T-pattern detection and analysis for the discovery of hidden features of behaviour

Publication date: Available online 20 June 2018
Source:Journal of Neuroscience Methods
Author(s): M. Casarrubea, M.S. Magnusson, M.T. Anguera, G.K. Jonsson, M. Castañer, A. Santangelo, M. Palacino, S. Aiello, F. Faulisi, G. Raso, S. Puigarnau, O. Camerino, G. Di Giovanni, G. Crescimanno
BackgroundThe 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.MethodSuch 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.ResultsTPA 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.ConclusionThis 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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