Bowen E, Burgess J, Granger R, Kleinman J, Rhodes CH (2019) DLPFC transcriptome defines two molecular subtypes of schizophrenia. Translational Psychiatry. 9:147
Rhodes CH, Granger R, Bowen E (2019) Towards a near-term clinical diagnostic for a novel molecular subtype of schizophrenia
Rundle MM, Coch D, Connolly AC, Granger RH (2018). Dissociating frequency and animacy effects in visual word processing: An fMRI study. Brain and Language, 54-63.
Rodriguez A, Granger R (2017). The differential geometry of perceptual similarity.
Rodriguez A, Granger R (2016). The grammar of mammalian brain capacity. Theoretical Computer Science, 100-111.
Fogelson SV, Kohler PJ, Miller KJ, Granger R, Tse PU (2014). Unconscious neural processing differs with method used to render stimuli invisible. Frontiers in Psychology, 1-11.
Lee YS, Janata P, Frost C, Martinez Z, Granger R (2015). Melody recognition revisited: influence of melodic Gestalt... Psychononmic Bulletin & Review, 163-169.
Chandrashekar A, Torresani L, Granger R (2014). Learning what is where from unlabeled images: joint localization and clustering of foreground objects. Machine Learning, 261-279.
Lee YS, Turkeltaub P, Granger R, Raizada RD (2012). Categorical speech processing in Broca's area: an fMRI study using multivariate pattern-based analysis. Journal of Neuroscience, 3942-3948.
Chandrashekar A, Granger R (2012). Derivation of a novel efficient supervised learning algorithm from cortical-subcortical loops. Frontiers in Computational Neuroscience, 5-50.
Felch A, Granger R (2011). Sensor-rich robots driven by real-time brain circuit algorithms. Neuromorphic and Brain-Based Robots, 58-84.
Lee YS, Janata P, Frost C, Hanke M, Granger R (2011). Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI. NeuroImage, 293-300.
Granger R (2012). How brains are built: Principles of computational neuroscience. Cerebrum, 1-17.
Hearn R, Granger R (2008). Learning hierarchical representations and behaviors. AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence.
Lynch G, Granger R (2008). Big Brain: The Origins and Future of Human Intelligence. St. Martin’s Press, 1-272.
Granger R, Hearn R (2007). Models of the thalamocortical system. Scholarpedia, 1796.
Felch AC, Granger R (2008). The hypergeometric connectivity hypothesis: divergent performance of brain circuits with different synaptic connectivity distributions. Brain Research, 3-13.
Felch A, Nageswaran J, Chandrashekar A, Furlnog J, Dutt N, Granger R, Nicolau A, Veidenbaum A (2007). Accelerating brain circuit simulations of object recognition with a Sony Playstation 3.
Furlong J, Felch A, Nageswaran J, Dutt N, Nicolau A, Veidenbaum A, Chandrashekar A, Granger R (2007). Novel brain-derived algorithms scale linearly with number of processing elements. PARCO, 767-776.
Granger, R (2006). Engines of the Brain: The Computational Instruction Set of Human Cognition. AI Magazine, 15-32.