《噪声的救赎：神经群体推断》
The Redemption of Noise: Inference with Neural Populations.
机构信息
Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge, UK.
Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge, UK; Department of Cognitive Science, Central European University, Budapest, Hungary.
出版信息
Trends Neurosci. 2018 Nov;41(11):767-770. doi: 10.1016/j.tins.2018.09.003.
In 2006, Ma et al. (Nat. Neurosci. 1006;9:1432-1438) presented an elegant theory for how populations of neurons might represent uncertainty to perform Bayesian inference. Critically, according to this theory, neural variability is no longer a nuisance, but rather a vital part of how the brain encodes probability distributions and performs computations with them.
2006 年，马等人（Nat. Neurosci. 1006;9:1432-1438）提出了一个优雅的理论，阐述了神经元群体如何代表不确定性以进行贝叶斯推理。关键的是，根据这一理论，神经变异性不再是一个麻烦，而是大脑如何对概率分布进行编码并对其进行计算的重要组成部分。
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