Topics areas include, but not limited to, computational neuroscience, connectionist theory and cognitive science, mathematical modeling of neural systems, neurodynamic analysis, neurodynamic optimization, adaptive dynamic programming, embedded neural systems, probabilistic and information-theoretic methods, principal and independent component analysis, hybrid intelligent systems, supervised learning, unsupervised learning, reinforcement learning, deep learning, brain imaging, neural information processing, neuroinformatics, bioinformatics, support vector machines, kernel methods, autonomous mental development, data mining, pattern recognition, time series analysis, image and signal processing, robotics, control systems, telecommunications, transportation systems, intrusion detection and fault diagnosis, hardware implementation, financial engineering, business intelligence, real-world applications.