TY - JOUR
T1 - T-pattern detection and analysis for the discovery of hidden features of behaviour
AU - Aiello, Stefania
AU - Crescimanno, Giuseppe
AU - Faulisi, Fabiana
AU - Casarrubea, Maurizio
AU - Camerino, null
AU - Castañer, null
AU - Santangelo, null
AU - Puigarnau, null
AU - Anguera, null
AU - Di Giovanni, null
AU - Magnusson, Magnus S.
AU - Jonsson, null
AU - Palacino, Manfredi
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10447/339131
UR - http://www.elsevier.com/locate/jneumeth
M3 - Article
VL - 310
SP - 24
EP - 32
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
SN - 0165-0270
ER -