Partial information decomposition allows the joint mutual information between an output and a set of inputs to be divided into components that are synergistic or shared or unique to each input. We consider five different decompositions and compare their results on data from layer 5b pyramidal cells in two different studies. The first study was of the amplification of somatic action potential output by apical dendritic input and its regulation by dendritic inhibition. We find that two of the decompositions produce much larger estimates of synergy and shared information than the others, as well as large levels of unique misinformation. When within-neuron differences in the components are examined, the five methods produce more similar results for all but the shared information component, for which two methods produce a different statistical conclusion from the others. There are some differences in the expression of unique information asymmetry among the methods. It is significantly larger, on average, under dendritic inhibition. Three of the methods support a previous conclusion that apical amplification is reduced by dendritic inhibition. The second study used a detailed compartmental model to produce action potentials for many combinations of the numbers of basal and apical synaptic inputs. Two analyses of decompositions are conducted on subsets of the data. In the first, the decompositions reveal a bifurcation in unique information asymmetry. For three of the methods this suggests that apical drive switches to basal drive as the strength of the basal input increases, while the other two show changing mixtures of information and misinformation. Decompositions produced using the second set of subsets show that all five decompositions provide support for properties of cooperative context-sensitivity - to varying extents.
翻译:部分信息分解可以将输出和一组输入之间的共同信息分为协同或共享或每个输入独有的元件。 在两个不同的研究中,我们考虑五个不同的分解,并比较它们从层5b金字形单元格中的数据结果。 第一项研究是大气登心体输入的体外行动潜在输出的放大,以及它通过登心抑制的调节。 我们发现, 两种分解产生对协同效应和共享信息的估计数比其他的要大得多, 以及大量独特的错误信息。 当检查各个元件的中中中中值差异时,五种方法产生更相似的结果, 但共享的信息元件除外, 其中两种方法产生不同的统计结论。 两种方法在方法中独特的信息不对称的表达方式上存在一些差异。 平均而言, 密度抑制下比较大得多。 三种方法支持了先前的结论, 一种是, 红心心体进心体输入的精度比其他输入的精度, 第二项研究使用一个详细的分包模型来产生许多动作组合。 将各种正心变变的值数据进行两次的分解分析, 以显示双向的分变的分解方式显示数据。 。 。