Recursion and Recursion-Like Structure in Ensembles of Neural Elements

@inproceedings{Tabor2011RecursionAR,
  title={Recursion and Recursion-Like Structure in Ensembles of Neural Elements},
  author={Whitney Tabor},
  year={2011}
}
Connectionist models have used general principles to model phenomena across many mental domains. Thus, they seem promising for uniting diverse syntactic phenomena (e.g., language, music, action). A challenge has been understanding how recursion can work in neurons. Headway has been made in training Recurrent Neural Networks (RNNs) to process languages which can be handled by the use of one or more symbol-counting stacks (e.g., ab, aABb, abc). Success with exponential state growth languages, in… CONTINUE READING