Showing 21–40 of 60 results
/ Date/ Name
Mar 29, 2019Simple unity among the fundamental equations of scienceJan 23, 2009Natural selection maximizes Fisher informationJul 23, 2023Disease from opposing forces in regulatory controlApr 16, 2022Optimizing differential equations to fit data and predict outcomesFeb 17, 2011Wright's adaptive landscape versus Fisher's fundamental theoremDec 14, 2011Demography and the tragedy of the commonsSep 18, 2014How to read probability distributions as statements about processFeb 25, 2014Microbial metabolism: optimal control of uptake versus synthesisSep 9, 2016Puzzles in modern biology. I. Male sterility, failure reveals designAug 18, 2024Circuit design in biology and machine learning. I. Random networks and dimensional reductionApr 13, 2024A biological circuit to anticipate trendOct 12, 2010A simple derivation and classification of common probability distributions based on information symmetry and measurement scaleDec 13, 2011Evolutionary foundations of cooperation and group cohesionDec 13, 2011Maladaptation and the paradox of robustness in evolutionFeb 12, 2020Analysis of Dutch Master Paintings with Convolutional Neural NetworksJul 29, 2019Salient Slices: Improved Neural Network Training and Performance with Image EntropyMay 21, 2020A Neural Network Looks at Leonardo's(?) Salvator MundiJun 24, 2015d'Alembert's direct and inertial forces acting on populations: the Price equation and the fundamental theorem of natural selectionOct 19, 2016Puzzles in modern biology. IV. Neurodegeneration, localized origin and widespread decayNov 16, 2012Natural selection. V. How to read the fundamental equations of evolutionary change in terms of information theory