Visual objects refine head direction coding

Animals use visual objects to guide navigation-related behaviors, from hunting prey to escaping predators and exploring the world. However, little is known about where visual objects are encoded in the mouse brain or how they impact processing in the spatial navigation system. Using functional ultrasound imaging, we conducted a brain-wide screen and identified areas preferentially activated by images of objects compared to scrambled versions. While visual cortical areas did not show a significant preference, brain areas associated with spatial navigation were preferentially activated by visual objects. Electrophysiological recordings in the postsubiculum, the primary cortical area of the head direction (HD) system, confirmed a preference for visual objects in both HD cells and fast-spiking interneurons. Finally, we found that visual objects dynamically modulated HD cells in freely moving animals, selectively increasing firing rates of HD cells aligned with a visual object while decreasi..., , # Visual objects refine head direction coding

Dataset DOI: [10.5061/dryad.2rbnzs81t](http://10.0.19.197/dryad.2rbnzs81t)

### Description of the data and file structure

All preprocessed data and code (without raw data) can be found in this file: Visual_objects_refine_head_direction_coding.tar

Raw data can be found in this file: Visual_objects_refine_head_direction_coding_rawData.tar

Data files are stored in MATLAB (.mat) or comma-separated value (.csv) format and scripts as MATLAB scripts (.m) or Jupyter notebooks (.ipynb).

**Files and variables**

Scripts are named after the Figure panel(s) they produce. Data required to produce the figures are stored in the folder “preprocessed data”, and scripts required to for panel production are stored in the folder “codes”.

Data and scripts are stored in subfolders depending on the technique they are associated with (\"fUS\" (Figure 1) or electrophysiology (\"ephys\", Figure 2-5)). \"epyhs\" is further separated in either acutely inserted electro...,

动物可借助视觉物体调控与导航相关的行为，从捕猎猎物、躲避天敌到探索周遭环境。然而，目前学界对小鼠大脑中视觉物体的编码位点，以及其如何影响空间导航系统的信息处理过程仍知之甚少。本研究利用功能超声成像（functional ultrasound imaging）开展全脑筛选，相较于视觉物体的打乱版本，成功筛选出被完整视觉物体优先激活的脑区。尽管视觉皮层区域未表现出显著偏好，但与空间导航相关的脑区却会被视觉物体优先激活。研究人员对头部方向（head direction, HD）系统的主要皮层区域——后下托皮层（postsubiculum）开展电生理记录，证实头部方向细胞与快放电中间神经元（fast-spiking interneurons）均表现出对视觉物体的偏好。最终，本研究发现视觉物体可在自由活动的动物体内动态调控头部方向细胞：当头部方向细胞与视觉物体对齐时，其放电频率会选择性升高，而[原文截断]。

# 视觉物体优化头部方向编码

数据集DOI：[10.5061/dryad.2rbnzs81t](http://10.0.19.197/dryad.2rbnzs81t)

### 数据与文件结构说明

所有预处理后的数据与代码（不包含原始数据）均可在以下文件中获取：Visual_objects_refine_head_direction_coding.tar

原始数据可在以下文件中获取：Visual_objects_refine_head_direction_coding_rawData.tar

数据文件以MATLAB格式（.mat）或逗号分隔值格式（.csv）存储，脚本则分为MATLAB脚本（.m）与Jupyter笔记本（.ipynb）两类。

**文件与变量说明**

脚本的命名与其生成的图表面板相对应。用于生成图表的数据存储于“预处理数据”文件夹中，而用于生成各面板的脚本则存储于“代码”文件夹内。

数据与脚本按照其所关联的实验技术分类存储于子文件夹中：分为“fUS”（对应图1）与“电生理（ephys，对应图2-5）”两类。其中“ephys”又进一步分为急性植入式电生理……[原文截断]