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Learning noise-induced transitions by multi-scaling reservoir computing
To capture such stochastic transitions from data, we find that leveraging a machine learning model, reservoir computing as a type of recurrent neural network, can learn noise-induced transitions.
Magnitude and significance of the peak of early embryonic mortality
We find that, in line with the few other species for which data are available, the embryonic mortality of zebrafish has a prominent peak shortly after fertilization.
A hyperbolic Embedding Model for Directed Networks
Here, we discuss how to multiplex node information as an embedding foundation through identifying the bipartite structure of directed networks; and we proposed the generally mapping framework which hybrids the topological structure of complex networks, directed links and the hidden metrics space.
Physics and Society
