A framework to identify structured behavioral patterns within rodent spatial trajectories
Abstract Animal behavior is highly structured. Yet, structured behavioral patterns—or “statistical ethograms”—are not immediately apparent from the full spatiotemporal data that behavioral scientists usually collect. Here, we introduce a framework to quantitatively characterize rodent behavior durin...
Guardado en:
Autores principales: | Francesco Donnarumma, Roberto Prevete, Domenico Maisto, Simone Fuscone, Emily M. Irvine, Matthijs A. A. van der Meer, Caleb Kemere, Giovanni Pezzulo |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9c9220afc71d49d291463aa7569b5061 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Unpredictability of escape trajectory explains predator evasion ability and microhabitat preference of desert rodents
por: Talia Y. Moore, et al.
Publicado: (2017) -
Regulating the spatial distribution of metal nanoparticles within metal-organic frameworks to enhance catalytic efficiency
por: Qiu Yang, et al.
Publicado: (2017) -
LineageOT is a unified framework for lineage tracing and trajectory inference
por: Aden Forrow, et al.
Publicado: (2021) -
Unique evolutionary trajectories of breast cancers with distinct genomic and spatial heterogeneity
por: Tanya N. Phung, et al.
Publicado: (2021) -
Development of the active spatial rolling contact pair to generate the specified trajectory
por: Naoto KIMURA, et al.
Publicado: (2021)