Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA; The Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.
Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA.
Cell Rep. 2023 Aug 29;42(8):112909. doi: 10.1016/j.celrep.2023.112909. Epub 2023 Aug 4.
Determining which features of the neural code drive behavior requires the ability to simultaneously read out and write in neural activity patterns with high precision across many neurons. All-optical systems that combine two-photon calcium imaging and targeted photostimulation enable the activation of specific, functionally defined groups of neurons. However, these techniques are unable to test how patterns of activity across a population contribute to computation because of an inability to both read and write cell-specific firing rates. To overcome this challenge, we make two advances: first, we introduce a genetic line of mice for Cre-dependent co-expression of a calcium indicator and a potent soma-targeted microbial opsin. Second, using this line, we develop a method for read-out and write-in of precise population vectors of neural activity by calibrating the photostimulation to each cell. These advances offer a powerful and convenient platform for investigating the neural codes of computation and behavior.
确定神经编码的哪些特征驱动行为需要能够高精度地同时读取和写入许多神经元的神经活动模式。结合双光子钙成像和靶向光刺激的全光学系统能够激活特定的、功能定义的神经元群。然而,由于无法同时读取和写入细胞特异性放电率,这些技术无法测试群体活动模式如何有助于计算。为了克服这一挑战,我们取得了两项进展:首先,我们引入了一种遗传系小鼠,用于 Cre 依赖性共表达钙指示剂和一种有效的胞体靶向微生物视蛋白。其次,使用该系,我们通过将光刺激校准到每个细胞,开发了一种用于精确读出和写入神经活动群体向量的方法。这些进展为研究计算和行为的神经编码提供了一个强大而方便的平台。