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Unbiased classification of spatial strategies in the Barnes maze

机译:巴恩斯迷宫中空间策略的无偏分类

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Motivation: Spatial learning is one of the most widely studied cognitive domains in neuroscience. The Morris water maze and the Barnes maze are the most commonly used techniques to assess spatial learning and memory in rodents. Despite the fact that these tasks are well-validated paradigms for testing spatial learning abilities, manual categorization of performance into behavioral strategies is subject to individual interpretation, and thus to bias. We have previously described an unbiased machine- learning algorithm to classify spatial strategies in the Morris water maze.
机译:动机:空间学习是神经科学中研究最广泛的认知领域之一。莫里斯水迷宫和巴恩斯迷宫是评估啮齿动物空间学习和记忆的最常用技术。尽管这些任务是用于测试空间学习能力的经过充分验证的范例,但将性能手动分类为行为策略却要受到个人的解释,因此会产生偏差。先前我们已经描述了一种无偏机器学习算法来对Morris水迷宫中的空间策略进行分类。

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