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  Adjudicating between local and global architectures of predictive processing in the subcortical auditory pathway

Tabas, A., & von Kriegstein, K. (2021). Adjudicating between local and global architectures of predictive processing in the subcortical auditory pathway. Frontiers in Neural Circuits, 15: 644743. doi:10.3389/fncir.2021.644743.

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 Creators:
Tabas, Alejandro1, 2, Author           
von Kriegstein, Katharina1, 2, Author           
Affiliations:
1Chair of Cognitive and Clinical Neuroscience, Faculty of Psychology, TU Dresden, Germany, ou_persistent22              
2Max Planck Research Group Neural Mechanisms of Human Communication, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634556              

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Free keywords: Predictive coding; Medial geniculate body; Inferior colliculus; Abstract processing; Sensory coding; Auditory processing; Subcortical sensory pathway
 Abstract: Predictive processing, a leading theoretical framework for sensory processing, suggests that the brain constantly generates predictions on the sensory world and that perception emerges from the comparison between these predictions and the actual sensory input. This requires two distinct neural elements: generative units, which encode the model of the sensory world; and prediction error units, which compare these predictions against the sensory input. Although predictive processing is generally portrayed as a theory of cerebral cortex function, animal and human studies over the last decade have robustly shown the ubiquitous presence of prediction error responses in several nuclei of the auditory, somatosensory, and visual subcortical pathways. In the auditory modality, prediction error is typically elicited using so-called oddball paradigms, where sequences of repeated pure tones with the same pitch are at unpredictable intervals substituted by a tone of deviant frequency. Repeated sounds become predictable promptly and elicit decreasing prediction error; deviant tones break these predictions and elicit large prediction errors. The simplicity of the rules inducing predictability make oddball paradigms agnostic about the origin of the predictions. Here, we introduce two possible models of the organizational topology of the predictive processing auditory network: (1) the global view, that assumes that predictions on the sensory input are generated at high-order levels of the cerebral cortex and transmitted in a cascade of generative models to the subcortical sensory pathways; and (2) the local view, that assumes that independent local models, computed using local information, are used to perform predictions at each processing stage. In the global view information encoding is optimized globally but biases sensory representations along the entire brain according to the subjective views of the observer. The local view results in a diminished coding efficiency, but guarantees in return a robust encoding of the features of sensory input at each processing stage. Although most experimental results to-date are ambiguous in this respect, recent evidence favors the global model.

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Language(s): eng - English
 Dates: 2020-12-212021-02-162021-03-12
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fncir.2021.644743
Other: eCollection 2021
PMID: 33776657
PMC: PMC7994860
 Degree: -

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Project name : -
Grant ID : 647051
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Funding organization : European Research Council (ERC)

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Title: Frontiers in Neural Circuits
Source Genre: Journal
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Publ. Info: Lausanne : Frontiers Research Foundation
Pages: - Volume / Issue: 15 Sequence Number: 644743 Start / End Page: - Identifier: ISSN: 1662-5110
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5110