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Published on: August 30, 2013
T-pattern detection and analysis for the discovery of hidden features of behaviour
M Casarrubea1, M S Magnusson2, M T Anguera3
1Laboratory of Behavioral Physiology, Department of Experimental Biomedicine and Clinical Neurosciences (Bio.Ne.C.), Human Physiology Section "Giuseppe Pagano", University of Palermo, Italy.
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.
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