Carandini Matteo
Smith-Kettlewell Eye Research Institute, San Francisco, California, USA.
PLoS Biol. 2004 Sep;2(9):E264. doi: 10.1371/journal.pbio.0020264. Epub 2004 Aug 24.
The visual cortex responds to repeated presentations of the same stimulus with high variability. Because the firing mechanism is remarkably noiseless, the source of this variability is thought to lie in the membrane potential fluctuations that result from summated synaptic input. Here this hypothesis is tested through measurements of membrane potential during visual stimulation. Surprisingly, trial-to-trial variability of membrane potential is found to be low. The ratio of variance to mean is much lower for membrane potential than for firing rate. The high variability of firing rate is explained by the threshold present in the function that converts inputs into firing rates. Given an input with small, constant noise, this function produces a firing rate with a large variance that grows with the mean. This model is validated on responses recorded both intracellularly and extracellularly. In neurons of visual cortex, thus, a simple deterministic mechanism amplifies the low variability of summated synaptic inputs into the large variability of firing rate. The computational advantages provided by this amplification are not known.
视觉皮层对同一刺激的重复呈现反应具有高度变异性。由于放电机制几乎没有噪声,这种变异性的来源被认为在于由总和突触输入引起的膜电位波动。在此,通过在视觉刺激期间测量膜电位来检验这一假设。令人惊讶的是,发现膜电位的逐次试验变异性很低。膜电位的方差与均值之比远低于放电率。放电率的高变异性是由将输入转换为放电率的函数中存在的阈值所解释的。给定一个具有小的、恒定噪声的输入,该函数产生一个方差大且随均值增长的放电率。该模型在细胞内和细胞外记录的反应上得到了验证。因此,在视觉皮层的神经元中,一种简单的确定性机制将总和突触输入的低变异性放大为放电率的大变异性。这种放大所提供的计算优势尚不清楚。