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使用地面投影迷宫记录神经活动的自动化视觉认知任务。

Automated visual cognitive tasks for recording neural activity using a floor projection maze.

作者信息

Jacobson Tara K, Ho Jonathan W, Kent Brendon W, Yang Fang-Chi, Burwell Rebecca D

机构信息

Department of Cognitive, Linguistic & Psychological Sciences, Brown University.

Department of Cognitive, Linguistic & Psychological Sciences, Brown University; Department of Neuroscience, Brown University;

出版信息

J Vis Exp. 2014 Feb 20(84):e51316. doi: 10.3791/51316.

Abstract

Neuropsychological tasks used in primates to investigate mechanisms of learning and memory are typically visually guided cognitive tasks. We have developed visual cognitive tasks for rats using the Floor Projection Maze(1,2) that are optimized for visual abilities of rats permitting stronger comparisons of experimental findings with other species. In order to investigate neural correlates of learning and memory, we have integrated electrophysiological recordings into fully automated cognitive tasks on the Floor Projection Maze(1,2). Behavioral software interfaced with an animal tracking system allows monitoring of the animal's behavior with precise control of image presentation and reward contingencies for better trained animals. Integration with an in vivo electrophysiological recording system enables examination of behavioral correlates of neural activity at selected epochs of a given cognitive task. We describe protocols for a model system that combines automated visual presentation of information to rodents and intracranial reward with electrophysiological approaches. Our model system offers a sophisticated set of tools as a framework for other cognitive tasks to better isolate and identify specific mechanisms contributing to particular cognitive processes.

摘要

灵长类动物中用于研究学习和记忆机制的神经心理学任务通常是视觉引导的认知任务。我们利用地板投影迷宫(1,2)为大鼠开发了视觉认知任务,该迷宫针对大鼠的视觉能力进行了优化,从而能够更有力地将实验结果与其他物种进行比较。为了研究学习和记忆的神经关联,我们已将电生理记录整合到地板投影迷宫(1,2)上的全自动认知任务中。与动物跟踪系统接口的行为软件允许监测动物的行为,同时精确控制图像呈现和奖励条件,以更好地训练动物。与体内电生理记录系统相结合,能够在给定认知任务的选定阶段检查神经活动的行为关联。我们描述了一个模型系统的方案,该系统将向啮齿动物自动视觉呈现信息与颅内奖励以及电生理方法相结合。我们的模型系统提供了一套复杂的工具,作为其他认知任务的框架,以更好地分离和识别促成特定认知过程的特定机制。

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