Differential stability of task variable representations in retrosplenial cortex
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Cortical neurons store information across different timescales, from seconds to years. Although information stability is variable across regions, it can vary within a region as well. Association areas are known to multiplex behaviorally relevant variables, but the stability of their representations is not well understood. Here, we longitudinally recorded the activity of neuronal populations in the mouse retrosplenial cortex (RSC) during the performance of a context-choice association task. We found that the activity of neurons exhibits different levels of stability across days. Using linear classifiers, we quantified the stability of three task-relevant variables. We find that RSC representations of context and trial outcome display higher stability than motor choice, both at the single cell and population levels. Together, our findings show an important characteristic of association areas, where diverse streams of information are stored with varying levels of stability, which may balan..., , , This README.txt file was generated on 2024-08-10 by Luis M. Franco GENERAL INFORMATION 1. Title of Dataset: Differential Stability of Task Variable Representations in Retrosplenial Cortex 2. Author Information A. Principal Investigator Contact Information Name: Michael J. Goard Institution: University of California Santa Barbara (UCSB) Address: 6131 Biological Science Building II, University of California Santa Barbara (UCSB), Santa Barbara, CA 93106-5060 Email: [michael.goard@lifesci.ucsb.edu](mailto:michael.goard@lifesci.ucsb.edu) B. Associate or Co-investigator Contact Information Name: Luis M. Franco Institution: University of Oregon (UO) Address: Institute of Neuroscience, University of Oregon (UO), 1254 University of Oregon, Eugene, OR 97403-1254 Email: [luisfran@uoregon.edu](mailto:luisfran@uoregon.edu) 3. Date of data collection: stabilityData.mat ---> 2018-09-11 to 2019-06-14 exampleExperiment [folder] ---> 2018-09-11 to 2018-09-15 4. ...
皮层神经元可在数秒至数年的不同时间尺度下存储信息。尽管不同脑区的信息稳定性存在差异，但同一脑区内的信息稳定性也并非一成不变。已知联合皮质区可编码与行为相关的多重变量，但目前学界对其表征的稳定性仍知之甚少。本研究在小鼠完成情境选择关联任务期间，对其压后皮层（retrosplenial cortex, RSC）内的神经元集群活动进行了纵向记录。研究发现，神经元活动在不同天数间呈现出不同程度的稳定性。本研究使用线性分类器对三项与任务相关的变量的稳定性进行了量化分析。结果显示，无论是在单细胞还是神经元集群层面，压后皮层对情境与试次结果的表征稳定性均高于运动选择表征的稳定性。综上，本研究结果揭示了联合皮质区的一项重要特征：该脑区以不同程度的稳定性存储各类信息流，这或许可起到平衡……的作用。本README.txt文件由Luis M. Franco于2024年8月10日生成。 通用信息 1. 数据集名称：压后皮层内任务变量表征的差异化稳定性 2. 作者信息 A. 首席研究员联系方式 姓名：Michael J. Goard 所属机构：加利福尼亚大学圣巴巴拉分校（University of California Santa Barbara, UCSB） 地址：加利福尼亚州圣巴巴拉市，加州大学圣巴巴拉分校生物科学二号楼6131室，邮编93106-5060 邮箱：[michael.goard@lifesci.ucsb.edu](mailto:michael.goard@lifesci.ucsb.edu) B. 副研究员/联合研究员联系方式 姓名：Luis M. Franco 所属机构：俄勒冈大学（University of Oregon, UO） 地址：俄勒冈州尤金市，俄勒冈大学神经科学研究所1254号，邮编97403-1254 邮箱：[luisfran@uoregon.edu](mailto:luisfran@uoregon.edu) 3. 数据收集日期： stabilityData.mat → 2018年9月11日至2019年6月14日 exampleExperiment文件夹 → 2018年9月11日至2018年9月15日 4. ...
