Forward models of repetition suppression depend critically on assumptions of noise and granularity
Guardado en:
Autores principales: | Fernando M. Ramírez, Elisha P. Merriam |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e9113eeaf0764912a909cf4e930304e7 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Reply to ‘Forward models of repetition suppression depend critically on assumptions of noise and granularity’
por: Arjen Alink, et al.
Publicado: (2020) -
Forward models demonstrate that repetition suppression is best modelled by local neural scaling
por: Arjen Alink, et al.
Publicado: (2018) -
Stimulus-dependent state transition between synchronized oscillation and randomly repetitive burst in a model cerebellar granular layer.
por: Takeru Honda, et al.
Publicado: (2011) -
Repetitive visual cortex transcranial random noise stimulation in adults with amblyopia
por: Richard Donkor, et al.
Publicado: (2021) -
Repetition suppression to objects is modulated by stimulus-specific expectations
por: Christian Utzerath, et al.
Publicado: (2017)