奥地利科学技术研究所Wiktor F. Mynarski与美国霍华德休斯医学研究所Ann M. Hermundstad合作破译高效和适应性的感官代码。2021年5月20日，《自然—神经科学》杂志在线发表了这项成果。
研究人员开发了一个理论框架，可以从信息处理的角度考虑适应的动态。研究人员使用此框架来优化和分析了适应性感官代码，并证明了针对固定环境优化的代码在环境变化时可能会长期遭受性能不佳的困扰。为了减轻这些环境变化的对抗性影响，感觉系统必须在准确编码传入刺激的能力与快速检测并适应这些刺激分布变化的能力之间权衡取舍。
研究人员得出了平衡这些目标的代码，并证明了它们与实验观察到的神经动力学的紧密匹配。这些结果为跨越各种感官系统、环境和感官任务的适应提供了统一的观点。
据介绍，适应刺激统计变化的能力是感觉系统的标志。
附：英文原文
Title: Efficient and adaptive sensory codes
Author: Wiktor F. Mynarski, Ann M. Hermundstad
Issue&Volume: 2021-05-20
Abstract: The ability to adapt to changes in stimulus statistics is a hallmark of sensory systems. Here, we developed a theoretical framework that can account for the dynamics of adaptation from an information processing perspective. We use this framework to optimize and analyze adaptive sensory codes, and we show that codes optimized for stationary environments can suffer from prolonged periods of poor performance when the environment changes. To mitigate the adversarial effects of these environmental changes, sensory systems must navigate tradeoffs between the ability to accurately encode incoming stimuli and the ability to rapidly detect and adapt to changes in the distribution of these stimuli. We derive families of codes that balance these objectives, and we demonstrate their close match to experimentally observed neural dynamics during mean and variance adaptation. Our results provide a unifying perspective on adaptation across a range of sensory systems, environments, and sensory tasks.
DOI: 10.1038/s41593-021-00846-0
Source: https://www.nature.com/articles/s41593-021-00846-0
Nature Neuroscience：《自然—神经科学》，创刊于1998年。隶属于施普林格·自然出版集团，最新IF：28.771
官方网址：https://www.nature.com/neuro/
投稿链接：https://mts-nn.nature.com/cgi-bin/main.plex
本期文章：《自然—神经科学》：Online/在线发表
