Latency reduction in postsynaptic spikes is a well-known effect of spiking time-dependent plasticity. We expand this notion for long postsynaptic spike trains on single neurons, showing that, for a fixed input spike train, STDP reduces the number of postsynaptic spikes and concentrates the remaining ones. Then, we study the consequences of this phenomena in terms of coding, finding that this mechanism improves the neural code by increasing the signal-to-noise ratio and lowering the metabolic costs of frequent stimuli. Finally, we illustrate that the reduction in postsynaptic latencies can lead to the emergence of predictions.

中文翻译：

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随时间变化的可塑性会导致有效的预测编码

突触后突峰的延迟减少是峰值的时间依赖性可塑性的众所周知的效果。我们将这一概念扩展为单个神经元上的长突触后突波序列，这表明，对于固定的输入突波列，STDP减少了突触后突波的数量，并将其余突波集中。然后，我们研究了这种现象在编码方面的后果，发现这种机制通过增加信噪比并降低了频繁刺激的代谢成本来改善了神经编码。最后，我们说明了突触后延迟的减少可能导致预测的出现。