In human consciousness a world of separated objects is perceived by an inner observer who is experienced as an undivided feeling of one-self. A topological correlation of the self to the world, however, entails a paradoxical situation by either merging all separated objects into one or splitting the self into as many subselves as there are objects perceived. This study introduces a model suggesting that the self is generated in a neural network by algorithmic compression of spatial and temporal information into a fractal structure. A correlation of an inner observer to parts of a fractal structure inevitably entails a correlation to the whole, thereby preserving the undividedness of the self. Molecular mechanisms for the generation of a fra...
Data set from Correlations between a Shintergy synchronized brain and a laser eld; a possible fracta...
Self-similarity is ubiquitous throughout natural phenomena, including the human brain. Recent eviden...
We consider the implications of the mathematical modeling and analysis of large modular neuron-to-ne...
Neurochemistry is a powerful discipline of modern neuroscience based on a description of neuronal fu...
A Prelude to Fractal Engineering and Biomedicine Introduction ". . .How is it in perception tha...
The natural complexity of the brain, its hierarchical structure, and the sophisticated topological a...
Recent evidence suggests that the quantity and quality of conscious experience may be a function of ...
The neural networks of the human brain act as very efficient parallel processing computers coordinat...
We consider the implications of the mathematical analysis of neurone-to-neurone dynamical complex ne...
The systems movement experienced four waves in 20th century: the first wave stemmed from the debate ...
Correlations between a Shintergy synchronized brain and a laser field; a possible fractal structure ...
Recent evidence suggests that the quantity and quality of conscious experience may be a function of ...
Our goal is to explore the relationship between two traditionally unrelated concepts, fractal struct...
The organization in brain networks shows highly modular features with weak inter-modular interaction...
It has long been appreciated that the brain is oscillatory1. Early measurements of brain electrophys...
Data set from Correlations between a Shintergy synchronized brain and a laser eld; a possible fracta...
Self-similarity is ubiquitous throughout natural phenomena, including the human brain. Recent eviden...
We consider the implications of the mathematical modeling and analysis of large modular neuron-to-ne...
Neurochemistry is a powerful discipline of modern neuroscience based on a description of neuronal fu...
A Prelude to Fractal Engineering and Biomedicine Introduction ". . .How is it in perception tha...
The natural complexity of the brain, its hierarchical structure, and the sophisticated topological a...
Recent evidence suggests that the quantity and quality of conscious experience may be a function of ...
The neural networks of the human brain act as very efficient parallel processing computers coordinat...
We consider the implications of the mathematical analysis of neurone-to-neurone dynamical complex ne...
The systems movement experienced four waves in 20th century: the first wave stemmed from the debate ...
Correlations between a Shintergy synchronized brain and a laser field; a possible fractal structure ...
Recent evidence suggests that the quantity and quality of conscious experience may be a function of ...
Our goal is to explore the relationship between two traditionally unrelated concepts, fractal struct...
The organization in brain networks shows highly modular features with weak inter-modular interaction...
It has long been appreciated that the brain is oscillatory1. Early measurements of brain electrophys...
Data set from Correlations between a Shintergy synchronized brain and a laser eld; a possible fracta...
Self-similarity is ubiquitous throughout natural phenomena, including the human brain. Recent eviden...
We consider the implications of the mathematical modeling and analysis of large modular neuron-to-ne...