Reliability of spike timing is a general property of spiking model neurons (Brette & Guigon 2003)


"... Here we show, through simulations and theoretical considerations, that for a general class of spiking neuron models, which includes, in particular, the leaky integrate-and-fire model as well as nonlinear spiking models, aperiodic currents, contrary to periodic currents, induce reproducible responses, which are stable under noise, change in initial conditions and deterministic perturbations of the input. We provide a theoretical explanation for aperiodic currents that cross the threshold."

Model Type: Neuron or other electrically excitable cell

Model Concept(s): Reliability

Simulation Environment: Brian (web link to method); Python (web link to model)

Implementer(s): Brette R

References:

Brette R, Guigon E. (2003). Reliability of spike timing is a general property of spiking model neurons. Neural computation. 15 [PubMed]


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