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


" ... 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. ..."

Model Type: Realistic Network

Cell Type(s): Abstract integrate-and-fire leaky neuron

Model Concept(s): Activity Patterns; Temporal Pattern Generation

Simulation Environment: MATLAB

Implementer(s): Tripp, Bryan [bryan.tripp at mail.mcgill.ca]; Eliasmith, Chris [celiasmith at uwaterloo.ca]

References:

Tripp B, Eliasmith C. (2007). Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]


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