Topic Areas

Topics of contributing papers include, but are not limited to, the following areas:

Neuroscience, connectionist theory, 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, neuroinformatics, bioinformatics, support vector machines, kernel methods, autonomous mental development, data mining, pattern recognition, time series analysis, image and signal processing, robotics, intelligent control, telecommunications, transportation systems, intrusion detection and fault diagnosis, data mining, information security, financial engineering, business intelligence, Bayesian networks, sensory perception, motor control, social cognition, neuroeconomics, computational psychiatry, brain-machine interface, big data analysis, biomedical engineering, neuromorphic hardware implementation.