• Society for Neuroscience, and

  • Society of Automotive Engineers.

There are also regular conferences that the Army can monitor to track the rapidly developing field of computational neuroscience. These include the Neural Information Processing (NIPS) conference, the biannual Statistical Analysis of Neural Data (SAND) workshop, the annual Computational and Systems Neuroscience (Cosyne) meeting, the annual Computational Neuroscience meeting, and the annual Dynamical Neuroscience meeting. The meetings are a venue for discussions on recent work in the fields of computational neuroscience modeling and signal processing.

The number of Army representatives attending a conference should be large enough to allow coverage of simultaneous sessions that may contain relevant research: two or three persons for smaller conferences, six or more for large gatherings. Each attendee could generate a report to the Army and one of them could summarize the advances and identify possible Army applications. At least yearly, the entire monitoring group would gather, together with additional military guests, to share new Army needs and to discuss the group’s recent findings and expectations for Army-relevant neuroscience.

REFERENCES

Angier, N. 2008. Blind to change, even as it stares us in the face. New York Times, April 1, 2008, p. F2.

Bakker, A., C.B. Kirwan, M. Miller, and C.E.L. Stark. 2008. Pattern separation in the human hippocampal CA3 and dentate gyrus. Science 319(5870): 1640-1642.

Beauregard, M., J. Levesque, and P. Bourgouin. 2001. Neural correlates of conscious self-regulation of emotion. Journal of Neuroscience 21(18): RC165.

Esposito, F., A. Bertolino, T. Scarabino, V. Latorre, G. Blasi, T. Popolizio, G. Tedeschi, S. Cirillo, R. Goebel, and F. Di Salle. 2006. Independent component model of the default-mode brain function: Assessing the impact of active thinking. Brain Research Bulletin 70(4-6): 263-269.

Greicius, M.D., B. Krasnow, A.L. Reiss, and V. Menon. 2003. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences of the United States of America 100(1): 253-258.

Hakak, Y., J.R. Walker, C. Li, W.H. Wong, K.L. Davis, J.D. Buxbaum, V. Haroutunian, and A.A. Fienberg. 2001. Genome-wide expression analysis reveals dysregulation of myelination-related genes in chronic schizophrenia. Proceedings of the National Academy of Sciences of the United States of America 98(8): 4746-4751.

Hancock, P.A. 1996. Effect of control order, augmented feedback, input device and practice on tracking performance and perceived workload. Ergonomics 39(9): 1146-1162.

Hoeft, F., C.L. Watson, S.R. Kesler, K.E. Bettinger, and A.L. Reiss. 2008. Gender differences in the mesocorticolimbic system during computer game-play. Journal of Psychiatric Research 42(4): 253-258.

Horowitz, T.S., E.M. Fine, D.E. Fencsik, S. Yurgenson, and J.M. Wolfe. 2007. Fixational eye movements are not an index of covert attention. Psychological Science 18(4): 356-363.

Kosfeld, M., M. Heinrichs, P.J. Zak, U. Fischbacher, and E. Fehr. 2005. Oxytocin increases trust in humans. Nature 435(7042): 673-676.

McIntosh, A.R., C.L. Grady, J.V. Haxby, L.G. Ungerleider, and B. Horwitz. 1996. Changes in limbic and prefrontal functional interactions in a working memory task for faces. Cerebral Cortex 6(4): 571-584.

Moll, J., F. Krueger, R. Zahn, M. Pardini, R. de Oliveira-Souza, and J. Grafman. 2006. Human fronto-mesolimbic networks guide decisions about charitable donation. Proceedings of the National Academy of Sciences of the United States of America 103(42): 15623-15628.

Opitz, B., A. Mecklinger, A.D. Friederici, and D.Y. von Cramon. 1999. The functional neuroanatomy of novelty processing: Integrating ERP and fMRI results. Cerebral Cortex 9(4): 379-391.

Proverbio, A.M., A. Zani, and R. Adorni. 2008. Neural markers of a greater female responsiveness to social stimuli. BMC Neuroscience 9: 56.

Sepp, K.J., P. Hong, S.B. Lizarraga, J.S. Liu, L.A. Mejia, C.A. Walsh, and N. Perrimon. 2008. Identification of neural outgrowth genes using genome-wide RNAi. Available at http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1000111. Last accessed August 19, 2008.

Tang, Y., W. Zhang, K. Chen, S. Feng, Y. Ji, J. Shen, E.M. Reiman, and Y. Liu. 2006. Arithmetic processing in the brain shaped by cultures. Proceedings of the National Academy of Sciences of the United States of America 103(28): 10775-10780.

Taylor, M., A. Miller, L. Mills, E. Potterat, G. Padilla, and R. Hoffman. 2006. Predictors of success in Basic Underwater Demolition/SEAL (BUD/S) training. Part I: What do we know and where do we go from here? Naval Health Research Center Technical Document No. 06-37.

Taylor, M., G. Larson, A. Miller, L. Mills, E. Potterat, J. Reis, G. Padilla, and R. Hoffman. 2007. Predictors of success in Basic Underwater Demolition/SEAL (BUD/S) training. Part II: A mixed quantitative and qualitative study. Naval Health Research Center Technical Document No. 07-10.

Van Horn, J.D., S.T. Grafton, D. Rockmore, and M.S. Gazzaniga. 2004. Sharing neuroimaging studies of human cognition. Nature Neuroscience 7(5): 473-481.

Yeh, Y.Y., and C.D. Wickens. 1988. Dissociation of performance and subjective measures of workload. Human Factors 30(1): 111-120.

Zak, P.J., R. Kurzban, and W.T. Matzner. 2005. Oxytocin is associated with human trustworthiness. Hormones and Behavior 48(5): 522-527.



The National Academies | 500 Fifth St. N.W. | Washington, D.C. 20001
Copyright © National Academy of Sciences. All rights reserved.
Terms of Use and Privacy Statement