Department of Neuroscience, Graduate Program in Neuroscience, Center for Neurobehavioral Development, University of Minnesota Academic Health Center, 6-145 Jackson Hall, 321 Church St. SE, Minneapolis, MN 55455, USA.
J Neurophysiol. 2011 Dec;106(6):3205-15. doi: 10.1152/jn.00468.2011. Epub 2011 Sep 7.
Behaviors are generated from complex interactions among networks of neurons. Single-unit ensemble recording has been used to identify multiple neurons in functioning networks. These recordings have provided insight into interactions among neurons in local and distributed circuits. Recorded units in these ensembles have been classed based on waveform type, firing pattern, and physical location. To identify individual projection neurons in a cortical network, we have paired tetrode recording with antidromic stimulation. We developed techniques that enable antidromic identification of single units and study of functional interactions between these neurons and other circuit elements. These methods have been developed in the zebra finch and should be applicable, with potential modifications that we discuss here, to any neural circuit with defined subpopulations based on projection target. This methodology will enable elucidation of the functional roles of single identified neurons in complex vertebrate circuits.
行为是由神经元网络之间的复杂相互作用产生的。单细胞集合记录已被用于识别功能网络中的多个神经元。这些记录为了解局部和分布式电路中神经元之间的相互作用提供了线索。这些集合中的记录单元已根据波形类型、发射模式和物理位置进行了分类。为了在皮质网络中识别单个投射神经元，我们将四极管记录与顺行刺激配对。我们开发了能够识别单个单元并研究这些神经元与其他电路元件之间功能相互作用的技术。这些方法已在斑马雀中开发，并且应该可以应用于任何具有基于投射靶标的定义亚群的神经电路，只需进行我们在此处讨论的潜在修改。这种方法学将能够阐明在复杂的脊椎动物电路中单个鉴定神经元的功能作用。
