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 ...

This article reports a useful set of findings on how electrophysiological response properties of neurons correlate with their position in the brain. The evidence currently remains incomplete, with ...

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 ...

There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupe ...

In this case, the predictions correspond to Bernoulli distributions with these parameters and the targets are boolean values. Predictions can be provided as sequences of probability vectors (i.e., ...