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Neural transformations on spike timing information (Tripp and Eliasmith 2007)
 
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Model Information
Model File
Citations
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:
1 .
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
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Abstract integrate-and-fire leaky neuron;
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];
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TrippEliasmith2007
exp
fig
lib
readme.html
license.txt
screenshot1a.jpg
screenshot1b.jpg
screenshot1c.jpg
todo.txt
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