UCL Institute of Ophthalmology, University College London, London, UK.
Department of Biological Structure, University of Washington, Seattle, WA, USA.
Science. 2021 Apr 16;372(6539). doi: 10.1126/science.abf4588.
Measuring the dynamics of neural processing across time scales requires following the spiking of thousands of individual neurons over milliseconds and months. To address this need, we introduce the Neuropixels 2.0 probe together with newly designed analysis algorithms. The probe has more than 5000 sites and is miniaturized to facilitate chronic implants in small mammals and recording during unrestrained behavior. High-quality recordings over long time scales were reliably obtained in mice and rats in six laboratories. Improved site density and arrangement combined with newly created data processing methods enable automatic post hoc correction for brain movements, allowing recording from the same neurons for more than 2 months. These probes and algorithms enable stable recordings from thousands of sites during free behavior, even in small animals such as mice.
测量跨时间尺度的神经处理动力学需要在毫秒和数月的时间内跟踪数千个个体神经元的尖峰。为了满足这一需求，我们引入了 Neuropixels 2.0 探针以及新设计的分析算法。该探针有 5000 多个位点，经过小型化处理，便于在小型哺乳动物中进行慢性植入和无约束行为期间进行记录。在六个实验室的小鼠和大鼠中，可靠地获得了长时间尺度的高质量记录。改进的位点密度和排列方式结合新创建的数据处理方法，实现了对大脑运动的自动事后校正，允许对相同神经元进行 2 个月以上的记录。这些探针和算法使得在自由行为期间可以稳定地记录数千个位点，即使是在像小鼠这样的小动物中也是如此。
