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Electronic Resource

Brain Oscillations and Predictive Coding: What We Know and What We Should Learn

Roumen Kirov - Personal Name;

Predictive coding (PC) is a neurocognitive concept, according to which the brain does not process the whole qualia of external information, but only residual mismatches occurring between incoming information and an individual, inner model of the world. At the time of issue initiation, I expected an essential focus on mismatch signals in the brain, especially those captured by neurophysiologic oscillations. This was because one most plausible approach to the PC concept is to identify and validate mismatch signals in the brain. Announcing the topic revealed a much deeper consideration of intelligible minds of researchers. It turned out that what was of fundamental interest was which brain mechanisms support the formation, maintenance and consolidation of the inner model determining PC. Is PC a dynamic construct continuously modulated by external environmental or internal mental information? The reader will be delighted to get acquainted with the current views and understanding of eminent scholars in the field. It will be challenging to discover the realm of sleep where both physiological, energy preserving and mental qualia principles build on the inner models to shape and transform the self. And where neurophysiologic oscillations may both transmit external information and translate inner models from state to state to preserve the self-continuity and compactness.


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Detail Information
Series Title
-
Call Number
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Publisher
: Frontiers Media SA., 2017
Collation
-
Language
English
ISBN/ISSN
9782889451616
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Psychology
Specific Detail Info
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Statement of Responsibility
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Other Information
Cataloger
ida
Source
https://directory.doabooks.org/handle/20.500.12854/42417
Validator
-
Digital Object Identifier (DOI)
10.3389/978-2-88945-161-6
Journal Volume
-
Journal Issue
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Subtitle
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  • Brain Oscillations and Predictive Coding: What We Know and What We Should Learn
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