Navratilova Z, Godfrey K B, McNaughton B L
Neuroelectronics Research Flanders, KU Leuven, Leuven, Belgium; Department of Neuroscience, Canadian Center for Behavioral Neuroscience, The University of Lethbridge, Lethbridge, Canada; and.
Neuroelectronics Research Flanders, KU Leuven, Leuven, Belgium;
J Neurophysiol. 2016 Feb 1;115(2):992-1002. doi: 10.1152/jn.00699.2015. Epub 2015 Dec 16.
Neural recording technology is improving rapidly, allowing for the detection of spikes from hundreds of cells simultaneously. The limiting step in multielectrode electrophysiology continues to be single cell isolation. However, this step is crucial to the interpretation of data from putative single neurons. We present here, in simulation, an illustration of possibly erroneous conclusions that may be reached when poorly isolated single cell data are analyzed. Grid cells are neurons recorded in rodents, and bats, that spike in equally spaced locations in a hexagonal pattern. One theory states that grid firing patterns arise from a combination of band firing patterns. However, we show here that summing the grid firing patterns of two poorly resolved neurons can result in spurious band-like patterns. Thus, evidence of neurons spiking in band patterns must undergo extreme scrutiny before it is accepted. Toward this aim, we discuss single cell isolation methods and metrics.
神经记录技术正在迅速改进,能够同时检测数百个细胞的尖峰信号。多电极电生理学中的限制步骤仍然是单细胞分离。然而,这一步骤对于解释来自假定单个神经元的数据至关重要。我们在此通过模拟展示了分析分离不佳的单细胞数据时可能得出的错误结论。网格细胞是在啮齿动物和蝙蝠中记录到的神经元,它们在六边形图案中以等距位置产生尖峰信号。一种理论认为,网格放电模式源于带状放电模式的组合。然而,我们在此表明,将两个分辨不佳的神经元的网格放电模式相加会导致虚假的带状模式。因此,在接受神经元以带状模式放电的证据之前,必须进行严格审查。为了实现这一目标,我们讨论了单细胞分离方法和指标。