Statistical coding and decoding of heartbeat intervals.
Statistical coding and decoding of heartbeat intervals.
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DOI：
10.1371/journal.pone.0020227
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发表时间：
2011
期刊：
影响因子：
3.7
通讯作者：
Ohnishi N
中科院分区：
文献类型：
--
作者：
Lucena F;Barros AK;Príncipe JC;Ohnishi N
心脏将神经调节信息整合到特定的频带中，使得心输出量的整体幅度谱反映自主神经系统的变化。这种调节机制似乎可以很好地适应心脏需求的不可预测性，从而维持适当的心脏调节。一个长期存在的理论认为，面对不断变化的环境的生物有机体可能会进化出适应机制来提取基本特征以调整其行为。然而，关键问题是理解神经电路如何自组织这些特征检测器来选择行为相关的信息。先前的计算感知研究表明，神经群体通过最小化刺激的统计冗余来增强对生存重要的信息。在此，我们研究心脏系统是否利用冗余减少策略来调节心律。基于针对心跳间隔进行优化的神经过滤器网络，我们学习了一种群体代码，可以最大化整个神经集合中的信息。新兴的群体代码显示了滤波器调整特性，其特征解释了自主心脏调节的各个方面，例如快速和慢速心脏反应之间的折衷。我们表明，滤波器产生的响应在数量上与直接交感神经或副交感神经刺激期间观察到的心率响应相似。我们的研究结果表明，心脏根据信息论原理解码自主刺激，类似于感觉系统如何编码感知线索。
The heart integrates neuroregulatory messages into specific bands of frequency, such that the overall amplitude spectrum of the cardiac output reflects the variations of the autonomic nervous system. This modulatory mechanism seems to be well adjusted to the unpredictability of the cardiac demand, maintaining a proper cardiac regulation. A longstanding theory holds that biological organisms facing an ever-changing environment are likely to evolve adaptive mechanisms to extract essential features in order to adjust their behavior. The key question, however, has been to understand how the neural circuitry self-organizes these feature detectors to select behaviorally relevant information. Previous studies in computational perception suggest that a neural population enhances information that is important for survival by minimizing the statistical redundancy of the stimuli. Herein we investigate whether the cardiac system makes use of a redundancy reduction strategy to regulate the cardiac rhythm. Based on a network of neural filters optimized to code heartbeat intervals, we learn a population code that maximizes the information across the neural ensemble. The emerging population code displays filter tuning proprieties whose characteristics explain diverse aspects of the autonomic cardiac regulation, such as the compromise between fast and slow cardiac responses. We show that the filters yield responses that are quantitatively similar to observed heart rate responses during direct sympathetic or parasympathetic nerve stimulation. Our findings suggest that the heart decodes autonomic stimuli according to information theory principles analogous to how perceptual cues are encoded by sensory systems.
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