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An Improved Test for Detecting Multiplicative Homeostatic Synaptic Scaling

机译：一种用于检测乘势稳态突触缩放的改进测试

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摘要

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.
机译：突触强度的稳态缩放对于维持网络“增益”必不可少，但也存在失去相对突触权重之间差异的风险，这些相对突触权重可能是内存存储的细胞关联。已经提出所有突触的相乘缩放作为一种机制来保留它们之间的相对权重，因为它们都将按比例调整。对于该假设至关重要的是，所有突触均受到相同的影响，但是很难确定是否确实发生了这种突触。目前，正在对微型突触电流幅度的分布进行乘法突触缩放的数学测试，但是测试过程的准确性尚未得到充分验证。现在我们表明，经验性检测微型突触电流的幅度阈值的存在限制了用于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可能失真的亚阈值来解决该问题。这种新方法应可用于评估稳态突触缩放转换的潜在神经生理学性质，从而评估其功能意义。

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