The findings of this study are potentially valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding ...
Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, China; Introduction: ...
In this algorithm, the probabilities describing the possible outcomes of a single trial are modelled using a logistic function. Advantages: Logistic regression is designed for this purpose ...
Mader, C. L., Los Alamos Sci. Lab. Rep. LA, 2900 (1963). Zeldovich, Ia. B., and Kompaneets, A. S., Theory of Detonation (Academic Press, London, New York, 1960).
We can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it is a multi-region ...
The swap Monte Carlo algorithm introduces nonphysical dynamic rules to accelerate the exploration of the configuration space ...
and effectively describes the uncertain probability distribution set of the source load of the system. 3.1 Energy storage “carbon charge rate” model After integrating the energy storage device, since ...
How Are Direct Costs and Variable Costs Different ... The factory machinery needs electricity to function. The cost of electricity is an indirect cost since it can't be tied back to the ...
The decision to ship products via air or ocean requires more information than just a cost analysis of the two modes—it ...