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Parity and time reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks
We present new applications of parity inversion and time reversal to the emergence of complex behavior from simple dynamical rules in stochastic discrete models. Our parity-based encoding of causal relationships and time-reversal construction efficiently reveal discrete analogs of stable and unstabl...
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| Publicado no: | Sci Adv |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association for the Advancement of Science
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8284893/ https://ncbi.nlm.nih.gov/pubmed/34272246 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.abf8124 |
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