Skip to content

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