Convergent evidence for hierarchical prediction networks from human electrocorticography and magnetoencephalography

We propose that sensory inputs are processed in terms of optimised predictions and prediction error signals within hierarchical neurocognitive models. The combination of non-invasive brain imaging and generative network models has provided support for hierarchical frontotemporal interactions in oddb...

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Detalles Bibliográficos
Autores principales: Phillips, Holly N., Blenkmann, Alejandro, Hughes, Laura E., Kochen, Silvia, Bekinschtein, Tristan A., Cam-CAN, Rowe, James B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Masson 2016
Materias:
Research Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981429/
https://www.ncbi.nlm.nih.gov/pubmed/27389803
http://dx.doi.org/10.1016/j.cortex.2016.05.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981429/
https://www.ncbi.nlm.nih.gov/pubmed/27389803
http://dx.doi.org/10.1016/j.cortex.2016.05.001

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