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用于心理声学任务中具有高度动物参与度的自动头部固定训练系统。

Automated head-fixation training system with high levels of animal participation in psychoacoustic tasks.

作者信息

Liu Ji, Maximov Kate, Kanold Patrick O

机构信息

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.

Department of Biology, University of Maryland, College Park, Maryland, United States of America.

出版信息

PLoS One. 2025 May 20;20(5):e0323114. doi: 10.1371/journal.pone.0323114. eCollection 2025.

Abstract

Many animal training paradigms rely on head-fixation. Head-fixation training is typically laborious and can benefit from automation to relieve the workload and reduce the variability in the training outcome. Several groups have reported successful implementations of such systems, but throughput varied greatly across groups. In addition, most studies relied on brief periods of head-fixation sessions (≤ 1 minute) to reduce the potential stress on the animal. Here, we report the design of a new system that could achieve head-fixation sessions on the order of minutes with a high participation rate from the animal (100%). Throughout the training period, each mouse performed a total of close to 40 minutes of head-fixation training on average each day and learned common psychoacoustic tasks, i.e., tone detection and tone discrimination. Our system can achieve highly efficient training with minimum idling time, allowing combinations with high-end neural recording equipment to achieve maximum training and data collection efficiency.

摘要

许多动物训练范式都依赖于头部固定。头部固定训练通常很费力,借助自动化来减轻工作量并减少训练结果的变异性会很有帮助。已有多个研究小组报告了此类系统的成功应用,但各小组的通量差异很大。此外,大多数研究依赖短暂的头部固定训练时段(≤1分钟),以减轻对动物的潜在压力。在此,我们报告一种新系统的设计,该系统能够实现长达数分钟的头部固定训练时段,且动物参与率很高(100%)。在整个训练期间,每只小鼠平均每天总共进行近40分钟的头部固定训练,并学会了常见的心理声学任务,即音调检测和音调辨别。我们的系统能够以最少的空闲时间实现高效训练,可与高端神经记录设备结合使用,以实现最大的训练和数据收集效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c20/12091756/4c86e2f660da/pone.0323114.g001.jpg

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