NeuroMathComp Project, INRIA Sophia-Antipolis, Sophia-Antipolis, France.
Neuroimage. 2010 Nov 1;53(2):420-38. doi: 10.1016/j.neuroimage.2010.06.026. Epub 2010 Jun 17.
We propose a biological cortical column model, at an intermediate mesoscopic scale, in order to better understand and interpret biological sources of voltage-sensitive dye imaging signal (VSD signal). To perform a quantitative analysis of the relative contributions to the VSD signal, a detailed compartmental model was developed at a scale corresponding to one pixel of optical imaging. The generated model was used to solve the VSD direct problem, i.e. generate a VSD signal, given the neural substrate parameters and activities. Here, we confirm and quantify the fact that the VSD signal is the result of an average from multiple components. Not surprisingly, the compartments that mostly contribute to the signal are the upper layer dendrites of excitatory neurons. However, our model suggests that inhibitory cells, spiking activity and deep layers contributions are also significant and, more unexpected, are dynamically modulated with time and response strength.
我们提出了一个生物皮质柱模型,处于中间的介观尺度,以便更好地理解和解释电压敏感染料成像信号(VSD 信号)的生物学来源。为了对相对贡献进行定量分析,我们在与光学成像一个像素相对应的尺度上开发了一个详细的隔室模型。生成的模型用于解决 VSD 直接问题,即给定神经基质参数和活动,生成 VSD 信号。在这里,我们证实并量化了这样一个事实,即 VSD 信号是多个分量的平均值。毫不奇怪,对信号贡献最大的隔室是兴奋性神经元的上树突层。然而,我们的模型表明,抑制性细胞、尖峰活动和深层的贡献也很重要,更出人意料的是,它们随着时间和响应强度的变化而动态调节。