Communication in Neural Circuits: Tools, Opportunities, and Challenges.
Communication in Neural Circuits: Tools, Opportunities, and Challenges.
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DOI：
10.1016/j.cell.2016.02.027
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发表时间：
2016-03-10
期刊：
影响因子：
64.5
通讯作者：
Deisseroth K
中科院分区：
文献类型：
--
作者：
Lerner TN;Ye L;Deisseroth K
沟通，信息的有效传递，是所有尺度和物种生命的基础。神经系统（必然地）可能是生物组织中最特别适应于信息传输的高速率和复杂性的，因此，神经组织的特性及其组成电路的原理可能阐明生物通信的能力和局限性。在这里，我们考虑了神经回路研究工具的最新发展，特别关注通过输入和输出信息流定义神经细胞类型。通过他们的交流方式。这种基于通信的方法通过输入/输出（I/O）关系来定义细胞类型，将结构和功能联系起来，解决了与单一基因特征定义相关的困难，利用技术来观察和测试完整大脑中这些I/O关系的重要性，从而补充了通过遗传启动子/增强子特性定义细胞类型的方法。并映射到在发展、经验和进化过程中行为可能被适应的过程。
Communication, the effective delivery of information, is fundamental to life across all scales and species. Nervous systems (by necessity) may be most specifically adapted among biological tissues for high rate and complexity of information transmitted, and thus, the properties of neural tissue and principles of its organization into circuits may illuminate capabilities and limitations of biological communication. Here, we consider recent developments in tools for studying neural circuits with particular attention to defining neuronal cell types by input and output information streams—i.e., by how they communicate. Complementing approaches that define cell types by virtue of genetic promoter/enhancer properties, this communication-based approach to defining cell types operationally by input/output (I/O) relationships links structure and function, resolves difficulties associated with single-genetic-feature definitions, leverages technology for observing and testing significance of precisely these I/O relationships in intact brains, and maps onto processes through which behavior may be adapted during development, experience, and evolution.
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影响因子：
16.2
作者：
Chuhma N;Mingote S;Moore H;Rayport S
通讯作者：
Rayport S
纹状体培养基神经元的功能连接组。
DOI：
10.1523/jneurosci.3833-10.2011
发表时间：
2011-01-26
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Chuhma N;Tanaka KF;Hen R;Rayport S
通讯作者：
Rayport S
影响因子：
48
作者：
Cai D;Cohen KB;Luo T;Lichtman JW;Sanes JR
通讯作者：
Sanes JR
影响因子：
64.8
作者：
Cui, Guohong;Jun, Sang Beom;Jin, Xin;Pham, Michael D.;Vogel, Steven S.;Lovinger, David M.;Costa, Rui M.
通讯作者：
Costa, Rui M.
影响因子：
64.8
作者：
通讯作者：
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