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Comparison of Memory Mechanisms Based on Adaptive Threshold Potential and Short-Term Synaptic Plasticity

2021; Springer Nature; Linguagem: Inglês

10.1007/978-3-030-91581-0_44

1860-9503

Mikhail Kiselev, Alexander Ivanitsky, Andrey Lavrentyev,

Neural Networks and Reservoir Computing

Working memory is a crucial property of spiking neural networks (SNN) recognizing long complex spatio-temporal patterns since the features characterizing onset of the pattern should be stored until its end. Many different ways to implement memory mechanism in SNN have been proposed. Here, we compare two of them – one is based on the variable threshold potential while the other – on the short-term synaptic plasticity (STP). The methodology for objective quantitative memory quality measurement using a special kind of artificially generated signals is described. We demonstrate that the both mechanisms have comparable time characteristics while the STP-based memory shows significantly less capacity – at least, for the moderate size SNN (~10000 neurons).