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Why the Brain Knows More than We Do: Non-Conscious Representations and Their Role in the Construction of Conscious Experience
Birgitta Dresp

Why the Brain Knows More than We Do: Non-Conscious Representations and Their Role in the Construction of Conscious Experience

Author / Organization:
Science & Mathematics Published 2011 Verification Pending

Overview & Synopsis

This article questions the widespread assumption that there are brain representations that will always remain unconscious in the sense of being « inaccessible to an individual's awareness under any circumstances ». This implies that some part of the knowledge generated by the brain is once and for always excluded from an individual's consciousness and, therefore, from being communicated to the outside world. This standpoint neglects the possibility that the human brain might have a capacity for generating meta-representations of non-conscious knowledge contents at a given moment in time through context-sensitive adaptive learning, and is somewhat difficult to reconcile with experimental findings showing that initially subliminal targets can be made available to awareness, or « break through » to supraliminal levels of processing, when they are embedded in the appropriate perceptual object context. Functional properties of neural network architectures inspired by the functional organization of the primate cortex are able to explain how a human brain could generate this kind of perceptual learning. Signals or knowledge processed outside awareness can be made available to awareness through adaptive resonance of bottom-up and top-down signal exchanges in massively parallel neural network architectures, in other words, on the basis of statistically significant signal matches in the domain of time and in the domain of contents.

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Document Information

Document Title Why the Brain Knows More than We Do: Non-Conscious Representations and Their Role in the Construction of Conscious Experience
Author / Organization Birgitta Dresp
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2011
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-60114
Original Source Link Visit Source Page on hal.science »