T-pattern detection and analysis for the discovery of hidden features of behaviour
- Autori: Casarrubea, M.*; Magnusson, M.S.; Anguera, M.T.; Jonsson, G.K.; Castañer, M.; Santangelo, A.; Palacino, M.; Aiello, S.; Faulisi, F.; Raso, G.; Puigarnau, S.; Camerino, O.; Di Giovanni, G.; Crescimanno, G.
- Anno di pubblicazione: 2018
- Tipologia: Review essay (rassegna critica) (Articolo in rivista)
- OA Link: http://hdl.handle.net/10447/339131
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.