Selected Papers from the 26th International Conference on Artificial Neural Networks - ICANN 2017

Dear Colleagues,

Research in artificial neural networks involves investigations regarding the computational modeling of connectionist systems, inspired by the functioning of the mind and the brain. Ideas, concepts, methods, and techniques from diverse areas such as learning algorithms, graph theory, and information theory are applied to the study of these complex systems. Models inspired by the functioning of the dynamics of neuronal substrates that describe brain and mental processes, and illustrative simulations of these phenomena, are used both to understand the mind and brain, as well as to approach the issue of the development of artificially intelligent devices. Physical quantities such as entropies that reflect relevant properties of the topologies and dynamics of these complex networks are proposed, measured, and analyzed using theories and methods from statistical mechanics, physics of dynamical systems, information theory, and biological models. The connectionist approach, with artificial neural network models and models based on brain functioning, form the area currently called Computational Neuroscience. With this modeling perspective, enduring issues in the area of Artificial Intelligence, regarding the comprehension of the computability (the mechanics) of the human mind are investigated, and contribute to the current discussion regarding the description of basic mechanisms involved in consciousness and also to the development of intelligent machines.

The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.

We encourage the authors who have presented an article at the 26th International Conference on Artificial Neural Networks (ICANN 2017) and who feel that their contribution is within the scope of interest of the journal Entropy to submit an original and essential extension of the ICANN paper to be considered for publication.

Prof. Dr. Arkadiusz Orłowski
Prof. Dr. Roseli S. Wedemann
Guest Editors

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