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J Neurosci Methods ; 310: 24-32, 2018 12 01.
Artículo en Inglés | MEDLINE | ID: mdl-29935197

RESUMEN

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.


Asunto(s)
Conducta/fisiología , Modelos Teóricos , Reconocimiento de Normas Patrones Automatizadas/métodos , Animales , Humanos , Programas Informáticos
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