Learning algorithms for probabilistic neural nets. - Catherine Myers; Igor Aleksander (Neural Networks, 1988)

Learning with Delayed Reinforcement Through Attention-Driven Buffering. - Catherine Myers (Int. J. Neural Syst., 1991)

Adaptive Stimulus Representations: A Computational Theory of Hippocampal-Region Functions. - Mark A. Gluck; Catherine Myers (NIPS, 1992)

A Novelty Detection Approach to Classification. - Nathalie Japkowicz; Catherine Myers; Mark A. Gluck (IJCAI, 1995)

Modeling auditory cortical processing as an adaptive chirplet transform. - Eduardo Mercado III; Catherine Myers; Mark A. Gluck (Neurocomputing, 2000)

A dynamic model of learning in the septo-hippocampal system. - Bas Rokers; Catherine Myers; Mark A. Gluck (Neurocomputing, 2000)

Cortico-hippocampal interaction and adaptive stimulus representation: A neurocomputational theory of associative learning and memory. - Mark A. Gluck; Catherine Myers; Martijn Meeter (Neural Networks, 2005)

Distinct Hippocampal and Basal Ganglia Contributions to Probabilistic Learning and Reversal. - Daphna Shohamy; Catherine Myers; Ramona O. Hopkins; Jake Sage; Mark A. Gluck (J. Cogn. Neurosci., 2009)