Abstract Response behaviors of animals to stressors are complicated. Especially, it is difficult to analyze temporal data in addressing the time course development of behavioral states to stressors. Not much study has been conducted in identifying the short-term behavior conditions of indicator organisms responding to stressors. Hence, in the present study, we selected three temporal networks, Temporal Kohonen Map (TKM), Recurrent Self-Organizing Map (RSOM), and Recursive Self-Organizing Map (RecSOM) to characterize the behavior strength of individual fish exposed to Atrazine (ATZ, 0.12 mg/L) for 15 days. The trained networks were able to detect the characteristic behavior strength segments presenting the Stepwise Behavior Response Model (SBRM). TKM was found suitable for detecting strong curves in a short training time, but clustering was limited in grouped segments. In contrast, RecSOM was found to be most suitable for detecting behavior segments with both high and low contrast response under toxic exposure. RecSOM was effective in clustering but could not detect segments with strong changes. Finally, our results presented that the temporal SOMs, especially RecSOMs, were feasible in identifying short-term time series data and could be utilized for on-line monitoring of test organisms under stressful conditions.

中文翻译：

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时间自组织图在模拟鱼类响应环境压力的短时间序列中的应用

摘要 动物对压力源的反应行为是复杂的。特别是，在解决行为状态对压力源的时间过程发展时，很难分析时间数据。在确定指示生物对压力源作出反应的短期行为条件方面，没有进行太多研究。因此，在本研究中，我们选择了三个时间网络，时间 Kohonen 图 (TKM)、循环自组织图 (RSOM) 和递归自组织图 (RecSOM) 来表征暴露于莠去津的个体鱼的行为强度。 ATZ，0.12 毫克/升），持续 15 天。训练有素的网络能够检测呈现逐步行为响应模型 (SBRM) 的特征行为强度段。TKM 被发现适合在较短的训练时间内检测强曲线，但聚类仅限于分组段。相比之下，RecSOM 被发现最适合检测有毒暴露下具有高对比度和低对比度响应的行为片段。RecSOM 在聚类方面是有效的，但无法检测到变化很大的段。最后，我们的结果表明，时间 SOM，尤其是 RecSOM，在识别短期时间序列数据方面是可行的，并可用于在压力条件下对测试生物进行在线监测。