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Updated: Jun 27, 2025

Assessment of Social Interaction Behaviors

Assessment of Social Interaction Behaviors

Published on: February 25, 2011

多代理行为数据集:小鼠二度社会交互.

Jennifer J Sun¹, Tomomi Karigo¹, Dipam Chakraborty²

¹Caltech.

Advances in neural information processing systems

|May 6, 2024

概括

此摘要是机器生成的。

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这项研究介绍了加州理工学院鼠标社会交互 (CalMS21) 数据集,这是一个用于多代理行为建模的新资源. 它可以对小鼠的社交互动进行高级分析和自动行为分类.

科学领域:

行为神经科学行为神经科学
计算生物学计算生物学
机器学习机器学习

背景情况:

在行为神经科学中,了解代理人之间的复杂相互作用至关重要.
对动物行为的自动分析对于加速研究至关重要.
现有的数据集可能缺乏强大的模型培训所需的规模或多样性.

研究的目的:

介绍Caltech鼠标社交交互 (CalMS21) 数据集用于多代理行为建模.
为评估自动行为分类方法提供基准.
促进对注释者之间的差异的研究和学习新的行为.

主要方法:

在居民入侵者试验中从自由行为小鼠收集的轨迹数据.
记录了600万个没有标签的追踪姿势的,以及超过100万个带注释的.
开发了培训,风格转移和行为少量学习的基准.

主要成果:

CalMS21数据集为多代理行为分析提供了一个大规模的资源.
基准指标解决了从标记和未标记数据中对行为进行分类的挑战.
该数据集可方便对新的行为设置和注释器风格进行概括.

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A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach

Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach

Published on: May 15, 2016

相关实验视频

Last Updated: Jun 27, 2025

Assessment of Social Interaction Behaviors

Assessment of Social Interaction Behaviors

Published on: February 25, 2011

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

A System for Tracking the Dynamics of Social Preference Behavior in Small Rodents

Published on: November 21, 2019

Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach

Experimental Assessment of Mouse Sociability Using an Automated Image Processing Approach

Published on: May 15, 2016

结论:

CalMS21数据集是促进神经科学中自动行为分类的宝贵工具.
它支持开发更强大的和可通用的多代理行为模型.
这个资源将加速社会行为研究中的发现.