Zhou Jiaqi, Gong Liping, Huang Xiaodong, Mu Chunlai, Mi Yuanyuan
School of Medicine, Chongqing University, Chongqing, China.
College of Mathematics and Statistics, Chongqing University, Chongqing, China.
Front Comput Neurosci. 2024 Jul 15;18:1430244. doi: 10.3389/fncom.2024.1430244. eCollection 2024.
Sequential working memory (SWM), referring to the temporary storage and manipulation of information in order, plays a fundamental role in brain cognitive functions. The serial position effect refers to the phenomena that recall accuracy of an item is associated to the order of the item being presented. The neural mechanism underpinning the serial position effect remains unclear. The synaptic mechanism of working memory proposes that information is stored as hidden states in the form of facilitated neuronal synapse connections. Here, we build a continuous attractor neural network with synaptic short-term plasticity (STP) to explore the neural mechanism of the serial position effect. Using a delay recall task, our model reproduces the the experimental finding that as the maintenance period extends, the serial position effect transitions from the primacy to the recency effect. Using both numerical simulation and theoretical analysis, we show that the transition moment is determined by the parameters of STP and the interval between presented stimulus items. Our results highlight the pivotal role of STP in processing the order information in SWM.
顺序工作记忆（SWM）是指对信息进行有序的临时存储和处理，在大脑认知功能中起着基础性作用。系列位置效应是指一个项目的回忆准确性与该项目呈现顺序相关的现象。支撑系列位置效应的神经机制尚不清楚。工作记忆的突触机制提出，信息以促进神经元突触连接的形式作为隐藏状态存储。在此，我们构建了一个具有突触短期可塑性（STP）的连续吸引子神经网络，以探索系列位置效应的神经机制。使用延迟回忆任务，我们的模型重现了实验结果，即随着维持期延长，系列位置效应从首因效应转变为近因效应。通过数值模拟和理论分析，我们表明转变时刻由STP参数和呈现刺激项目之间的间隔决定。我们的结果突出了STP在处理SWM中的顺序信息方面的关键作用。
