Not noisy, just wrong: the role of suboptimal inference in behavioral variability.

Not noisy, just wrong: the role of suboptimal inference in behavioral variability.
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DOI:
10.1016/j.neuron.2012.03.016
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发表时间:
2012-04-12
期刊:
影响因子:
16.2
通讯作者:
Pouget A
Pouget A
中科院分区:
医学1区
文献类型:
--
作者:
Beck JM;Ma WJ;Pitkow X;Latham PE;Pouget A

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即使刺激尽可能保持恒定,行为也会因试验而异。在许多模型中,这种可变性归因于大脑中的噪声。在这里,我们提出,有另一个主要来源的可变性:次优推理。重要的是,我们认为,在大多数感兴趣的任务,特别是复杂的,次优推理很可能是行为变异的主要组成部分。这一观点解释了各种有趣的观察结果,包括为什么感觉方面的可变性似乎比运动方面更大,以及为什么我们的传感器有时令人惊讶地不可靠。
Behavior varies from trial to trial even when the stimulus is maintained as constant as possible. In many models, this variability is attributed to noise in the brain. Here, we propose that there is another major source of variability: suboptimal inference. Importantly, we argue that in most tasks of interest, and particularly complex ones, suboptimal inference is likely to be the dominant component of behavioral variability. This perspective explains a variety of intriguing observations, including why variability appears to be larger on the sensory than on the motor side, and why our sensors are sometimes surprisingly unreliable.
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