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RESEARCH PRODUCT
T-pattern detection and analysis for the discovery of hidden features of behaviour
Manfredi PalacinoStefania AielloG. Di GiovanniM. T. AngueraMagnus S. MagnussonF. FaulisiOleguer CamerinoGudberg K. JonssonSílvia PuigarnauG. RasoAndrea SantangeloMarta CastañerMaurizio CasarrubeaGiuseppe Crescimannosubject
Group method of data handlingComputer scienceHidden patternPattern Recognition Automated03 medical and health sciencesPattern detectionBehavioural sequence0302 clinical medicineAnimalsHumans0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyBehaviorbusiness.industryGeneral Neuroscience05 social sciencesT-pattern analysiPattern recognitionObserver (special relativity)Models TheoreticalTPAArtificial intelligencebusiness030217 neurology & neurosurgerySoftwareNeurosciencedescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-12-01 |