My current research interests in neural networks are mainly related to novel learning alorithms. This includes a view of neural elements as autonomous agents interacting locally with the environment. Investigations of this include experiments with networks whose neurons have a high-dimension internal state. Genetic programming techniques are used to access and exploit the extra state information. In other experiments, I am working with neural elements that learn to interact with the environment through an external reinforcement signal.