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The effect of neural adaptation on population coding accuracy

机译：神经适应对种群编码精度的影响

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Most neurons in the primary visual cortex initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. The functional consequences of adaptation are unclear. Typically a reduction of firing rate would reduce single neuron accuracy as less spikes are available for decoding, but it has been suggested that on the population level, adaptation increases coding accuracy. This question requires careful analysis as adaptation not only changes the firing rates of neurons, but also the neural variability and correlations between neurons, which affect coding accuracy as well. We calculate the coding accuracy using a computational model that implements two forms of adaptation: spike frequency adaptation and synaptic adaptation in the form of short-term synaptic plasticity. We find that the net effect of adaptation is subtle and heterogeneous. Depending on adaptation mechanism and test stimulus, adaptation can either increase or decrease coding accuracy. We discuss the neurophysiological and psychophysical implications of the findings and relate it to published experimental data.
机译：当出现首选刺激时，初级视觉皮层中的大多数神经元最初会剧烈反应，但随着刺激的持续而适应。适应的功能后果尚不清楚。通常，发射速率的降低会降低单个神经元的精度，因为可用于解码的尖峰更少，但是已经提出，在总体水平上，适应性会提高编码精度。这个问题需要仔细分析，因为适应不仅会改变神经元的放电率，而且还会改变神经元之间的神经变异性和相关性，这也会影响编码的准确性。我们使用实现两种形式的自适应的计算模型来计算编码精度：尖峰频率自适应和短期突触可塑性形式的突触自适应。我们发现，适应的净效果是微妙而异质的。根据适应机制和测试刺激，适应可以提高或降低编码精度。我们讨论了发现的神经生理学和心理生理学意义，并将其与已发表的实验数据相关联。

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