Suppr超能文献

通过细胞特异性刺激和自发背景噪声实现海马体-皮质记忆痕迹的转移与再激活

Hippocampal-Cortical Memory Trace Transfer and Reactivation Through Cell-Specific Stimulus and Spontaneous Background Noise.

作者信息

Liu Xin, Kuzum Duygu

机构信息

Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA, United States.

出版信息

Front Comput Neurosci. 2019 Sep 24;13:67. doi: 10.3389/fncom.2019.00067. eCollection 2019.

Abstract

The hippocampus plays important roles in memory formation and retrieval through sharp-wave-ripples. Recent studies have shown that certain neuron populations in the prefrontal cortex (PFC) exhibit coordinated reactivations during awake ripple events. These experimental findings suggest that the awake ripple is an important biomarker, through which the hippocampus interacts with the neocortex to assist memory formation and retrieval. However, the computational mechanisms of this ripple based hippocampal-cortical coordination are still not clear due to the lack of unified models that include both the hippocampal and cortical networks. In this work, using a coupled biophysical model of both CA1 and PFC, we investigate possible mechanisms of hippocampal-cortical memory trace transfer and the conditions that assist reactivation of the transferred memory traces in the PFC. To validate our model, we first show that the local field potentials generated in the hippocampus and PFC exhibit ripple range activities that are consistent with the recent experimental studies. Then we demonstrate that during ripples, sequence replays can successfully transfer the information stored in the hippocampus to the PFC recurrent networks. We investigate possible mechanisms of memory retrieval in PFC networks. Our results suggest that the stored memory traces in the PFC network can be retrieved through two different mechanisms, namely the cell-specific input representing external stimuli and non-specific spontaneous background noise representing spontaneous memory recall events. Importantly, in both cases, the memory reactivation quality is robust to network connection loss. Finally, we find out that the quality of sequence reactivations is enhanced by both increased number of SWRs and an optimal background noise intensity, which tunes the excitability of neurons to a proper level. Our study presents a mechanistic explanation for the memory trace transfer from the hippocampus to neocortex through ripple coupling in awake states and reports two different mechanisms by which the stored memory traces can be successfully retrieved.

摘要

海马体通过尖波涟漪在记忆形成和提取过程中发挥重要作用。最近的研究表明,前额叶皮层(PFC)中的某些神经元群体在清醒时的涟漪事件中表现出协同再激活。这些实验结果表明,清醒时的涟漪是一种重要的生物标志物,通过它海马体与新皮层相互作用以辅助记忆形成和提取。然而,由于缺乏包含海马体和皮层网络的统一模型,这种基于涟漪的海马体 - 皮层协调的计算机制仍不清楚。在这项工作中,我们使用CA1和PFC的耦合生物物理模型,研究海马体 - 皮层记忆痕迹转移的可能机制以及有助于前额叶皮层中转移的记忆痕迹再激活的条件。为了验证我们的模型,我们首先表明,海马体和前额叶皮层中产生的局部场电位表现出与最近实验研究一致的涟漪范围活动。然后我们证明,在涟漪期间,序列回放可以成功地将存储在海马体中的信息转移到前额叶皮层的循环网络中。我们研究了前额叶皮层网络中记忆提取的可能机制。我们的结果表明,前额叶皮层网络中存储的记忆痕迹可以通过两种不同的机制被提取,即代表外部刺激的细胞特异性输入和代表自发记忆回忆事件的非特异性自发背景噪声。重要的是,在这两种情况下,记忆再激活质量对网络连接丢失具有鲁棒性。最后,我们发现,增加尖波涟漪的数量和最佳背景噪声强度都能提高序列再激活的质量,后者将神经元的兴奋性调节到适当水平。我们的研究为清醒状态下通过涟漪耦合从海马体到新皮层的记忆痕迹转移提供了一种机制解释,并报告了两种可以成功提取存储的记忆痕迹的不同机制。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验