AI Article Synopsis
- The study of consciousness focuses on finding the neural correlates that underlie conscious experience, but progress is stalled by conflicting theories like the Global Neuronal Workspace and Recurrent Processing.
- In this work, the author aims to connect cellular and neurophysiological evidence of consciousness to these theoretical frameworks, providing a comprehensive review of existing data.
- The proposed Neural Hierarchy model offers a new perspective by categorizing conscious awareness into levels of processing that range from lower to higher-order, emphasizing a graded and nonlinear understanding of consciousness.
Article Abstract
The chief undertaking in the studies of consciousness is that of unravelling the neural correlates of consciousness. To this day, this crusade remains at an impasse, with a clash of two main theoretical stances: the Global Neuronal Workspace and the Recurrent Processing. Yet, cellular and neurophysiological studies of consciousness have been mostly dissociated from the two. Herein, a theoretical review will be put forth with the aim to change that. In its first half, I will cover the hard available evidence on the neurophysiology of consciousness, and in its second half, I will weave a theoretical model that reconciles the all-or-none cortical ignition (P3b) and graded recurrent processing (VAN) theories on the basis of neurophysiological evidence. As should be made clear, this Neural Hierarchy model substantiates and expands on a novel take on conscious awareness: the levels of processing approach, partitioning the conscious architecture into lower- and higher-order, graded and nonlinear.
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| http://dx.doi.org/10.1016/j.neuropsychologia.2022.108202 | DOI Listing |
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