ModelDB: Neural transformations on spike timing information (Tripp and Eliasmith 2007)

Neural transformations on spike timing information (Tripp and Eliasmith 2007)

Accession: 136380

" ... Here we employ computational methods to show that an ensemble of neurons firing at a constant mean rate can induce arbitrarily chosen temporal current patterns in postsynaptic cells. ..."
Reference: Tripp B, Eliasmith C (2007) Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing. Cereb Cortex 17:1830-40 [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:	MATLAB;
Model Concept(s):	Activity Patterns; Temporal Pattern Generation;
Implementer(s):	Tripp, Bryan [bryan.tripp at mail.mcgill.ca]; Eliasmith, Chris [celiasmith at uwaterloo.ca];

Model files

Help downloading and running models

this folder contains matlab code related to 

Tripp BP & Eliasmith C, 2007, Neural populations can induce reliable
post-synaptic currents without observable spike rate changes or 
precise spike timing. 

The code is organized into the following sub-folders: 

  exp: scripts for running numerical experiments
  fig: scripts for producing article figures 
  lib: library functions that are called by the above scripts

Note that some of the figure scripts require data files that are
produced by the experiment scripts. 

This code has been tested with Matlab versions 6.5, 7.0.1, and
partially tested in 7.8.0.

Usage:
Download and extract this archive.  After starting matlab add 
the lib folder to the path
addpath(path, '(where you put it)\lib`)
then cd to the fig folder and type a figure file, for example,
figure1
to start execution.
This first one generates figure 1a, 1b, and 1c:

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