Publications available at: http://www.dartmouth.edu/~rhg/publications

Hokenmaier W, Jurasek R, Bowen E, Granger R, Odom D (2024)  Co-design of a novel CMOS highly parallel, low-power, multi-chip neural network accelerator.  IEEE Microelectronics Design & Test Symposium (MDTS).    

https://doi.org/10.1109/MDTS61600.2024.10570137   

Pathak A, Brincat SL, Organtzidis H, Strey HH, Senneff S, Antzoulatos EG, Mujica-Parodi LR, Miller EK, Granger R  (2023) Biomimetic model of corticostriatal micro-assemblies discovers new neural code.  

https://doi.org/10.1101/2023.11.06.565902    

Bowen E, Granger R, Rodriguez A (2023)  A logical re-conception of neural networks: Hamiltonian bitwise part-whole architecture.  American Assoc Artificial Intelligence (AAAI)  https://openreview.net/forum?id=hP4dxXvvNc8 

Bowen E, Granger R (2023) Multi-core processing and memory arrangement. US Patent # 11,741,043 B2 (20 claims).  

Granger R, Bowen E, Rodriguez A, Felch A (2023) Computer-implemented perceptual apparatus.  US Patent # 11,693,372 B2 (6 claims). 

Bowen E, Rodriguez A, Sowinski D, Granger R (2022) Visual stream connectivity predicts assessments of image quality.  Journal of Vision, 22(11):4, 1-22.   https://doi.org/10.1167/jov.22.11.4   

Childers E, Bowen E, Rhodes CH, Granger R (2022) Immune-related genomic schizophrenic subtyping identified in DLPFC transcriptome.  Genes,   https://doi.org/10.3390/genes13071200     

• Rodriguez A, Granger R (2017) The differential geometry of perceptual similarity. Brain Engineering Laboratory, Technical Report 2017.2. www.dartmouth.edu/~rhg/pubs/GrangerRGPEGa1.pdf (In submission)  RGPEG.pdf

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. http://dana.org/news/cerebrum/detail.aspx?id=30356

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.