Donald Mathis

Software Engineer

Department of Cognitive Science
Johns Hopkins University
Room 237 Krieger Hall
3400 North Charles Street
Baltimore, MD 21218

Telephone:  (410) 516-6851
Office: 141A Krieger Hall

Curriculum Vitae (PDF)

Research Interests

  • Neural Networks - Connectionist models; Harmonic Grammar networks; SRNs for sentence processing
  • Statistical/Machine Learning - Computational learning theory; Hierarchical Bayesian models


2007   Wayment, Adam, Luigi Burzio, Donald Mathis, Robert Frank, 2007. Harmony versus Distance in Phonetic Enhancement. in Emily Elfner and Martin Walkow (eds), Proceedings of NELS 37. GLSA Publications, Amherst. MA.

2006   Soderstrom, M., D.W. Mathis, & P. Smolensky. 2006. Abstract Genomic Encoding of Universal Grammar in Optimality Theory. In P. Smolensky and G. Legendre, The Harmonic Mind: From Neural Computation To Optimality-Theoretic Grammar. Cambridge, MA: MIT Press.

2001   Soderstrom, M., D.W. Mathis, & P. Smolensky. 2001. Toward Computational Empirical Testing of Linguistic Innateness: Abstract Genomic Encoding of an Optimality-Theoretic Grammar. Proceedings of the Third International Conference on Cognitive Science. Beijing: University of Science and Technology of China Press. 14-25

1999   Guzik A.L., R.C. Eaton & D.W. Mathis. 1999. A Connectionist Model of Left-Right Sound Discrimination by the Mauthner System. Journal of Computational Neuroscience 6: 121-44.

1998  Mathis, D.W. A computational theory of consciousness in cognition. Unpublished doctoral dissertation, University of Colorado, Boulder, Department of Computer Science.

1996   Mathis, D.W. & M.C. Mozer. 1996. Conscious and Unconscious Perception: A Computational Theory. In Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: L. Erlbaum and Associates. 324-328

1995   Mathis, D.W. & M.C. Mozer. 1995. On the Computational Utility of Consciousness.  In G. Tesauro, D.S. Touretzky and T.K Leen, (eds.), Advances in Neural Information Processing Systems 7. Cambridge, MA: MIT Press. 11-18