Topic Areas

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

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
support vector machines
kernel methods
autonomous mental development
data mining
pattern recognition
time series analysis
image and signal processing
control systems
transportation systems
intrusion detection and fault diagnosis
hardware implementation
financial engineering
business intelligence
real-world applications