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自适应重缩放可使信息传输最大化。

Adaptive rescaling maximizes information transmission.

作者信息

Brenner N, Bialek W, de Ruyter van Steveninck R

机构信息

NEC Research Institute, Princeton, New Jersey 08540, USA.

出版信息

Neuron. 2000 Jun;26(3):695-702. doi: 10.1016/s0896-6273(00)81205-2.

Abstract

Adaptation is a widespread phenomenon in nervous systems, providing flexibility to function under varying external conditions. Here, we relate an adaptive property of a sensory system directly to its function as a carrier of information about input signals. We show that the input/output relation of a sensory system in a dynamic environment changes with the statistical properties of the environment. Specifically, when the dynamic range of inputs changes, the input/output relation rescales so as to match the dynamic range of responses to that of the inputs. We give direct evidence that the scaling of the input/output relation is set to maximize information transmission for each distribution of signals. This adaptive behavior should be particularly useful in dealing with the intermittent statistics of natural signals.

摘要

适应性是神经系统中一种普遍存在的现象,它使神经系统能够在不同的外部条件下灵活发挥功能。在此,我们将感觉系统的一种适应性特性与其作为输入信号信息载体的功能直接联系起来。我们表明,在动态环境中,感觉系统的输入/输出关系会随着环境的统计特性而变化。具体而言,当输入的动态范围发生变化时,输入/输出关系会重新缩放,以使其响应的动态范围与输入的动态范围相匹配。我们提供了直接证据,证明输入/输出关系的缩放设置是为了在每种信号分布下最大化信息传输。这种适应性行为在处理自然信号的间歇性统计特性时应该特别有用。

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