Výsledky vyhledávání - "Bekinschtein, Tristán Andrés"

Convergent evidence for hierarchical prediction networks from human electrocorticography and magnetoencephalography

Autor: Phillips, Holly N., Blenkmann, Alejandro Omar, Hughes, Laura E., Kochen, Sara Silvia, Bekinschtein, Tristán Andrés, Cambridge Centre for Ageing and Neuroscience, Rowe, James B.

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

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 fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::af95d961aa2e73e2cbd8c4f71ac2efb0
https://www.sciencedirect.com/science/article/pii/S0010945216301058

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Hierarchical Organization of Frontotemporal Networks for the Prediction of Stimuli across Multiple Dimensions

Autor: Phillips, Holly N., Blenkmann, Alejandro Omar, Hughes, Laura E., Bekinschtein, Tristán Andrés, Rowe, James B.

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

Brain function can be conceived as a hierarchy of generative models that optimizes predictions of sensory inputs and minimizes “surprise.” Each level of the hierarchy makes predictions of neural events at a lower level in the hierarchy, which ret

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::938f46cd1d10a107982f1241b62f195b
https://www.repository.cam.ac.uk/handle/1810/253599

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