Global Workspace, Self, and Mathematical Intuition
Robert Skopec
Neuroscience and Neurological Surgery September 10, 2018 DOI: 10.31579/2578-8868/201 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Proposes that the Self is generated in a neural network by algorithmic compression of spatial and temporal information into a toponeuronal structure, with an inner observer's correlation to any part entailing a correlation to the whole. |
Abstract
In human consciousness a world of separated objects is perceived by an inner observer as an feeling of One-self. A topological correlation of the Self to the world, by either emerging all separated objects into one or splitting the Self in as many disconnected Sub-selves as there are objects perceived. The Self is generated in a neural network by algorithmic compression of spatial and temporal information into a toponeuronal structure (TNS). A correlation of an inner observer to parts of a structure inevitably entails a correlation to the whole, serving of the Self. Molecular mechanisms for the generation of a TNS in a neural network will be discussed.
Citations in the library
Cites 3
- An information integration theory of consciousness BMC Neuroscience November 2, 2004
- The neural correlates of consciousness: an analysis of cognitive skill learning Philosophical transactions of the Royal Society of London. Series B, Biological sciences November 29, 1998
- Ongoing spontaneous activity controls access to consciousness: a neuronal model for inattentional blindness. PLoS Biology June 15, 2016