Richard Granger

Research Interests

Brain circuit analysis; algorithm development; neuroimaging analysis; robotics; medical diagnostics

Education

• ScB, MIT
• PhD, Yale

Selected 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 Association for Artificial Intelligence (AAAI). https://openreview.net/forum?id=hP4dxXvvNc8.
• 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.
• Lohn-Jaramillo J, Jarrett K, Ray L, Granger R, Bowen E. (2021) "Time-First Tracking: An Efficient Multi-Object Tracking Architecture for Dynamic Surveillance Environments." ICPRAM International Conference on Pattern Recognition Applications and Methods. SciTe Press.
• Rodriguez A, Granger R. (2020) "On the Contrast Dependence of Crowding." Journal of Vision. https://doi.org/10.1167/jov.0.0.07282.
• Granger R. (2020) "Toward the Quantification of Cognition." https://arxiv.org/abs/2008.05580.
• Bowen EFW, Burgess JL, Granger R, Kleinman JE, Rhodes CH. (2019) "DLPFC Transcriptome Defines Two Molecular Subtypes of Schizophrenia." Nature Translational Psychiatry. 9: 147. https://doi.org/10.1038/s41398-019-0472-z.
• Rodriguez A, Granger R. (2016) "The Grammar of Mammalian Brain Capacity." Theoretical Computer Science C (TCS-C). 633: 100–111. https://doi.org/10.1016/j.tcs.2016.03.021.