Krauth Nathalie, Khalil Valentina, Jariwala Meet, Mermet-Joret Noemie, Vestergaard Anne-Katrine, Capogna Marco, Nabavi Sadegh
Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.
DANDRITE, The Danish Research Institute of Translational Neuroscience, Aarhus, Denmark.
Front Cell Neurosci. 2020 May 12;14:114. doi: 10.3389/fncel.2020.00114. eCollection 2020.
A fundamental interest in circuit analysis is to parse out the synaptic inputs underlying a behavioral experience. Toward this aim, we have devised an unbiased strategy that specifically labels the afferent inputs that are activated by a defined stimulus in an activity-dependent manner. We validated this strategy in four brain circuits receiving known sensory inputs. This strategy, as demonstrated here, accurately identifies these inputs.
电路分析的一个基本兴趣点是解析行为体验背后的突触输入。为了实现这一目标，我们设计了一种无偏倚策略，该策略以活动依赖的方式特异性标记由特定刺激激活的传入输入。我们在四个接收已知感觉输入的脑回路中验证了这一策略。如此处所示，该策略能准确识别这些输入。
