Computer Modeling of Associative Learning. - Daniel L. Alkon; Francis K. H. Quek; Thomas P. Vogl (NIPS, 1988)

Rescaling of variables in back propagation learning. - A. K. Rigler; J. M. Irvine; Thomas P. Vogl (Neural Networks, 1991)

A new approach to hand-written character recognition. - Kim T. Blackwell; Thomas P. Vogl; S. D. Hyman; Garth S. Barbour; Daniel L. Alkon (Pattern Recognit., 1992)

Associative learning in a network model of Hermissenda crassicornis. - Susan A. Werness; S. Dale Fay; Kim T. Blackwell; Thomas P. Vogl; Daniel L. Alkon (Biol. Cybern., 1993)

Biological plausibility of synaptic associative memory models. - Daniel L. Alkon; Kim T. Blackwell; Garth S. Barbour; Susan A. Werness; Thomas P. Vogl (Neural Networks, 1994)

Orange Juice Classification with a Biologically Based Neural Network. - Hans P. Dettmar; Garth S. Barbour; Kim T. Blackwell; Thomas P. Vogl; Daniel L. Alkon; Fred S. Fry Jr.; Joseph E. Totah; T. L. Chambers (Comput. Chem., 1996)

Identification of faces obscured by noise: comparison of an artificial neural network with human observers. - Kim T. Blackwell; Thomas P. Vogl; Hans P. Dettmar; Michael A. Brown; Garth S. Barbour; Daniel L. Alkon (J. Exp. Theor. Artif. Intell., 1997)

Multi-Scale Edge Detection And Feature Binding: An Integrated Approach. - Michael A. Brown; Kim T. Blackwell; H. G. Khalak; Garth S. Barbour; Thomas P. Vogl (Pattern Recognit., 1998)

A solution to the feature correspondence problem inspired by visual scanpaths. - Jeffrey L. Krichmar; Kim T. Blackwell; Garth S. Barbour; Alexander B. Golovan; Thomas P. Vogl (Neurocomputing, 1999)