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首页> 外文会议>Conference on BioMEMS and Nanotechnology; 20071205-07; Canberra(AU) >Signal compression in biological sensory systems: Information theoretic performance limits
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Signal compression in biological sensory systems: Information theoretic performance limits

机译：生物传感系统中的信号压缩：信息理论性能极限

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摘要

The intensity of analog stimuli, such as the loudness of sounds, is converted by our biological sensory systems into short duration electrical pulses in nerve fibres. These pulses are known as action potentials. In many cases, the transduction process that converts stimulus intensity into an action-potential encoding introduces significant randomness that appears to reduce the quality of the encoding. Due to this inherent random noise, it is the average rate at which action potentials are produced, rather than the instantaneous rate, that encodes stimulus amplitude. In this paper the limits of performance of this transduction process are analyzed using an information theoretic perspective of neural rate coding.
机译：我们的生物感官系统将模拟刺激的强度（例如声音的响度）转换为神经纤维中的短时电脉冲。这些脉冲称为动作电位。在许多情况下，将刺激强度转换为动作电位编码的转导过程会引入明显的随机性，这似乎会降低编码的质量。由于这种固有的随机噪声，编码动作幅度的是产生动作电位的平均速率，而不是瞬时速率。在本文中，使用神经速率编码的信息理论观点分析了这种转导过程的性能极限。

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