Brain Engineering Laboratory: Publications


Selected recent publications:

  • 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. (Dana Foundation author site:

  • Lee Y, Janata P, Frost C, Hanke M, Granger R (2011) Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI. NeuroImage, doi: 10.1016/j.neuroimage.2011.02.006. pdf

  • Felch A, Granger R (2010) Sensor-rich robots driven by real-time brain circuit algorithms. In: Neuromorphic and brain-based robots (Krichmar & Wagatsuma, Eds) pdf

  • 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. pdf

  • Hearn R, Granger R (2009) Learning hierarchical representations and behaviors. In: Symposium on Naturally- Inspired Artificial Intelligence, American Association for Artificial Intelligence (AAAI). pdf

  • Lynch G, Granger R (2008) Big Brain: The Origins and Future of Human Intelligence. Palgrave Macmillan. amazon
    See also a site with a few reviews and some reader questions and answers:
    bigbrainbook.com

  • Granger R, Hearn R (2008) Models of the thalamocortical system. Scholarpedia 2(11): 1796. scholarpedia

  • 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 pdf

  • 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). pdf

  • 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, (parco.org) 2007. pdf

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

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

  • Granger R (2006) Essential circuits of cognition: The brain's basic operations, architecture and representations. In: AI at 50: The future of Artificial Intelligence (J.Moor, G.Cybenko, Eds.) pdf

  • Rodriguez, A., Whitson, J., Granger, R. (2005). Derivation and analysis of basic computational operations of thalamocortical circuits. Journal of Cognitive Neuroscience, 16: 856-877. pdf

  • Granger R. (2004) Brain circuit implementation: High-precision computation from low-precision components. In: Toward Replacement Parts for the Brain (T.Berger, D.Glanzman, Eds.) Mass: MIT Press., pp.277-294. pdf

  • Granger, R. (2003). Neural Computation: Olfactory cortex as a model for telencephalic processing. Learning & Memory (J.Byrne, Ed.), pp.445-450. pdf

  • Benvenuto, J., Jin, Y., Casale, M., Lynch, G., Granger, R. (2002). Identification of diagnostic evoked response potential segments in Alzheimerˆïs Disease. Exper. Neurology, 176: 269-276. pdf

  • Phillips, D, Sonnenberg, J, Arai, A, Vaswani, R, Krutzik, P, Kleisli, T, Kessler, M, Granger, R, Lynch, G, Chamberlin, R (2002). 5'-Alkyl-benzothiadiazides: A new subgroup of AMPA receptor modulators with improved affinity. Bioorganic & Medicinal Chem. 10: 1229-1248. pdf

  • Arai, A, Yan-Fang, X, Kessler, M, Phillips, D, Chamberlin, R, Granger, R, Lynch, G. (2002). Effects of 5'-Alklyl-Benzothiadiazides on AMPA receptor biophysics and synaptic responses. Molecular Pharmacology, 62: 566-577. pdf

  • Shimono, K., Taketani, M., Brucher, F., Kubota, D., Colgin, L., Robertson, S., Granger R., Lynch, G. (2001). Continuous two-dimensional current-source density analyses of electrophysiological activity in hippocampal slices. Neurocomputing 38: 899-905. pdf

  • Granger, R. (2001). Method and computer program product for assessing neurological conditions and treatments using evoked response potentials. U.S. Patent # 6,223,074 (54 claims).

  • Granger, R., and Lynch, G. (2001). Method and apparatus for assessing susceptibility to stroke. U.S. Patent # 6,280,393 (17 claims).

  • Granger, R. (2001). NeuroGraph Evoked Potential System. Food and Drug Administration (FDA) 510(k) clearance #K010669.

  • Shimono, K., Brucher, F., Granger, R., Lynch, G., and Taketani, M. (2000). Origins and distribution of cholinergically induced beta rhythms in hippocampal slices. J. Neuroscience 20: 8462-8473. pdf

  • Lynch, G., Granger, R., Gall, C., Palmer, L. (2000). Assay for determination of neuronal activity in brain tissue. U.S. Patent # 5,998,139 (6 claims).

  • Lynch, G., and Granger, R. (2000). Method for treating sexual dysfunctions. U.S. Patent # 6,083,947 (33 claims).

  • Davis, M. Ambros-Ingerson, J., Granger, R., Wu, J., Zabaneh, R., Abdelnaby, M, and Lynch, G. (1998). Triazolam impairs delayed recall but not acquisition of various everyday memory tasks in humans. Experimental Neurol., 148: 124-134. pdf

  • Kilborn, K., Kubota, D., Lynch, G, and Granger, R. (1998). Parameters of LTP induction modulate network categorization behavior. In: Computational Neurosci (NY: Plenum), 353-358.

  • Davis, M., Moskovitz, B., Nguyen, M., Lynch, G., Rogers, G., Granger, R. (1997). A profile of the behavioral changes produced by facilitation of AMPA-type glutamate receptors. Psychopharmacology, 133: 161-167.

  • Garzotto, A., Aleksandrovsky, B., Lynch, G., Granger, R. (1997). A neocortically derived model of continuous contextual processing. IEEE Press, Proc. Intˆïl Conf Neural Networks, 1: 564-568.

  • 16. Aleksandrovsky, B., Brucher, F., Lynch, G., Granger, R. (1997). Neural network model of striatal complex. In: Biological and Artificial Computation: From Neuroscience to Technology. Intˆïl Conf on Artificial and Natural Neural Networks, Berlin: Springer-Verlag, pp.104-115.

  • Hess, U.S., Granger, R., Lynch, G., Gall, C.M. (1997). Differential patterns of c-fos mRNA expression in amygdala during successive stages of odor discrimination learning. Learning and Memory, 4: 262-283.

  • Lynch, G., Granger, R., Davis, M., Ambros-Ingerson, J., Kessler, M., Schehr, R. (1997). Evidence that a positive modulator of glutamate receptors improves recall in elderly human subjects. Experimental Neurol., 145: 89-92.

  • Ingvar, M., Ambros-Ingerson, J., Davis, M., Granger, R., Kessler, M., Rogers, G, Schehr, R., and Lynch., G. (1997). Enhancement by an ampakine of memory encoding in humans. Exper. Neurol., 146: 553-559. pdf

  • Granger, R., Wiebe, S., Taketani, M., Ambros-Ingerson, J., Lynch, G. (1996). Distinct memory circuits comprising the hippocampal region. Hippocampus, 6: 567-578. pdf

  • Kilborn, K., Lynch, G., and Granger, R. (1996). Effects of LTP on response selectivity of simulated cortical neurons. J. Cog. Neurosci., 8: 328-343. pdf

  • Aleksandrovsky, B., Whitson, J., Andes, G., Lynch, G., Granger, R. (1996). Novel speech processing mechanism derived from auditory neocortical circuit analysis. IEEE Press, Proc. ICSLP Intˆïl Conf. on Spoken Language, 1: 558-561.

  • Lynch, G., Kessler, M., Rogers, G., Ambros-Ingerson, J., Granger, R. and Schehr, R. (1996). Psychological effects of a drug that facilitates brain AMPA receptors. Int J Clinical Psychopharmacol, 11: 13-19.

  • Granger, R., Deadwyler, S., Davis, M., Moskowitz, B., Kessler, M., Rogers, G., and Lynch, G. (1996). Facilitation of glutamate receptors reverses an age-associated memory impairment in rats. Synapse, 22: 332-337.

  • Aleksandrovsky, B., Whitson, J., Garzotto, A, Lynch, G., Granger, R. (1996). An algorithm derived from thalamocortical circuitry stores and retrieves temporal sequences. IEEE Comp.Soc.Press, Proc. Intˆïl Conf. Pattern Recog., 4: 550-554.

  • Myers, C., Gluck, M., and Granger, R. (1995). Dissociation of hippocampal and entorhinal function in associative learning: A computational approach. Psychobiology, 23: 116-138.

  • Ozeki, T., Shouval, H., Intrator, N. and Granger, R. (1995). Analysis of a temporal sequence learning network based on the property of LTP induction. In: Int'l Symposium on Nonlinear Theory, Las Vegas.

  • Granger, R. and Lynch, G. (1994). Cognitive modularity: Computational division of labor in the brain. In: The Handbook of Neuropsychology, New York: Academic Press. 9: 263-277.

  • Kowtha, V., Satyanarayana, P., Granger, R., and Stenger, D. (1994). Learning and classification in a noisy environment by a simulated cortical network. Proc. Third Ann. Comp. & Neural Systems Conf., Boston: Kluwer, pp. 245-250.

  • Coultrip, R. and Granger, R. (1994). LTP learning rules in sparse networks approximate Bayes classifiers via Parzen's method. Neural Networks, 7: 463-476.

  • Granger, R., Whitson, J., Larson, J. and Lynch, G. (1994). Non-Hebbian properties of LTP enable high-capacity encoding of temporal sequences. Proc. Nat'l. Acad. Sci., 91: 10104-10108.

  • Gluck, M. and Granger, R. (1993). Computational models of the neural bases of learning and memory. Ann. Rev. Neurosci. 16: 667-706.

  • Granger, R., Staubli, U., Davis, M., Perez, Y., Nilsson, L., Rogers, G., and Lynch, G. (1993). A drug that facilitates glutamatergic transmission reduces exploratory activity and improves performance in a learning-dependent task. Synapse, 15: 326-329.

  • Anton, P., Granger, R., and Lynch, G. (1993). Simulated dendritic spines influence reciprocal synaptic strengths and lateral inhibition in the olfactory bulb. Brain Res., 628: 157-165.

  • Anton, P., Granger, R. and Lynch, G. (1992). Temporal information processing in synapses, cells and circuits. In: Single neuron computation, (McKenna, Davis and Zornetzer, Eds.), NY: Academic Press, 291-313.

  • Coultrip, R., Granger, R., and Lynch, G. (1992). A cortical model of winner-take-all competition via lateral inhibition. Neural Networks, 5: 47-54.

  • Lynch, G. and Granger, R. (1992). Variations in synaptic plasticity and types of memory in cortico-hippocampal networks. J. Cog. Neurosci., 4: 189-199.

  • Anton, P., Lynch, G., and Granger, R. (1991). Computation of frequency-to-spatial transform by olfactory bulb glomeruli. Biol. Cybern., 65: 407-414.

  • Granger, R., and Lynch, G. (1991). Higher olfactory processes: Perceptual learning and memory. Current Opin. Neurosci., 1: 209-214.

  • Granger, R., Staubli, U., Powers, H., Otto, T., Ambros-Ingerson, J., and Lynch, G. (1991). Behavioral tests of a prediction from a cortical network simulation. Psychol. Sci., 2: 116-118.

  • McCollum, J., Larson, J., Otto, T., Schottler, F. Granger, R., and Lynch, G. (1991). Short-latency single-unit processing in olfactory cortex. J. Cog. Neurosci., 3: 293-299.

  • Lynch, G., Larson, J., Staubli, U., Ambros, J., and Granger, R. (1991). Long-term potentiation and memory operations in cortical networks. In Perspectives on Cognitive Neuroscience, Lister, R., and Weingartner, H. (Eds.), New York: Oxford Univ. Press, 110-131.

  • Granger, R., Staubli, U., Ambros-Ingerson, J., and Lynch, G. (1991). Specific behavioral predictions from simulations of the olfactory system. In: Olfaction as a model system for computational neuroscience, (H.Eichenbaum and J.Davis, Eds.), Cambridge: MIT Press.

  • Lynch, G., Granger, R., and Larson, J. (1990). Empirically derived synaptic learning rules and the phenomenology of memory. FESN Discussions in Neuroscience, 6: 85-89.

  • Lynch, G. and Granger, R. (1990). Olfactory rhythms and the encoding of memory. Proc. 10th Internat. Symp. on Olfaction and Taste, Oslo, Norway, 246-264.

  • Ambros-Ingerson, J., Granger, R., and Lynch, G. (1990). Simulation of paleocortex performs hierarchical clustering. Science, 247: 1344-1348.

 

 

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