Richard H. Granger, Jr.


HB 6207
Center for Social Brain Sciences
Cognitive Science
Engineering Sciences
Psychological and Brain Sciences
B.S. Massachusetts Institute of Technology
Ph.D. Yale University

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