A functional spiking-neuron model of activity-silent working memory in humans based on calcium-mediated short-term synaptic plasticity

PLoS Computational Biology
Matthijs PalsJelmer P Borst

Abstract

In this paper, we present a functional spiking-neuron model of human working memory (WM). This model combines neural firing for encoding of information with activity-silent maintenance. While it used to be widely assumed that information in WM is maintained through persistent recurrent activity, recent studies have shown that information can be maintained without persistent firing; instead, information can be stored in activity-silent states. A candidate mechanism underlying this type of storage is short-term synaptic plasticity (STSP), by which the strength of connections between neurons rapidly changes to encode new information. To demonstrate that STSP can lead to functional behavior, we integrated STSP by means of calcium-mediated synaptic facilitation in a large-scale spiking-neuron model and added a decision mechanism. The model was used to simulate a recent study that measured behavior and EEG activity of participants in three delayed-response tasks. In these tasks, one or two visual gratings had to be maintained in WM, and compared to subsequent probes. The original study demonstrated that WM contents and its priority status could be decoded from neural activity elicited by a task-irrelevant stimulus displayed during th...Continue Reading

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Citations

Mar 10, 2021·American Journal of Primatology·Nicholas A Upright, Mark G Baxter
May 11, 2021·Frontiers in Computational Neuroscience·Paulo R ProtacheviczJürgen Kurths

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