T 模式检测与分析：揭示行为隐藏特征的新方法。
T-pattern detection and analysis for the discovery of hidden features of behaviour.
机构信息
Laboratory of Behavioral Physiology, Department of Experimental Biomedicine and Clinical Neurosciences (Bio.Ne.C.), Human Physiology Section "Giuseppe Pagano", University of Palermo, Italy.
Human Behavior Laboratory, University of Iceland, Reykjavik, Iceland.
出版信息
J Neurosci Methods. 2018 Dec 1;310:24-32. doi: 10.1016/j.jneumeth.2018.06.013. Epub 2018 Jun 20.
BACKGROUND
The behaviour of all living beings consists of hidden patterns in time; consequently, its nature and its underlying dynamics are intrinsically difficult to be perceived and detected by the unaided observer.
METHOD
Such a scientific challenge calls for improved means of detection, data handling and analysis. By using a powerful and versatile technique known as T-pattern detection and analysis (TPA) it is possible to unveil hidden relationships among the behavioural events in time.
RESULTS
TPA is demonstrated to be a solid and versatile tool to study the deep structure of behaviour in different experimental contexts, both in human and non human subjects.
CONCLUSION
This review deepens and extends contents recently published by adding new concepts and examples concerning the applications of TPA in the study of behaviour both in human and non-human subjects.
背景
所有生物的行为都包含时间中的隐藏模式；因此，其性质和潜在动态本质上很难被未经训练的观察者察觉和检测。
方法
这种科学挑战需要改进的检测、数据处理和分析手段。通过使用一种强大且多功能的技术，即 T 模式检测和分析 (TPA)，可以揭示时间中行为事件之间隐藏的关系。
结果
TPA 被证明是一种可靠且多功能的工具，可用于在不同的实验环境中研究行为的深层结构，包括人类和非人类受试者。
结论
本综述通过添加关于 TPA 在人类和非人类受试者行为研究中的应用的新概念和示例，深化和扩展了最近发表的内容。
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