Research Article | DOI: https://doi.org/10.31579/2578-8868/201
1 Dubnik, Slovakia
*Corresponding Author: Robert Skopec, Dubnik, Slovakia.
Citation: Robert Skopec,Global Workspace, Self, and Mathematical Intuition, J Neuroscience and Neurological Surgery. Doi: 10.31579/2578-8868/201
Copyright: © Robert Skopec. This is an open-access article distributed under the terms of The Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Received: 30 July 2018 | Accepted: 14 August 2018 | Published: 20 August 2018
Keywords:
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.
The brain continuously makes predictions and compares outcomes (or inputs) with those predictions. Predictions are fundamentally concerned with probability. Substantial evidence indicates that dopamine neurons of the primate ventral midbrain code errors in the prediction of reward. Dopamine neurons of ventral midbrain areas A8, A9, and A10 were identified solely on the basis of electropfysiological characteristics, particularly the long waveform of their impulses (1.5 to 5.0 ms). The phasic activations varied monotonically with reward probability. Statistical analysis revealed a significant effect of uncertainty on the population response (P<0 xss=removed xss=removed xss=removed>
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