Complexity Thoughts: Issue #8
Unraveling complexity: building knowledge, one paper at a time
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Networks and Complex Systems Foundations
I think that this paper is interesting because it triggers points worth discussing, especially the conclusions that lead the authors to assess “Evolution itself evolves, e.g. by effectively increasing point mutation rates, and by generating novel emergent mutational operators. Thus, parasitism drives the evolution of complex replicators and complex ecosystems.”
Network isolators inhibit failure spreading in complex networks
Networks can be very fragile to targeted perturbations and mitigating cascading failures is a challenging problem. Here the authors show the existence of certain subgraphs, called network isolators, that can completely inhibit any failure spreading.
Data Science
Fundamental limits to learning closed-form mathematical models from data
“When observational noise grows, there is a point at which a large amount of models become as plausible as the true model. Beyond this point, not even the true model is able to summarize the data better than many others others because much of the data is actually noise. Therefore, in this regime, no machine scientist, ever, will be able to uncover the model that truly generated the data. Importantly, the transition between the low-noise (discoverable or learnable) and the high-noise (undiscoverable or unlearnable) regimes happens abruptly, in which seems to be a phase transition.”
Network Neuroscience
Single spikes drive sequential propagation and routing of activity in a cortical network
On the impact of individual spikes in cortical circuits, detailing how repeatable sequences of activity can be triggered, sustained, and controlled during cortical computations.
Network Medicine and surroundings
Molecular mechanisms of environmental exposures and human disease
Interesting review!
“An appreciation of how environmental pollutants act on our cells to produce deleterious health effects has led to advances in our understanding of the molecular mechanisms underlying the pathogenesis of chronic diseases, including cancer and cardiovascular, neurodegenerative and respiratory diseases”
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