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Cited by 647

The DOI matches its Crossref record; 190 of the 190 references it cites were found in a registry or an index.

Prediction, cognition and the brain

Open access
Bubic·2010·Frontiers in Human Neuroscience

Abstract

The term "predictive brain" depicts one of the most relevant concepts in cognitive neuroscience which emphasizes the importance of "looking into the future", namely prediction, preparation, anticipation, prospection or expectations in various cognitive domains. Analogously, it has been suggested that predictive processing represents one of the fundamental principles of neural computations and that errors of prediction may be crucial for driving neural and cognitive processes as well as behavior. This review discusses research areas which have recognized the importance of prediction and introduces the relevant terminology and leading theories in the field in an attempt to abstract some generative mechanisms of predictive processing. Furthermore, we discuss the process of testing the validity of postulated expectations by matching these to the realized events and compare the subsequent processing of events which confirm to those which violate the initial predictions. We conclude by suggesting that, although a lot is known about this type of processing, there are still many open issues which need to be resolved before a unified theory of predictive processing can be postulated with regard to both cognitive and neural functioning.

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Crossref · 10.3389/fnhum.2010.00025

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Metadata

Authors
Bubic
Venue
Frontiers in Human Neuroscience
Published
2010
Volume
4
Pages
25-25
ISSN
1662-5161 (ISSN-L)
OpenAlex
W1984383922
Cited by
647
References
190
FWCI
18.28
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Prediction, cognition and the brain. https://app.cochat.ai/papers/10.3389/fnhum.2010.00025
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Bubic. (2010). Prediction, cognition and the brain. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2010.00025

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.