Exploring the Relationship Between Synaptic Dynamics Properties: Gain-Control and Temporal Filtering

The Gain-Control property of Synaptic Dynamics (SD) describes how the response of a neuron, mediated by short-term depression, can be sensitive to proportional changes of stochastic inputs.This has been related to the temporal filtering property of synaptic efficacy.However, the limits of the strength of Gain-Control in relationship to the efficacy have not been explored.This paper meets this gap by simulating networks using two synapses with fast-and slow-decays of efficacy.The results show that the Gain-Control effect decreases with the decay of efficacy.Formally describing this relationship can facilitate the integration of SD into Spiking Neural Networks.