Cognition Papers

  • (2019) Eric Mjolsness, “Prospects for Declarative Mathematical Modeling of Complex Biological Systems”. Bulletin of Mathematical Biology, first online 7 June 2019. https://doi.org/10.1007/s11538-019-00628-7. Also preprint http://arxiv.org/abs/1804.11044 in a different format. (See the last section.)
  • (1997)  Symbolic Neural Networks Derived from Stochastic Grammar Domain Models. Eric Mjolsness, in Connectionist Symbolic Integration , eds. R. Sun and F. Alexandre, Lawrence Erlbaum Associates, 1997. [ Preprint ]
  • (1996)  A Multiscale Attentional Framework for Relaxation Neural Networks. Dimitris I. Tsioutsias and Eric Mjolsness, Advances in Neural Information Processing Systems 8, MIT Press, 1996. [ Paper ]
  • (1994)  Connectionist Grammars for High-Level Vision. Eric Mjolsness, in Artificial Intelligence and Neural Networks: Steps Toward Principled Integration , eds. Vasant Honavar and Leonard Uhr, Academic Press, 1994. [Technical Report 1992]
  • (1992)  A Center-of-Mass Computation Describes the Precision of Random Dot Displacement Discrimination. Joy Hirsch and Eric Mjolsness, Vision Research, vol 32 no 2, pp 335-346, February 1992. [ Abstract ]
  • (1989)  Connectionist Variable-Binding by Optimization. P. Anandan, Stanley Letovsky, and Eric Mjolsness. August 1989 Cognitive Science conference proceedings. [Technical Report]
  • (1989)  Optimization in Model Matching and Perceptual Organization. Eric Mjolsness, Gene Gindi, and P. Anandan. Neural Computation, vol 1 no 2, Summer 1989. [Paper]
  • (1989)  Neural Networks for Model Matching and Perceptual Organization. Eric Mjolsness, Gene Gindi, and P. Anandan. Advances in Neural Information Processing Systems 1 , editor David S. Touretsky, Morgan- Kaufman 1989. [ Paper ]