Global Workspace, Self, and Mathematical Intuition
Neuroscience and Neurological Surgery September 10, 2018 DOI: 10.31579/2578-8868/201 (opens in new tab)
Summary
AI-generated from the abstractIn human consciousness, the perception of a world of separated objects is accompanied by an inner observer experiencing a unified sense of Self. A topological correlation links the Self to the world, either by merging all separated objects into one or splitting the Self into as many disconnected sub-selves as there are objects perceived. The Self is generated in a neural network through 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 the Self. Molecular mechanisms for generating a TNS in a neural network are discussed.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key finding | 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.