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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.
Moorkanikara J, Felch A, Chandrashekar A, Dutt N, Granger R, Nicolau A, Veidenbaum A (2009) Brain derived vision algorithm on high performance architectures. Int Journ Parallel Prog 37:345-369.
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.
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.
Granger, R (2006). The evolution of computation in brain circuitry. Behavioral and Brain Sciences, 17-18.
Granger, R (2005). Brain circuit implementation: High-precision computation from low-precision components. Toward Replacement Parts for the Brain 277-294.
Rodriguez A, Whitson J, Granger R (2004). Derivation and analysis of basic computational operations of thalamocortical circuits. Journal of Cognitive Neuroscience, 856-877.
Benvenuto J, Jin Y, Casale M, Lynch G, Granger R (2002). Identification of diagnostic evoked response potential segments in Alzheimer's Disease. Experimental Neurology, 269-276.
Arai AC, Xia YF, Kessler M, Phillips D, Chamberlin R, Granger R, Lynch G (2002). Effects of 5'-Alklyl-Benzothiadiazides on AMPA... Molecular Pharmacology, 566-577.
Shimono K, Taketani M, BRucher F, Kubota D, Colgin L, Robertson S, Granger R, Lynch G (2001). Continuous two-dimensional current-source density analyses... Neurocomputing, 899-905.
Granger R (1999). Method and computer program product for assessing neurological conditions and treatments using evoked response potentials.
