Effect of short-term plasticity on working memory

doi:10.1088/1674-1056/acf03a

Abstract The way in which persistent firing activity and synaptic plasticity are orchestrated to underlie working memory in recurrent neural networks is not fully understood. Here, we build a continuous attractor network of pyramidal cells and interneurons to simulate an oculomotor delayed response task. Both short-term facilitation (STF) and short-term depression (STD) manifest at synapses between pyramidal cells. The efficacy of individual synapses depends on the time constants of STF and STD as well as the presynaptic firing rate. Self-sustained firing activity (i.e., a bump attractor) during the delay period encodes the cue position. The bump attractor becomes more robust against random drifts and distractions with enhancing STF or reducing STD. Keeping STF and STD at appropriate levels is crucial for optimizing network performance. Our results suggest that, besides slow recurrent excitation and strong global inhibition, short-term plasticity plays a prominent role in facilitating mnemonic behavior.

Keywords: bump attractor synaptic plasticity robustness sensitivity

Received: 20 April 2023
Revised: 30 June 2023
Accepted manuscript online: 15 August 2023

PACS:	87.19.lj	(Neuronal network dynamics)
	87.19.lw	(Plasticity)
	87.18.Sn	(Neural networks and synaptic communication)

Fund: This study was supported by STI 2030-Major Projects 2021ZD0201300.

Corresponding Authors: Feng Liu
E-mail: fliu@nju.edu.cn

Cite this article:

Fan Yang(杨帆) and Feng Liu(刘锋) Effect of short-term plasticity on working memory 2023 Chin. Phys. B 32 118706

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