Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/90329
Title: T-pattern detection and analysis for the discovery of hidden features of behaviour
Authors: Casarrubea, Maurizio
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, Giuseppe
Crescimanno, Giuseppe
Keywords: Behavioral assessment -- Research
Behavioral assessment -- Methodology
Human behavior
Behavioral sciences
Issue Date: 2018-12
Publisher: Elsevier
Citation: Casarrubea, M., Magnusson, M., Anguera, M., Jonsson, G., Castañer, M., Santangelo, A., ... Crescimanno, G. (2018). T-pattern detection and analysis for the discovery of hidden features of behaviour. Journal of Neuroscience Methods, 310, 24-32.
Abstract: 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.
URI: https://www.um.edu.mt/library/oar/handle/123456789/90329
Appears in Collections:Scholarly Works - FacM&SPB

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