Descriptive network models of brain structural and functional connectivity have made several important contributions; for example, in the mapping of putative network hubs and network communities.

Neuroscientists have constructed detailed computational models of many different types of dendrites. These models mimic the behavior of real dendrites to a high degree of accuracy.

Advantages of Network Models over LP Models Many linear programming problems have large embedded network structures. Such problems often result when modeling manufacturing processes, transportation or ...

The modeling and analysis of networks and network data has seen an explosion of interest in recent years and represents an exciting direction for potential growth in statistics. Despite the already ...

We identify a subclass of exponential-family random graph models (ERGMs) amenable to being estimated from egocentrically sampled network data, and apply pseudo-maximum-likelihood estimation to do so ...

The ‘godfather of AI’ discusses the risks of the technology and whether superpowers can find common ground to rein it in.

Computer science researchers have demonstrated that a widely used technique called neural network pruning can adversely affect the performance of deep learning models, detailed what causes these ...

What is a neural network and how does its operation differ from that of a digital computer? (In other words, is the brain like a computer?) ...