James Bradley Aimone

Cognitive Science and Applications Sandia National Laboratories 
Adult Neurogenesis, Computational Neuroscience
"James Aimone"
Mean distance: 14.03 (cluster 11)


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Fred H. (Rusty) Gage grad student 2009 UCSD
 (Computational modeling of adult neurogenesis in the dentate gyrus.)
Fred H. (Rusty) Gage post-doc 2002-2011 Salk Institute
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Chance FS, Aimone JB, Musuvathy SS, et al. (2020) Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers in Computational Neuroscience. 14: 39
Verzi SJ, Rothganger F, Parekh OD, et al. (2018) Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Computation. 1-31
Bouchard KE, Aimone JB, Chun M, et al. (2016) High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination. Neuron. 92: 628-631
Severa W, Parekh O, James CD, et al. (2016) A Combinatorial Model for Dentate Gyrus Sparse Coding. Neural Computation. 1-24
Du H, Deng W, Aimone JB, et al. (2016) Dopaminergic inputs in the dentate gyrus direct the choice of memory encoding. Proceedings of the National Academy of Sciences of the United States of America
Dieni CV, Panichi R, Aimone JB, et al. (2016) Low excitatory innervation balances high intrinsic excitability of immature dentate neurons. Nature Communications. 7: 11313
Aimone JB. (2016) Computational Modeling of Adult Neurogenesis. Cold Spring Harbor Perspectives in Biology
Agarwal S, Quach TT, Parekh O, et al. (2015) Energy Scaling Advantages of Resistive Memory Crossbar Based Computation and Its Application to Sparse Coding. Frontiers in Neuroscience. 9: 484
Rothganger F, Evans BR, Aimone JB, et al. (2015) Training neural hardware with noisy components Proceedings of the International Joint Conference On Neural Networks. 2015
Vineyard CM, Verzi SJ, James CD, et al. (2015) Repeated play of the SVM game as a means of adaptive classification Proceedings of the International Joint Conference On Neural Networks. 2015
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