Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

Through the success of artificial neural networks (ANNs) in different domains, intense
research has been recently centered on changing the networks architecture to optimize the …

Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …

The book requires only rudimentary physics knowledge but ability to program computers
creatively and to keep the mind open to simple and not so simple models, based in …

Several neurological diseases (eg essential tremor and Parkinson's disease) are related to
pathologically enhanced synchronization of bursting neurons. Suppression of these …

This paper proposes a scale-free highly clustered echo state network (SHESN). We
designed the SHESN to include a naturally evolving state reservoir according to incremental …

Due to computational complexities of artificial neural networks (ANNs), there is an
increasing demand for third parties and MLaaS (machine learning as a service) to take …

Understanding the behavior of Artificial Neural Networks is one of the main topics in the field
recently, as black-box approaches have become usual since the widespread of deep …

The performance of the Hopfield neural network model is numerically studied on various
complex networks, such as the Watts-Strogatz network, the Barabási-Albert network, and the …

Due to the fully-connected complex structure of Artificial Neural Networks (ANNs), systems
based on ANN may consume much computational time, energy and space. Therefore …