T-pattern detection and analysis for the discovery of hidden features of behaviour
Autor: | Manfredi Palacino, Stefania Aiello, G. Di Giovanni, M. T. Anguera, Magnus S. Magnusson, F. Faulisi, Oleguer Camerino, Gudberg K. Jonsson, Sílvia Puigarnau, G. Raso, Andrea Santangelo, Marta Castañer, Maurizio Casarrubea, Giuseppe Crescimanno |
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Přispěvatelé: | Casarrubea, M., 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, G., Crescimanno, G. |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Group method of data handling
Computer science Hidden pattern Pattern Recognition Automated 03 medical and health sciences Pattern detection Behavioural sequence 0302 clinical medicine Animals Humans 0501 psychology and cognitive sciences 050102 behavioral science & comparative psychology Behavior business.industry General Neuroscience 05 social sciences T-pattern analysi Pattern recognition Observer (special relativity) Models Theoretical TPA Artificial intelligence business 030217 neurology & neurosurgery Software Neuroscience |
Popis: | 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. |
Databáze: | OpenAIRE |
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