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Richard Granger

Education

• Sc.B., MIT
• Ph.D., Yale

Research Interests

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

Selected Publications

• Dhulekar N, Felch A, Granger R (2010) Tracking moving objects improves recognition. Int'l conf on image processing, computer vision, & patt recognition (IPCV) (in press).
• Felch A, Granger R (2010) Sensor-rich robots driven by real-time brain circuit algorithms. In: Neuromorphic and brain-based robots (Krichmar & Wagatsuma, Eds.)
• 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 Programming, 37: 345-369.
• Lynch G, Granger R. (2008). Big Brain. Palgrave Macmillan.
• Felch A, Granger R (2008) The hypergeometric connectivity hypothesis: Divergent performance of brain circuits with different synaptic connectivity distributions. Brain Research, 1202: 3-13.
• Granger R, Hearn R (2008) Models of the thalamocortical system. Scholarpedia 2(11): 1796. http://www.scholarpedia.org/article/Models_of_thalamocortical_system
• Moorkanikara J, Chandrashekar A, Felch A, Furlong J, Dutt N, Nicolau A, Veidenbaum A, Granger R. (2007) Accelerating brain circuit simulations of object recognition with a Sony Playstation 3. International Workshop on Innovative Architectures (IWIA).
• Furlong J, Felch A, Nageswaran J, Dutt N, Nicolau A, Veidenbaum A, Chandreshekar A, Granger R. (2007). Novel brain-derived algorithms scale linearly with number of processing elements. Proceedings of the International Conference on Parallel Computing.
• 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.

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