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A neural model of schemas and memory encoding.
Biological Cybernetics ( IF 1.7 ) Pub Date : 2019-11-04 , DOI: 10.1007/s00422-019-00808-7
Tiffany Hwu 1, 2 , Jeffrey L Krichmar 1, 3
Affiliation  

The ability to rapidly assimilate new information is essential for survival in a dynamic environment. This requires experiences to be encoded alongside the contextual schemas in which they occur. Tse et al. (Science 316(5821):76-82, 2007) showed that new information matching a preexisting schema is learned rapidly. To better understand the neurobiological mechanisms for creating and maintaining schemas, we constructed a biologically plausible neural network to learn context in a spatial memory task. Our model suggests that this occurs through two processing streams of indexing and representation, in which the medial prefrontal cortex and hippocampus work together to index cortical activity. Additionally, our study shows how neuromodulation contributes to rapid encoding within consistent schemas. The level of abstraction of our model further provides a basis for creating context-dependent memories while preventing catastrophic forgetting in artificial neural networks.

中文翻译:

模式和内存编码的神经模型。

快速吸收新信息的能力对于在动态环境中生存至关重要。这要求将体验与发生的上下文模式一起编码。谢等。(Science 316(5821):76-82,2007)显示,与先前存在的模式匹配的新信息可以快速学习。为了更好地理解创建和维护模式的神经生物学机制,我们构建了一个生物学上合理的神经网络来学习空间记忆任务中的上下文。我们的模型表明,这是通过索引和表示的两个处理流发生的,其中内侧前额叶皮层和海马共同作用以对皮层活动进行索引。此外,我们的研究表明神经调节如何在一致的模式内促进快速编码。
更新日期:2019-11-04
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