Your browser doesn't support javascript.
loading
Learning Naturalistic Temporal Structure in the Posterior Medial Network.
Aly, Mariam; Chen, Janice; Turk-Browne, Nicholas B; Hasson, Uri.
Afiliação
  • Aly M; Princeton University.
  • Chen J; Columbia University.
  • Turk-Browne NB; Princeton University.
  • Hasson U; Johns Hopkins University.
J Cogn Neurosci ; 30(9): 1345-1365, 2018 09.
Article em En | MEDLINE | ID: mdl-30004848
ABSTRACT
The posterior medial network is at the apex of a temporal integration hierarchy in the brain, integrating information over many seconds of viewing intact, but not scrambled, movies. This has been interpreted as an effect of temporal structure. Such structure in movies depends on preexisting event schemas, but temporal structure can also arise de novo from learning. Here, we examined the relative role of schema-consistent temporal structure and arbitrary but consistent temporal structure on the human posterior medial network. We tested whether, with repeated viewing, the network becomes engaged by scrambled movies with temporal structure. Replicating prior studies, activity in posterior medial regions was immediately locked to stimulus structure upon exposure to intact, but not scrambled, movies. However, for temporally structured scrambled movies, functional coupling within the network increased across stimulus repetitions, rising to the level of intact movies. Thus, temporal structure is a key determinant of network dynamics and function in the posterior medial network.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Percepção Auditiva / Percepção do Tempo / Percepção Visual / Encéfalo / Aprendizagem Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Percepção Auditiva / Percepção do Tempo / Percepção Visual / Encéfalo / Aprendizagem Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article