神经科学
生物神经网络
感觉系统
神经元回路
编码(社会科学)
系统神经科学
生物
心理学
计算机科学
中枢神经系统
数学
统计
少突胶质细胞
髓鞘
作者
Laura A. DeNardo,Liqun Luo
标识
DOI:10.1016/j.conb.2017.05.014
摘要
A major goal of modern neuroscience is to understand how ensembles of neurons participate in neural circuits underlying behavior. The recent explosion of genetically-encoded circuit analysis tools has allowed neuroscientists to characterize molecularly-defined neuronal types with unprecedented detail. However, since neurons defined by molecular expression can be functionally heterogeneous, targeting circuit analysis tools to neurons based on their activity is critical to elucidating the neural basis of behavior. Here we review genetic strategies to access activated neurons and characterize their functional properties, molecular profiles, connectivity, and causal roles in sensory-coding, memory, and valence-encoding. We also discuss future possibilities for improving these strategies and using them to screen brain-wide activity patterns underlying adaptive and maladaptive behaviors.
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