Cell fates as high-dimensional attractor states of a complex gene regulatory network.

By Sui Huang, Gabriel S. Eichler, Y. Bar-Yam, Donald E. Ingber. Physical Review Letters, 2005

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Colloquium: Criticality and dynamical scaling in living systems (2017, background): “18 ation, differentiation, etc.) can be viewed as programs encoded in the dynamical attractors of gene regulatory networks (Albert and Othmer, 2003; Espinosa-Soto et al., 2004; Huang et al., 2005; Li et al., 2004).”
On Having No Head: Cognition throughout Biological Systems (2016, background): “These are now beginning to be understood via physiological modeling and dynamical systems theory that views memories as attractors in transcriptional, bioelectric, or epigenetic state space (Huang et al., 2005; Cervera et al., 2015; Law and Levin, 2015).”
Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems (2016, methodology): “For example, Boolean network models were used to study gene evolution [506], attractor number variation with asynchronous stochastic updating [507], gene expression in the state space [499], and organism system growth rate improvement [508].”