The Pattern Extraction Architecture: A Connectionist Alternative to the Von Neumann Architecture. - L. Andrew Coward (IWANN, 1997)

The recommendation architecture: lessons from large-scale electronic systems applied to cognition. - L. Andrew Coward (Cogn. Syst. Res., 2001)

Application of the Recommendation Architecture to Telecommunications Network Management. - L. Andrew Coward; Tom Gedeon; William Kenworthy (Int. J. Neural Syst., 2001)

Learning complex combinations of operations in a hybrid architecture. - L. Andrew Coward; Tamás D. Gedeon; Uditha Ratnayake (FUZZ-IEEE, 2004)

Managing Interference Between Prior and Later Learning. - L. Andrew Coward; Tamás D. Gedeon; Uditha Ratnayake (ICONIP, 2004)

The Information Architecture of Cities. - L. Andrew Coward; Nikos A. Salingaros (J. Inf. Sci., 2004)

Constraints on the Design Process for Systems with Human Level Intelligence. - L. Andrew Coward (IJCNN, 2006)

Hierarchical approaches to understanding consciousness. - L. Andrew Coward; Ron Sun (Neural Networks, 2007)

Implications of resource limitations for a conscious machine. - L. Andrew Coward; Tamas O. Gedeon (Neurocomputing, 2009)

Brain Anatomy and Artificial Intelligence. - L. Andrew Coward (AGI, 2011)

Architectures of Complex Learning Systems. - L. Andrew Coward; Tamas O. Gedeon (BICA, 2011)

Brain Computational Primitives. - L. Andrew Coward (BICA, 2014)

Using the Change Manager Model for the Hippocampal System to Predict Connectivity and Neurophysiological Parameters in the Perirhinal Cortex. - L. Andrew Coward; Tom Gedeon (Comput. Intell. Neurosci., 2016)

Leveraging conscious and nonconscious learning for efficient AI. - Rachel St. Clair; L. Andrew Coward; Susan Schneider (Frontiers Comput. Neurosci., 2023)

Hierarchies of description enable understanding of cognitive phenomena in terms of neuron activity. - L. Andrew Coward (Cogn. Process., 2024)