FOUL-UP: A Program that Figures Out Meanings of Words from Context. - Richard H. Granger (IJCAI, 1977)

When Expectation Fails: Towards a Self-Correcting Inference System. - Richard H. Granger (AAAI, 1980)

Directing And Re-Directing Inference Pursuit: Extra-Textual Influences on Text Interpretation. - Richard H. Granger (IJCAI, 1981)

Scruffy Text Understanding: Design and Implementation of 'Tolerant' Understanders. - Richard H. Granger (ACL, 1982)

STRATEGIST: A Program That Models Strategy-Driven and Content-Driven Inference Behavior. - Richard H. Granger; Kurt P. Eiselt; Jennifer K. Holbrook (AAAI, 1983)

Scruffy Text Understanding: Design and Implementation of the NOMAD System. - Richard H. Granger; Chris J. Staros; Gregory S. Taylor; Rika Yoshii (ANLP, 1983)

The NOMAD System: Expectation-Based Detection and Correction of Errors During Understanding of Syntactically and Semantically III-Formed Text. - Richard H. Granger (Am. J. Comput. Linguistics, 1983)

ATLAST: A Three-level Language Analysis System. - Richard H. Granger; Kurt P. Eiselt; Jennifer K. Holbrook (GWAI, 1984)

Beyond Incremental Processing: Tracking Concept Drift. - Jeffrey C. Schlimmer; Richard H. Granger (AAAI, 1986)

Incremental Learning from Noisy Data. - Jeffrey C. Schlimmer; Richard H. Granger (Mach. Learn., 1986)

Partitioning of Sensory Data by a Cortical Network. - Richard Granger; Jose A. Ambros-Ingerson; Howard Henry; Gary Lynch (NIPS, 1987)

Formal analysis of aggregate function of layer II cerebral cortex. - Richard Granger; Jose A. Ambros-Ingerson; Gary Lynch (Neural Networks, 1988)

Computation of frequency-to-spatial transform by olfactory bulb glomeruli. - P. S. Antón; Gary Lynch; Richard Granger (Biol. Cybern., 1991)

A cortical model of winner-take-all competition via lateral inhibition. - Robert L. Coultrip; Richard H. Granger; Gary Lynch (Neural Networks, 1992)

Sparse random networks with LTP learning rules approximate Bayes classifiers via Parzen's method. - Robert L. Coultrip; Richard H. Granger (Neural Networks, 1994)

An algorithm derived from thalamocortical circuitry stores and retrieves temporal sequences. - Boris Aleksandrovsky; James Whitson; Andreas Garzotto; Gary Lynch; Richard Granger (ICPR, 1996)

Novel speech processing mechanism derived from auditory neocortical circuit analysis. - Boris Aleksandrovsky; James Whitson; Gretchen Andes; Gary Lynch; Richard Granger (ICSLP, 1996)

A neocortically-derived model of continuous contextual processing. - Andreas Garzotto; Boris Aleksandrovsky; Gary Lynch; Richard Granger (ICNN, 1997)

Neural Network Model of Striatal Complex. - Boris Aleksandrovsky; Fernando Brücher; Gary Lynch; Richard Granger (IWANN, 1997)

Continuous two-dimensional current source density analyses of electrophysiological activity in hippocampal slices. - Ken Shimono; Makoto Taketani; Fernando Brücher; Don Kubota; Laura Colgin; Sam Robertson; Richard Granger; Gary Lynch (Neurocomputing, 2001)

Engines of the Brain: The Computational "Instruction Set" of Perception and Cognition. - Richard Granger; Smiljana Petrovic; Andrew Felch; J. Kerr; M. Johnson; C. Wuerth; J. Benvenuto (AAAI Technical Report (1), 2004)

Keynote talk. - Richard Granger (WWW, 2006)

Engines of the Brain: The Computational Instruction Set of Human Cognition. - Richard Granger (AI Mag., 2006)

Novel Brain-Derived Algorithms Scale Linearly with Number of Processing Elements. - Jeff Furlong; Andrew Felch; Jayram Moorkanikara Nageswaran; Nikil D. Dutt; Alex Nicolau; Alexander V. Veidenbaum; Ashok Chandrashekar; Richard Granger (PARCO, 2007)

Models of thalamocortical system. - Richard H. Granger; Robert A. Hearn (Scholarpedia, 2007)

Learning Hierarchical Representations and Behaviors. - Robert A. Hearn; Richard H. Granger (AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence, 2008)

Brain Derived Vision Algorithm on High Performance Architectures. - Jayram Moorkanikara Nageswaran; Andrew Felch; Ashok Chandrasekhar; Nikil D. Dutt; Richard Granger; Alex Nicolau; Alexander V. Veidenbaum (Int. J. Parallel Program., 2009)

Tracking Moving Objects Improves Recognition. - Nimit Dhulekar; Andrew Felch; Richard Granger (IPCV, 2010)

Derivation of a Novel Efficient Supervised Learning Algorithm from Cortical-Subcortical Loops. - Ashok Chandrashekar; Richard Granger (Frontiers Comput. Neurosci., 2011)

Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI. - Yune-Sang Lee; Petr Janata; Carlton Frost; Michael Hanke; Richard Granger (NeuroImage, 2011)

Learning what is where from unlabeled images: joint localization and clustering of foreground objects. - Ashok Chandrashekar; Lorenzo Torresani; Richard Granger (Mach. Learn., 2014)

The grammar of mammalian brain capacity. - Antonio Rodriguez; Richard Granger (Theor. Comput. Sci., 2016)

Elemental Cognitive Acts, and Their Architecture. - Richard Granger; Elijah F. W. Bowen; Antonio Rodriguez; Laura E. Ray; Chris Kymn; Khari Jarrett (AAAI Fall Symposia, 2017)

Algorithmic Identification of Looted Archaeological Sites from Space. - Elijah F. W. Bowen; Brett B. Tofel; Sarah Parcak; Richard Granger (Frontiers ICT, 2017)

Feedforward and Feedback Processing of Spatiotemporal Tubes for Efficient Object Localization. - Khari Jarrett; Joachim Lohn-Jaramillo; Elijah F. W. Bowen; Laura E. Ray; Richard Granger (ICPRAM, 2019)

Toward the quantification of cognition. - Richard Granger (CoRR, 2020)

Visual stream connectivity predicts assessments of image quality. - Elijah F. W. Bowen; Antonio Rodriguez; Damian Sowinski; Richard Granger (CoRR, 2020)

Towards a perceptual distance metric for auditory stimuli. - Sarah Oh; Elijah F. W. Bowen; Antonio Rodriguez; Damian Sowinski; Eva Childers; Annemarie Brown; Laura E. Ray; Richard Granger (CoRR, 2020)

Time-First Tracking: An Efficient Multiple-Object Tracking Architecture for Dynamic Surveillance Environments. - Joachim Lohn-Jaramillo; Khari Jarrett; Laura E. Ray; Richard Granger; Elijah F. W. Bowen (ICPRAM, 2021)

In Memoriam: Roger C. Schank, 1946-2023. - Richard Granger; David Leake; Christopher K. Riesbeck (AI Mag., 2023)

A Proposal for Extending the Common Model of Cognition to Emotion. - Paul S. Rosenbloom; John E. Laird; Christian Lebiere; Andrea Stocco 002; Richard H. Granger; Christian Huyck (CoRR, 2024)

Scientific Machine Learning of Chaotic Systems Discovers Governing Equations for Neural Populations. - Anthony G. Chesebro; David Hofmann; Vaibhav Dixit; Earl K. Miller; Richard H. Granger; Alan Edelman; Christopher Vincent Rackauckas; Lilianne R. Mujica-Parodi; Helmut H. Strey (CoRR, 2025)