Elucidating the Dynamics of Memory

在上一个财政年度，我们继续进行实验，研究振荡和尖峰是如何组织与记忆和经验相关的神经元子集的精确活动的。我们发表了一篇手稿，详细介绍了海马体CA2子场的短暂沉默对结构中网络活动动态的状态依赖性影响，其中包括我们新开发的基于机器学习的算法，该算法基于在单个四极体上记录的尖峰解码位置。这使我们第一次能够以子字段和状态依赖的方式查看位置解码。我们还发表了一篇综述论文，回顾了我们之前关于CA2和CA3子场对锐波涟漪和重放的差异贡献的工作。我们使用闭环光遗传学和高密度神经像素记录收集数据，将在下一个财政年度进行分析。

During the previous fiscal year we have continued to conducted experiments investigating how oscillations and spiking organize the precise activity of subsets of neurons related to memory and experience. We published a manuscript detailing a state-dependent impact of transient silencing of the CA2 subfield of the hippocampus on the dynamics of network activity in the structure, featuring our newly developed machine learning based algorithm for the decoding of position based on the spikes recorded on a single tetrode. This allowed us, for the first time, to look at positional decoding in a subfield and state dependent manner. We have also published a review paper on our previous work on the differential contributions of the CA2 and CA3 subfields to sharp-wave ripples and replay. We have collected data using closed-loop optogenetics and using high-density neuropixels recording that will be analyzed in the coming fiscal year.