Richard H. Granger, Jr.

Selected Publications

Publications available at:

Rodriguez A, Granger R (2015) The grammar of mammalian brain capacity. Theoretical Computer Science C (TCS-C).  doi: 10.1016/j.tcs.2016.03.021


 Lee Y, Janata P, Frost C, Martinez Z, Granger R (2014) Melody recognition revisited: influence of melodic gestalt on the encoding of relational pitch information. Psychonomic Bulletin & Review, 1-7.  doi: 10.3758/ s13423-014-0653-y

Fogelson S, Kohler P, Miller K, Granger R, Tse P (2014) Unconscious neural processing differs with method used to render stimuli invisible. Frontiers in Psychol., 5: 601. doi: 10.3389/fpsyg.2014.00601

Chandrashekar A, Torresani L, Granger R (2013) Learning what is where from unlabeled images: joint localization and clustering of foreground objects. Machine Learning, doi: 10.1007/s10994-013-5330-2

Lee Y, Turkeltaub P, Granger R, Raizada R (2012) Categorical speech processing in Broca’s area: An fMRI study using multivariate pattern-based analysis. J Neurosci, 32: 3942-3948.

Chandrashekar A, Granger R (2012) Derivation of a novel efficient supervised learning algorithm from cortical-subcortical loops. Frontiers Comput Neurosci., 5: 50. doi: 10.3389/fncom.2011.00050

Granger R (2011). How brains are built: Principles of computational neuroscience. Cerebrum; The Dana Foundation.

Moorkanikara J, Felch A, Chandrashekar A, Dutt N, Granger R, Nicolau A, Veidenbaum A. (2009) Brain-derived vision algorithm on high-performance architectures. Int’l Journal of Parallel Prog., 37: 345-369. 

Lee Y, Granger R, Raizada R (2009) Distributed and overlapping neural representations of the /ba/ - /da/ phonetic contiuum: Comparison of multivoxel pattern-based analysis against adaptation-fMRI. NeuroImage, 47: S129.

Big Brain (G.Lynch & R.Granger), Palgrave Macmillan Press, 2008.

Felch A, Granger R (2008) The hypergeometric connectivity hypothesis: Divergent performance of brain circuits with different synaptic connectivity distributions. Brain Research doi:10.1016/j.brainres.2007.06.04

Granger R (2006) Engines of the Brain: The computational instruction set of human cognition. AI Magazine 27:15-32. 

Granger R (2006) The evolution of computation in brain circuitry. Behavioral & Brain Sci 29: 17-18. pdf

Rodriguez A, Whitson J, Granger R (2004) Derivation and analysis of basic computational operations of thalamocortical circuits. J. Cognitive Neurosci, 16: 856-877.


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Works in Progress

Algorithms and applications

Categorization and memory

Reinforcement learning

Synaptic pharmacology