Institute of Molecular Medicine and Genetics, Graduate Program in Neuroscience and Department of Neurology, Georgia Health Sciences University, Augusta, Georgia, United States of America.
PLoS One. 2012;7(5):e37364. doi: 10.1371/journal.pone.0037364. Epub 2012 May 17.
Homeostatic scaling of synaptic strengths is essential for maintenance of network "gain", but also poses a risk of losing the distinctions among relative synaptic weights, which are possibly cellular correlates of memory storage. Multiplicative scaling of all synapses has been proposed as a mechanism that would preserve the relative weights among them, because they would all be proportionately adjusted. It is crucial for this hypothesis that all synapses be affected identically, but whether or not this actually occurs is difficult to determine directly. Mathematical tests for multiplicative synaptic scaling are presently carried out on distributions of miniature synaptic current amplitudes, but the accuracy of the test procedure has not been fully validated. We now show that the existence of an amplitude threshold for empirical detection of miniature synaptic currents limits the use of the most common method for detecting multiplicative changes. Our new method circumvents the problem by discarding the potentially distorting subthreshold values after computational scaling. This new method should be useful in assessing the underlying neurophysiological nature of a homeostatic synaptic scaling transformation, and therefore in evaluating its functional significance.
突触强度的体内平衡缩放对于维持网络“增益”至关重要,但也存在失去相对突触权重差异的风险,而相对突触权重可能是记忆存储的细胞相关性。已经提出了所有突触的乘法缩放作为一种机制,该机制将保持它们之间的相对权重,因为它们都会按比例进行调整。对于该假设来说,所有突触都受到相同的影响至关重要,但实际上是否如此,很难直接确定。目前,针对乘法突触缩放的数学测试是在微型突触电流幅度分布上进行的,但测试过程的准确性尚未得到充分验证。我们现在表明,用于经验检测微型突触电流的幅度阈值的存在限制了检测乘法变化的最常用方法的使用。我们的新方法通过在计算缩放后丢弃潜在的失真的亚阈值值来规避该问题。这种新方法应该有助于评估体内平衡突触缩放转换的潜在神经生理性质,从而评估其功能意义。