Research Interests:

Right now, I'm studying semi-supervised learning in neural networks, a sort of hybrid way of organizing learning that uses both self-organizing and error-driven learning in (I hope) an environmentally valid way. I want to look at how semi-supervised learning can be applied in psychology, and especially in models of language (both semantic and syntactic) learning. Methodologically, I'm working with computational models, though in the long-term (read: postdoc) I would like to have the opportunity to look for evidence of semi-supervised learning in the brain, or possibly behaviorally.

Apart from that, I'm interested in the places where psychology touches artificial intelligence, and I have an interest in synesthesia, though currently I don't anticipate doing research in it.

Presentations

Robare, R. J. (2004). Generalization and discrimination in a semantic network
trained with semi-supervised learning. In Proceedings of the Sixth International
Conference on Cognitive Modeling (pp. 412-413). Mahwah, NJ: Lawrence Erlbaum.

Robare, R. J. (2005, November). Parameters for semi-supervised learning in neural-network models of cognition. Poster session presented at Dynamical Neuroscience XIII: Computational Cognitive Neuroscience, Washington, DC.

Curriculum Vitae

 

 

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