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Population coding with unreliable spikes

机译:峰值不可靠的人口编码

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摘要

The need for a neuronal coding scheme that is robust against the corruption of action potentials seems to support the idea of population rate coding, where the relevance of a single spike decreases proportional to the increase of population size. In order to test this intuition, we here investigate the efficiency and robustness of a population rate coding scheme in comparison to a place coding scheme using identical noise model. It turns out that the efficiency of population rate coding is substantially worse than that of place coding even if the generation or propagation of spikes are highly unreliable processes.
机译:对神经元编码方案的需求很强,可以抵抗动作电位的破坏,这似乎支持了人口比率编码的思想,其中单个峰值的相关性与人口规模的增加成比例地降低。为了检验这种直觉,我们在这里研究人口比率编码方案与使用相同噪声模型的位置编码方案相比的效率和鲁棒性。事实证明,即使尖峰的生成或传播是高度不可靠的过程,总体速率编码的效率也比位置编码的效率差。

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