London Michael, Schreibman Adi, Häusser Michael, Larkum Matthew E, Segev Idan
Department of Neurobiology Institute of Life Sciences and Center for Neural Computation, Hebrew University, Jerusalem 91904, Israel.
Nat Neurosci. 2002 Apr;5(4):332-40. doi: 10.1038/nn826.
We provide a functional measure, the synaptic information efficacy (SIE), to assess the impact of synaptic input on spike output. SIE is the mutual information shared by the presynaptic input and postsynaptic output spike trains. To estimate SIE we used a method based on compression algorithms. This method detects the effect of a single synaptic input on the postsynaptic spike output in the presence of massive background synaptic activity in neuron models of progressively increasing realism. SIE increased with increases either in time locking between the input synapse activity and the output spike or in the average number of output spikes. SIE depended on the context in which the synapse operates. We also measured SIE experimentally. Systematic exploration of the effect of synaptic and dendritic parameters on the SIE offers a fresh look at the synapse as a communication device and a quantitative measure of how much the dendritic synapse informs the axon.
我们提供了一种功能度量，即突触信息效能（SIE），以评估突触输入对尖峰输出的影响。SIE是突触前输入和突触后输出尖峰序列共享的互信息。为了估计SIE，我们使用了一种基于压缩算法的方法。该方法在逼真度逐渐增加的神经元模型中，在存在大量背景突触活动的情况下，检测单个突触输入对突触后尖峰输出的影响。SIE随着输入突触活动与输出尖峰之间的时间锁定增加或输出尖峰的平均数量增加而增加。SIE取决于突触运作的环境。我们还通过实验测量了SIE。对突触和树突参数对SIE影响的系统探索，为将突触视为一种通信设备以及对树突突触向轴突传递信息的程度进行定量测量提供了新的视角。
