Editorial: Predictive mechanisms in action, perception, cognition, and clinical disorders

Anila M D'Mello; Patric Bach; Philip R Corlett; Liron Rozenkrantz

doi:10.3389/fnhum.2022.1005905

Editorial: Predictive mechanisms in action, perception, cognition, and clinical disorders

Anila M D'Mello, Patric Bach, Philip R Corlett, Liron Rozenkrantz

Psychology

Research output: Contribution to journal › Editorial › peer-review

Abstract

The world is a noisy place, and people must decide which inputs are meaningful, which are uninformative, and how to use incoming information to optimize their behavior in different contexts. It has been argued that rather than passively processing incoming information, we use past experience to form predictions about what is likely to occur in the future. These predictions allow us to make sense of noisy or ambiguous inputs, make decisions despite uncertainty, and act efficiently and proactively, without having to wait for sensory feedback...

Original language	English
Pages (from-to)	1005905
Journal	Frontiers in Human Neuroscience
Volume	16
DOIs	https://doi.org/10.3389/fnhum.2022.1005905
Publication status	Published - 31 Aug 2022

Keywords

action
perception
cognition
disorders
predictive frameworks
prediction

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10.3389/fnhum.2022.1005905

D'Mello_etal_FHN_Editorial_Predictive_Mechanisms_VOR
© 2022 D'Mello, Bach, Corlett and Rozenkrantz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Final published version, 103 KBLicence: CC BY

Cite this

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title = "Editorial: Predictive mechanisms in action, perception, cognition, and clinical disorders",

abstract = "The world is a noisy place, and people must decide which inputs are meaningful, which are uninformative, and how to use incoming information to optimize their behavior in different contexts. It has been argued that rather than passively processing incoming information, we use past experience to form predictions about what is likely to occur in the future. These predictions allow us to make sense of noisy or ambiguous inputs, make decisions despite uncertainty, and act efficiently and proactively, without having to wait for sensory feedback...",

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author = "D'Mello, {Anila M} and Patric Bach and Corlett, {Philip R} and Liron Rozenkrantz",

note = "Acknowledgments The authors would like to acknowledge their funding sources (NIH F32 MH117933 to AD, Alon Fellowship to LR).",

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AU - D'Mello, Anila M

AU - Bach, Patric

AU - Corlett, Philip R

AU - Rozenkrantz, Liron

N1 - Acknowledgments The authors would like to acknowledge their funding sources (NIH F32 MH117933 to AD, Alon Fellowship to LR).

PY - 2022/8/31

Y1 - 2022/8/31

N2 - The world is a noisy place, and people must decide which inputs are meaningful, which are uninformative, and how to use incoming information to optimize their behavior in different contexts. It has been argued that rather than passively processing incoming information, we use past experience to form predictions about what is likely to occur in the future. These predictions allow us to make sense of noisy or ambiguous inputs, make decisions despite uncertainty, and act efficiently and proactively, without having to wait for sensory feedback...

AB - The world is a noisy place, and people must decide which inputs are meaningful, which are uninformative, and how to use incoming information to optimize their behavior in different contexts. It has been argued that rather than passively processing incoming information, we use past experience to form predictions about what is likely to occur in the future. These predictions allow us to make sense of noisy or ambiguous inputs, make decisions despite uncertainty, and act efficiently and proactively, without having to wait for sensory feedback...

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KW - perception

KW - cognition

KW - disorders

KW - predictive frameworks

KW - prediction

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DO - 10.3389/fnhum.2022.1005905

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JO - Frontiers in Human Neuroscience

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SN - 1662-5161

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Editorial: Predictive mechanisms in action, perception, cognition, and clinical disorders

Abstract

Keywords

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