Editorial Board
Neural networks and artificial intelligence
Continuous-time global computer vision with analog, specialized, and interacting neural networks
A connectionist approach to diagnostic problem solving using causal networks
Beyond associative memories: Logics and variables in connectionist models
Generative learning structures and processes for generalized connectionist networks
Supervised learning based on “neurons” sensitive to similarities and dissimilarities in the stimulus features
Characteristics of connectionist knowledge representation
Cellular automata in pattern recognition