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Back matter
2012
Integrative Biology
Cells make many binary (all-or-nothing) decisions based on noisy signals gathered from their environment and processed through noisy decision-making pathways. Reducing the effect of noise to improve the fidelity of decision-making comes at the expense of increased complexity, creating a tradeoff between performance and metabolic cost. We present a framework based on rate distortion theory, a branch of information theory, to quantify this tradeoff and design binary decision-making strategies
doi:10.1039/c2ib90009b
pmid:22370552
pmcid:PMC4547352
fatcat:ofjayuiclfdoxjqfqwg2hrb2uq