Leg-tracking and automated behavioural classification in Drosophila.
Nat Commun
; 4: 1910, 2013.
Article
em En
| MEDLINE
| ID: mdl-23715269
ABSTRACT
Much remains unknown about how the nervous system of an animal generates behaviour, and even less is known about the evolution of behaviour. How does evolution alter existing behaviours or invent novel ones? Progress in computational techniques and equipment will allow these broad, complex questions to be explored in great detail. Here we present a method for tracking each leg of a fruit fly behaving spontaneously upon a trackball, in real time. Legs were tracked with infrared-fluorescent dyes invisible to the fly, and compatible with two-photon microscopy and controlled visual stimuli. We developed machine-learning classifiers to identify instances of numerous behavioural features (for example, walking, turning and grooming), thus producing the highest-resolution ethological profiles for individual flies.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Comportamento Animal
/
Drosophila melanogaster
/
Etologia
/
Extremidades
Limite:
Animals
Idioma:
En
Revista:
Nat Commun
Assunto da revista:
BIOLOGIA
/
CIENCIA
Ano de publicação:
2013
Tipo de documento:
Article
País de afiliação:
Estados Unidos