Synaptic Facilitation: A Key Biological Mechanism for Resource Allocation in Computational Models of Working Memory

IF 4.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cognitive Computation Pub Date : 2023-12-28 DOI:10.1007/s12559-023-10234-4
Marta Balagué-Marmaña, Laura Dempere-Marco
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Abstract

Working memory (WM) is a crucial cognitive function required to maintain and manipulate information that is no longer present through the senses. Two key features of WM are its limited capacity and the emergence of serial order effects. This study investigates how synaptic facilitation and diverse display dynamics influence the encoding and retention of multiple items in WM. A biophysically inspired attractor model of WM, endowed with synaptic facilitation, is considered in this study. The investigation delves into the behaviour of the model under both sequential and simultaneous display protocols. Synaptic facilitation plays a crucial role in establishing the response of the WM system by regulating resource allocation during the encoding stage. It boosts WM capacity and is a key mechanism in the emergence of serial order effects. The synaptic facilitation time constant (\(\tau _F\)) is critical in modulating these effects, and its heterogeneity in the prefrontal cortex (PFC) may contribute to the combination of primacy and recency effects observed experimentally. Additionally, we demonstrate that the WM capacity exhibited by the network is heavily influenced by factors such as the stimuli nature, and their display duration. Although the network connectivity determines the WM capacity by regulating the excitation-inhibition balance, the display protocol modulates its effective limit. Our findings shed light on how different stimulation protocol dynamics affect WM, underscoring the importance of synaptic facilitation and experimental protocol design in modulating WM capacity.

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突触促进:工作记忆计算模型中资源分配的关键生物机制
工作记忆(WM)是一种重要的认知功能,用于保持和处理不再通过感官呈现的信息。工作记忆的两个主要特点是容量有限和出现序列顺序效应。本研究探讨了突触促进和多种显示动态如何影响 WM 中多个项目的编码和保留。本研究考虑了一个具有突触促进作用的 WM 生物物理学吸引子模型。研究深入探讨了该模型在连续和同步显示协议下的行为。突触促进通过调节编码阶段的资源分配,在建立 WM 系统响应方面发挥着至关重要的作用。它提高了 WM 容量,是序列顺序效应出现的关键机制。突触促进时间常数(\(\tau _F\))是调节这些效应的关键,它在前额叶皮层(PFC)中的异质性可能有助于实验观察到的主要效应和复现效应的结合。此外,我们还证明了网络所表现出的 WM 能力在很大程度上受到刺激性质及其显示持续时间等因素的影响。虽然网络连通性通过调节兴奋-抑制平衡来决定 WM 容量,但显示协议会调节其有效极限。我们的研究结果揭示了不同刺激方案动态如何影响 WM,强调了突触促进和实验方案设计在调节 WM 容量方面的重要性。
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来源期刊
Cognitive Computation
Cognitive Computation COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-NEUROSCIENCES
CiteScore
9.30
自引率
3.70%
发文量
116
审稿时长
>12 weeks
期刊介绍: Cognitive Computation is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of natural and artificial cognitive systems. It provides a new platform for the dissemination of research, current practices and future trends in the emerging discipline of cognitive computation that bridges the gap between life sciences, social sciences, engineering, physical and mathematical sciences, and humanities.
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