James Aimone

Cognitive & Emerging Computing

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Cognitive & Emerging Computing


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(505) 249-1762

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1327


Dr. Brad Aimone is a Distinguished Member of Technical Staff in the Center for Computing Research at Sandia National Laboratories, where he is a lead researcher in leveraging computational neuroscience to advance artificial intelligence and in using neuromorphic computing platforms for future scientific computing applications. Brad currently leads a multi-institution DOE Office of Science Microelectronics Co-Design project titled COINFLIPS (which stands for CO-designed Influenced Neural Foundations Inspired by Physical Stochasticity) which is focused on developing a novel probabilistic neuromorphic computing platform. He also currently leads several other research efforts on designing neural algorithms for scientific computing applications and neuromorphic machine learning implementations.

Brad has published over seventy peer-reviewed journal and conference articles in venues such as Advanced Materials, NeuronNature NeuroscienceNature ElectronicsCommunications of the ACM, and PNAS and he is one of the co-founders of the Neuro-Inspired Computational Elements, or NICE, conference. Prior to joining the technical staff at Sandia in 2011, Dr. Aimone was a postdoctoral research associate at the Salk Institute for Biological Studies, with a Ph.D. in computational neuroscience from the University of California, San Diego and Bachelor’s and Master’s degrees in chemical engineering from Rice University. 

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Ph.D. Computational Neuroscience, University of California, San Diego
Thesis title: “Computational modeling of adult neurogenesis in the dentate gyrus”
Masters of Chemical Engineering, Rice University, Houston2002
BS in Chemical Engineering, Rice University, Houston2001

Sandia Publications (post 2011)

Nonlinear Finite Element Model Updating Part II: Implementation and Simulation Published: 2016-10-01 Publication ID: 47483

Neuromorphic Graph Algorithms Published: 2021-11-01 Publication ID: 76679

Mapping Stochastic Devices to Probabilistic Algorithms Published: 2021-09-01 Publication ID: 75791

Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform Published: 2021-01-23 Publication ID: 67353

BrainSLAM Published: 2019-09-01 Publication ID: 65191

Exploring Applications of Random Walks on Spiking Neural Algorithms Published: 2018-09-01 Publication ID: 58933

Neural Algorithms for Low Power Implementation of Partial Differential Equations Published: 2018-09-01 Publication ID: 59070

Quantifying neural information content: a case study of the impact of hippocampal adult neurogenesis Published: 2016-03-01 Publication ID: 48705

Cognitive Computing for Security Published: 2015-12-01 Publication ID: 42019

Using High Performance Computing to Examine the Processes of Neurogenesis Underlying Pattern Separation/Completion of Episodic Information Published: 2015-03-01 Publication ID: 42320

Using High Performance Computing to Examine the Processes of Neurogenesis Underlying Pattern Separation and Completion of Episodic Information Published: 2014-10-01 Publication ID: 39168

Neurons to algorithms LDRD final report Published: 2013-09-01 Publication ID: 35779

Simulating neural systems with Xyce Published: 2012-12-01 Publication ID: 26523

Showing Results. Show More Publications

Pre-Sandia Publications (pre 2011)

  • Li Y, Stam FJ, Aimone JB, Goulding M, Callaway EM, and Gage FH – “Molecular layer perforant path-associated cells contribute to feed-forward inhibition in the adult dentate gyrus” PNAS. 110(22), May 2013
  • Li Y*, Aimone JB*, Xu X, Callaway EM, and Gage FH – “Development of GABAergic inputs controls the contribution of maturing neurons to the adult hippocampal network” PNAS. 109(11), March 2012.
  • Aimone JB, Deng W, and Gage FH – “Resolving New Memories: A Critical Look at the Dentate Gyrus, Adult Neurogenesis, and Pattern Separation” Neuron. 70(4), May 2011. (ISI Web of Knowledge Highly Cited Paper)
  • Aimone JB and Gage FH – “Modeling new neuron function: a history of using computational neuroscience to study adult neurogenesis” European Journal of Neuroscience. 33(6), March 2011.
  • Aimone JB, Deng W, and Gage FH – “Put Them Out to Pasture?  What Are Old Granule Cells Good for, Anyway…?” Hippocampus. 20(10), October 2010.
  • Aimone JB*, Deng W*, and Gage FH – “Adult neurogenesis: integrating theories and separating functions” Featured Review for Trends in Cognitive Sciences. 14(7), July 2010 (Cover Article; ISI Web of Knowledge Highly Cited Paper).
  • Deng W*, Aimone JB*, and Gage FH – “New neurons and new memories: How does adult hippocampal neurogenesis affect learning and memory?” Nature Reviews Neuroscience. 11(5), May 2010. (ISI Web of Knowledge Highly Cited Paper)
  • Aimone JB, Wiles J, and Gage FH – “Computational Influence of Adult Neurogenesis on Memory Encoding” Neuron, 61(2), January 2009.  (Faculty of 1000 Biology)
  • Smrt RD, Eaves-Egenes J, Barkho BZ, Santistevan NJ, Zhao C, Aimone JB, Gage FH, and Zhao X – “Mecp2 deficiency leads to delayed maturation and altered gene expression in hippocampal neurons” Neurobiology of Disease, 27(1), April 2007. (Faculty of 1000 Biology; ISI Web of Knowledge Highly Cited Paper)
  • Aimone JB, Wiles J, and Gage FH – “Potential Role for Adult Neurogenesis in the Encoding of Time in New Memories.” Nature Neuroscience, 9(6), June 2006. (Faculty of 1000 Biology; ISI Web of Knowledge Highly Cited Paper)
  • Barkho BZ, Song H, Aimone JB, Smrt RD, Kuwabara T, Nakashima K, Gage FH, and Zhao X – “Identification of astrocyte-expressed factors that modulate neural stem/progenitor cell differentiation.” Stem Cell and Development, 15(3), June 2006.
  • Myers CP, Lewcock JW, Hanson MG, Gosgnach S, Aimone JB, Gage FH, Lee KF, Landmesser LT, and Pfaff SL – “Cholinergic Input is Required during Embryonic Development to Mediate Proper Assemby of Spinal Locomotor Circuits.” Neuron, 46(1), April 2005.
  • Aimone JB*, Leasure JL*, Perreau VM*, Thallmair M* and the Christopher Reeve Paralysis Foundation – “Spatial and Temporal Gene Expression Profiling of the Contused Rat Spinal Cord” Experimental Neurology, 189(2), October 2004 (Cover Article).
  • Aimone JB and Gage FH,– “Unbiased Characterization of High-densisty Oligonucleotide Microarrays Using Probe-Level Statistics” Journal of Neuroscience Methods, 135(1-2), May 2004.
  • Coffer JL, Montchamp JL, Aimone JB, and Weis RP – “Routes to Calcified Porous Silicon: Implications for Drug Delivery and Biosensing” Physica. Status. Solidi. (a) 197, No.2.  2003.

Awards & Recognition


James Aimone, , US Frontiers of Engineering Symposium Invitee, National Academy of Engineering, Nominated to be one of ~100 young engineers to participate in a multi-day symposium on emerging topics in engineering. https://www.naefrontiers.org/Symposia/USFOE/USFOE-PastSymposia/54726.aspx, September 25, 2017


James Aimone, , Are New Neurons in Humans Important? How Scale Affects Neurogenesis Function, Keystone Meeting on Adult Neurogenesis, May 16, 2014

James Aimone, , Revisiting a Model: Continually Reassessing the Computational Role of Adult Neurogenesis, UC Irvine Center for Neurobiology of Learning and Memory Spring Meeting, May 1, 2014


James Aimone, , Adult Hippocampal Neurogenesis: Memory Resolution, Pattern Separation, or Both?, University of Illinois Urbana Champaign Neuroscience Program, March 12, 2013

James Aimone, , Adult Hippocampal Neurogenesis: Memory Resolution, Pattern Separation, or Both?, Boston University Biomedical Engineering, April 10, 2013

Derek M. Trumbo, Christina E Warrender, James Aimone, Fredrick Rothganger, , Copyrighted and Open Sourced N2A Software, Department of Energy, February 27, 2013


James Aimone, , Computational Function of Adult Neurogenesis in the Dentate Gyrus, University of New Mexico Neuroscience Seminar Series, February 2, 2012

James Aimone, , Translating new neurons from mice to humans: the computational neuroscience of scale, Virginia Tech Carilion Research Institute, October 10, 2012