Short term synaptic depression with stochastic vesicle dynamics imposes a high-pass filter on presynaptic information
© Rosenbaum et al; licensee BioMed Central Ltd. 2012
Published: 16 July 2012
The filtering properties of synapses are modulated by a form of short term depression arising from the depletion of neurotransmitter vesicles. The uptake and release of these vesicles is stochastic in nature, but a widely used model of synaptic depression does not take this stochasticity into account. While this model of synaptic depression accurately captures the trial-averaged synaptic response to a presynaptic spike train , it fails to capture variability introduced by stochastic vesicle dynamics . Our goal is to understand the impact of stochastic vesicle dynamics on filtering and information transfer in depressing synapses.
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