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An incremental training method with automated extendable maze for training spatial behavioral tasks in rodents

机译:具有自动可扩展迷宫的增量式训练方法用于训练啮齿动物的空间行为任务

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摘要

We present a training procedure and maze equipped with sensors and automated feeders for training spatial behavioral tasks in rodents. The maze can be transformed from an enclosed box to a maze of variable dimensions. The modularity of the protocol and setup makes it highly flexible and suitable for training a wide variety of spatial tasks, and facilitates incremental training stages of increasing maze size for more efficient learning. The apparatus, in its software and hardware, is able to adapt to animal performance, adjusting task challenges and difficulty. Two different methods of automatic behavioral scoring are evaluated against manual methods. Sensors embedded in the maze provide information regarding the order of reward locations visited and the time between the activation of the cue via the nose-poke and the activation of the reward location sensors. The distributions of these reaction times differ between correct and incorrect trials, providing an index of behavior and motivation. The automated maze system allows the trainer to operate and monitor the task away from the experimental set-up, minimizing human interference and improving the reproducibility of the experiment. We show that our method succeeds in training a binary forced-choice task in rats.
机译:我们提出了一种训练程序和迷宫,配备了传感器和自动进料器,用于训练啮齿动物的空间行为任务。迷宫可以从封闭的盒子变成可变尺寸的迷宫。协议和设置的模块化使其具有高度的灵活性,适合于训练各种各样的空间任务,并有助于增加迷宫尺寸的增量训练阶段,从而提高学习效率。该装置在其软件和硬件中能够适应动物的行为,调节任务的难度和难度。与手动方法相比,评估了两种不同的自动行为评分方法。嵌入在迷宫中的传感器提供有关访问的奖励位置的顺序以及通过鼻戳提示启动和奖励位置传感器激活之间的时间的信息。这些反应时间的分布在正确和不正确的试验之间有所不同,从而提供了行为和动机的指标。自动化迷宫系统使培训师可以在实验装置之外进行操作和监视任务,从而最大程度地减少人为干扰并提高实验的可重复性。我们表明,我们的方法成功地训练了大鼠中的二元强制选择任务。

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