Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA.
J Neurophysiol. 2010 Jul;104(1):569-75. doi: 10.1152/jn.00121.2010. Epub 2010 Apr 28.
Simultaneous behavior and multielectrode neural recordings in freely behaving rodents holds great promise to study the neural bases of behavior and disease models in combination with genetic manipulations. Here, we introduce the use of three-axis accelerometers to characterize the behavior of rats and mice during chronic neural recordings. These sensors were small and light enough to be worn by rodents and were used to record three-axis acceleration during freely moving behavior. A two-layer neural network-based pattern recognition algorithm was developed to extract the natural behavior of mice from the acceleration data. Successful recognition of resting, eating, grooming, and rearing are shown using this approach. The inertial sensors were combined with continuous 24-h recordings of neural data from the striatum of mice to characterize variations in neural activity with circadian cycles and to study the neural correlates of spontaneous action initiation. Finally, accelerometers were used to study the performance of rodents in traditional operant conditioning, where they were used to extract the reaction time of rodents. Thus the addition of accelerometer recordings of rodents to chronic multielectrode neural recordings provides great value for a number of neuroscience applications.
在自由活动的啮齿动物中进行同时的行为和多电极神经记录,结合遗传操作,有望研究行为和疾病模型的神经基础。在这里,我们介绍了三轴加速度计的使用,以描述慢性神经记录期间大鼠和小鼠的行为。这些传感器足够小和轻,可以戴在啮齿动物身上,并用于记录自由运动行为期间的三轴加速度。开发了一种基于两层神经网络的模式识别算法,从加速度数据中提取小鼠的自然行为。使用这种方法成功识别了休息、进食、梳理和饲养。惯性传感器与来自小鼠纹状体的连续 24 小时神经数据记录相结合,以描述神经活动随昼夜节律的变化,并研究自发动作启动的神经相关性。最后,加速度计用于研究啮齿动物在传统操作性条件反射中的表现,用于提取啮齿动物的反应时间。因此,将啮齿动物的加速度计记录添加到慢性多电极神经记录中,为许多神经科学应用提供了巨大的价值。