Context-Dependent Learning and Memory Based on Spatio-Temporal Learning Rule
Context-Dependent Learning and Memory Based on Spatio-Temporal Learning Rule
复制标题
基于时空学习规则的情境相关学习与记忆
DOI：
10.1007/978-981-16-0317-4_10
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Tsukada Minoru
中科院分区：
文献类型：
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作者：
Tsukada Hiromichi;Tsukada Minoru
具有循环连接的Hebbian学习规则(HEB)具有稳定记忆模式的能力，而时空学习规则(STLR)具有较高的区分时空背景下空间输入模式的时间差异的能力。实验研究证实，这些学习规则在大脑中共存；然而，这些学习规则在记忆加工中如何相互作用仍不清楚。在这里，我们使用两种生物似然学习规则(HEB和STLR)构建了递归神经网络，并通过仿真评估了时空上下文信息是如何嵌入到记忆中的。我们发现，时空语境模式作为吸引子稳定地嵌入到记忆空间中，具有两个学习率的近似平衡，并与时间历史聚集在一起。这些发现有助于理解脑内时空语境学习的基本神经机制。
Hebbian learning rule (HEB) with recurrent connections has the ability to stabilize memory patterns, while spatio-temporal learning rule (STLR) has high ability to discriminate temporal difference of spatial input patterns in spatio-temporal context. These learning rules are confirmed to coexist in the brain by experimental study; however, how these learning rules interact each other in memory processing is still unclear. Here, we constructed a recurrent neural network with two biological plausible learning rules (HEB and STLR), and evaluated how spatio-temporal context information is embedded in the memory by simulation. We found that spatio-temporal context patterns are embedded stably in the memory space as attractors with approximate balance of two learning rates and clustered with temporal history. These findings contribute to the understanding of the fundamental neural mechanisms of spatio-temporal context learning in the brain.