NEURON

To run:

cd b08dec23
nrnivmodl
nrngui mosinit.hoc

and press the recreate button.  When the model stops (after about 2
1/4 minutes on a 2.8GHz Pentium 4) a graph similar to figure 1 b from
the paper will be displayed:



Additional use notes:

mknewnet=1

at top of mosinit.hoc -- can switch to 0 if want to run again after
first run to inhibit re-creation of the net.net network connectivity file.

graphics shows excitatory (blue) and inhibitory (red) raster

individual inhibitory (IN) and excitatory (SU) cells from each column
are available from the menu.

This model code was supplied by Bill Lytton.

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