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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/90329
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dc.contributor.authorCasarrubea, Maurizio-
dc.contributor.authorMagnusson, M. S.-
dc.contributor.authorAnguera, M.T.-
dc.contributor.authorJonsson, G.K.-
dc.contributor.authorCastañer, M.-
dc.contributor.authorSantangelo, A.-
dc.contributor.authorPalacino, M.-
dc.contributor.authorAiello, S.-
dc.contributor.authorFaulisi, F.-
dc.contributor.authorRaso, G.-
dc.contributor.authorPuigarnau, S.-
dc.contributor.authorCamerino, O.-
dc.contributor.authorDi Giovanni, Giuseppe-
dc.contributor.authorCrescimanno, Giuseppe-
dc.date.accessioned2022-03-03T12:58:48Z-
dc.date.available2022-03-03T12:58:48Z-
dc.date.issued2018-12-
dc.identifier.citationCasarrubea, 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.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/90329-
dc.description.abstractBACKGROUND: 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.en_GB
dc.description.abstractMETHOD: 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.en_GB
dc.description.abstractRESULTS: 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.en_GB
dc.description.abstractCONCLUSION: 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.en_GB
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectBehavioral assessment -- Researchen_GB
dc.subjectBehavioral assessment -- Methodologyen_GB
dc.subjectHuman behavioren_GB
dc.subjectBehavioral sciencesen_GB
dc.titleT-pattern detection and analysis for the discovery of hidden features of behaviouren_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1016/j.jneumeth.2018.06.013-
dc.publication.titleJournal of Neuroscience Methodsen_GB
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