Category Archives: Modeling

Insight into Brain’s Complexity Revealed Thanks to New Applications of Mathematics

The lack of a formal link between neural network structure and its emergent function has hampered our understanding of how the brain processes information. The discovery of a mathematical framework to describe the emergent behaviour of the network in terms of its underlying structure comes one step closer. Continue reading

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Are we living in a simulated world?

That’s right!, there is a debate going on in some scientific and not so scientific circles whether we are living in a simulation, just like Super Mario.  Warning: this post may introduce a bunch of ideas you may have never … Continue reading

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Visualizing Complexity

While commenting on a blog, I came upon the 2CO (COmmunicating COmplexity) Conference held in Alghero – Italy earlier this year.  The conference covers three main topics:  Informative-Animation, Interactive Data Visualization and Info-Graphics.  While I have not yet read the papers that are graciously … Continue reading

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Modeling Complexity

“If a tree falls in a forest and no one is around to hear it, does it make a sound?“… This riddles raises some interesting questions about observation and the knowledge and understanding of reality.   Philosopher George Berkeley postulated that … Continue reading

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What is Complexity?

A definition of Complexity will tell us that the concept applies to things intricate or complex. Most definitions apply to a specific domain such as biology or cybernetics.  These definitions generally fall short of what we think today is important … Continue reading

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