Dear Colleagues,

There is growing concern in physics, biology, bioengineering, and medicine about models that explain the complex functioning of the brain. There are already basic elements necessary for modeling promising intelligent systems, such as deterministic computational models and artificial intelligence, AI, and algorithms. These models and algorithms compare experimental data to draw a map of brain functions, providing greater knowledge of human behavior and brain activity.

The main objective of this special issue is to encourage a broad interdisciplinary debate on open problems and to collect modern and attractive models and algorithms for understanding the complex activity of the brain, focusing on all possible aspects of the interaction of humans with AI.

Topics of interest are listed below, but not limited to, so articles related to these areas are also welcome.

• Networks, AI, and brain.
• Language and brain functioning
• Brain image analysis and pattern analysis
• Advanced methods in neural networks
• Analysis of electrical brain activity, through engineering, medical physics, applied sciences, and computer methods.
• Deterministic and stochastic models for brain, conventional models such as Hodgkin–Huxley model.
• Complexity and brain
• Fractals and brain
• Systems analysis, simulation, design, and modeling