Synergy of Clustering Multiple Back Propagation Networks. - William P. Lincoln; Josef Skrzypek (NIPS, 1989)

Feedback Synapse to Cone and Light Adaptation. - Josef Skrzypek (NIPS, 1990)

Lightness constancy: connectionist architecture for controlling sensitivity. - Josef Skrzypek (IEEE Trans. Syst. Man Cybern., 1990)

Combining Similarities and Dissimilarities in Supervised Learning. - Valter Rodrigues; Josef Skrzypek (Int. J. Neural Syst., 1991)

Neural network models for illusory contour perception. - Josef Skrzypek; Brian Ringer (CVPR, 1992)

Lightness Constancy from Luminance Contrast. - Josef Skrzypek; David Gungner (Int. J. Pattern Recognit. Artif. Intell., 1992)

A general purpose simulation environment for neural models. - Edmond Mesrobian; Josef Skrzypek (Simul., 1992)

A Software Environment For Studying Computational Neural Systems. - Edmond Mesrobian; Josef Skrzypek (IEEE Trans. Software Eng., 1992)

Supervised learning based on "neurons" sensitive to similarities and dissimilarities in the stimulus features. - Josef Skrzypek; Valter Rodrigues (Inf. Sci., 1993)

Neural architecture for robotic vision sensor that discounts uneven illumination in a manufacturing environment. - Josef Skrzypek (J. Intell. Manuf., 1993)

Cluster network for recognition of handwritten, cursive script characters. - Jeffrey Hoffman; Josef Skrzypek; Jacques J. Vidal (Neural Networks, 1993)

A note on a higher-order neural network for distortion invariant pattern recognition. - Manabu Takano; Taiho Kanaoka; Josef Skrzypek; Shingo Tomita (Pattern Recognit. Lett., 1994)