Neurotechnology Center, Department of Biological Sciences, Columbia University, New York City, NY 10027, USA.
Neurotechnology Center, Department of Biological Sciences, Columbia University, New York City, NY 10027, USA.
STAR Protoc. 2023 Sep 15;4(3):102543. doi: 10.1016/j.xpro.2023.102543. Epub 2023 Sep 5.
Neuronal ensembles are coordinated groups of neurons that serve as functional building blocks of neural circuits. Here, we present PatMap, a computational toolbox for identifying pattern-completion neurons, key trigger cells capable of reactivating entire neuronal ensembles. We describe a protocol for modeling neural circuits as probabilistic graphical models, linking behavior with specific neuronal ensembles, and identifying their pattern-completion neurons. By linking the cellular and circuit level, PatMap provides a springboard for targeted manipulation and control of neural circuits. For complete details on the use and execution of this protocol, please refer to Carrillo-Reid et al. (2021)..
神经元集合是协调的神经元群体，是神经回路的功能构建块。在这里，我们介绍了 PatMap，这是一种用于识别模式完成神经元的计算工具包，模式完成神经元是能够重新激活整个神经元集合的关键触发细胞。我们描述了一种将神经回路建模为概率图形模型的方案，将行为与特定的神经元集合联系起来，并识别它们的模式完成神经元。通过将细胞和回路层面联系起来，PatMap 为有针对性地操纵和控制神经回路提供了一个起点。有关此方案的使用和执行的完整详细信息，请参阅 Carrillo-Reid 等人。(2021)。
