Using synchronized brain rhythms to bias memory guided-decisions - eLife

Hello! :)These are the source data, which includes LFPs and behavioral data, for the eLife paper titled "Using synchronized brain rhythms to bias memory-guided decisions".These data are accompanied by code to reproduce all figures and statistics in the paper (GriffinLabCode/Manuscript Code/Published/Stout et al 2023 - Using synchronized brain rhythms to bias memory guided decisions/SCRIPT_sourceFigs.m at main · JohnStout/GriffinLabCode · GitHub)Please note that you will likely need the Griffin Lab pipeline to make use of some helper functions (GitHub - JohnStout/GriffinLabCode: Code used for processing and analyzing data from Amy Griffins laboratory at the University of Delaware)The instructions for using this pipeline are in the "1) READ ME.txt" file.It is important to note that some of the data used for this paper are from Hallock et al., 2016 (Ventral Midline Thalamus Is Critical for Hippocampal–Prefrontal Synchrony and Spatial Working Memory | Journal of Neuroscience (jneurosci.org)) and Stout and Griffin 2020 (Frontiers | Representations of On-Going Behavior and Future Actions During a Spatial Working Memory Task by a High Firing-Rate Population of Medial Prefrontal Cortex Neurons (frontiersin.org)).Data for Figure 6 - Figure Supplement 1 can be found here: https://doi.org/10.6084/m9.figshare.26337268.v1Please note that if you are downloading any of the "dataSpkLFP" variables and you explore the dataSpkLFP.session1.processed.info, you will see old information about indexing. Please note, to extract PFC signals, run the following: dataSpkLFP.session1.processed.spksLFPs{1,1}(1,:); To extract HPC signals: dataSpkLFP.session1.processed.spksLFPs{1,1}(2,:); and to extract VMT signals: dataSpkLFP.session1.processed.spksLFPs{1,1}(3,:);If you load the separate dataSpkLFP variables and go to the Github code, jump to lines 1191:1225 to generate a single dataSpkLFP variable.Contact: John Stout, [e-mail]

本数据集为发表于eLife期刊、题为《利用同步脑节律调控记忆导向决策》的论文配套源数据，包含局部场电位（Local Field Potentials, LFPs）与行为学数据。本数据集配套可复现论文中全部图表与统计结果的代码，代码仓库路径为：JohnStout/GriffinLabCode · GitHub 下的GriffinLabCode/Manuscript Code/Published/Stout et al 2023 - Using synchronized brain rhythms to bias memory guided decisions/SCRIPT_sourceFigs.m。
请注意，若要使用部分辅助函数，您需配置Griffin Lab数据分析流水线，其代码仓库为：GitHub - JohnStout/GriffinLabCode: 用于处理与分析特拉华大学Amy Griffin实验室相关数据的代码。该流水线的使用说明收录于"1) READ ME.txt"文件中。
需特别说明，本论文所用部分数据源自Hallock等人2016年的研究（论文标题：《腹侧中线丘脑对海马-前额叶同步化与空间工作记忆的关键作用》，发表于《Journal of Neuroscience》，链接：jneurosci.org）以及Stout与Griffin 2020年的研究（论文标题：《空间工作记忆任务中内侧前额叶皮层高放电群体神经元对当前行为与未来动作的表征》，发表于《Frontiers》，链接：frontiersin.org）。
图6及其补充图1的数据可通过以下链接获取：https://doi.org/10.6084/m9.figshare.26337268.v1。
请注意，若您下载了任意"dataSpkLFP"变量并查看dataSpkLFP.session1.processed.info，将看到关于索引的旧版说明。如需提取前额叶皮层（Prefrontal Cortex, PFC）信号，请运行以下代码：dataSpkLFP.session1.processed.spksLFPs{1,1}(1,:)；如需提取海马体（Hippocampus, HPC）信号，请运行：dataSpkLFP.session1.processed.spksLFPs{1,1}(2,:)；如需提取腹侧中线丘脑（Ventral Midline Thalamus, VMT）信号，请运行：dataSpkLFP.session1.processed.spksLFPs{1,1}(3,:)。
若您加载了多个独立的dataSpkLFP变量，可前往GitHub代码的第1191至1225行，将其合并为单个dataSpkLFP变量。
联系方式：John Stout，邮箱：[e-mail]