… models also inform our basic understanding of attention, providing empirical evidence that:
(i) attention is a network … Looking ahead, connectivity-based predictive models of attention …

… One commonly applied tool in this investigation is the network model. The premise of the
network model is that the void space of a porous medium can be represented by a network of …

… Our regulatory network model is far more simple; it includes less than a hundred genes
and is much less predictive than the one developed for Halobacterium since our model is fed …

… (66%), the interareal network has strong structural specificity. Connection … model based on
this rule predicts numerous features of the cortical network: (1) the existence of a network core …

… data sets to construct predictive models of IBD. We present a predictive model of the immune
… Our model consists of individual networks constructed using molecular data generated from …

… media using network modeling. We use realistic representations of porous media that capture
the geometry and topology of sands and sandstones as input to our flow model. The bulk …

… (3D) Berea sandstone samples by stochastically modeling the results of the main sandstone
… a pore network that is used directly as input to a network model. The model simulates two-…

… This article aims to survey the popular neural network modeling approaches and provide a
… these models with MPC. Recent advances in the development of neural network models for …

… performances of these models are evaluated with respect to their ability to identify consumer
… models, we find that the neural network model performs better than the other two models. …

… Our findings suggest that predictive network methods can be useful for predicting future
reported drug-ADE relationships. The proposed approach, based on computer models and …