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ORCIDJames B. Aimone
James Bradley Aimone – Brad Aimone
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- affiliation: Sandia National Laboratories, USA
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2020 – today
- 2024
[j14]Felix Wang
, Shruti R. Kulkarni, Bradley H. Theilman, Fredrick H. Rothganger, Catherine D. Schuman, Seung-Hwan Lim, James B. Aimone:
Scaling neural simulations in STACS. Neuromorph. Comput. Eng. 4(2): 24002 (2024)- [c40]Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone:
Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. NICE 2024: 1-7 - [c39]Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis:
Spiking Physics-Informed Neural Networks on Loihi 2. NICE 2024: 1-6 - 2023
- [j13]James B. Aimone, Omar Awile, Markus Diesmann, James C. Knight, Thomas Nowotny, Felix Schürmann:
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute. Frontiers Neuroinformatics 17 (2023) - [c38]Peter Helfer, Corinne Teeter, Aaron J. Hill, Craig M. Vineyard, James B. Aimone, Dhireesha Kudithipudi:
Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines. ICONS 2023: 17:1-17:9 - [c37]James B. Aimone, William Severa, J. Darby Smith:
Synaptic Sampling of Neural Networks. ICRC 2023: 1-9 - [c36]Bradley H. Theilman, Yipu Wang, Ojas Parekh, William Severa, J. Darby Smith, James B. Aimone:
Stochastic Neuromorphic Circuits for Solving MAXCUT. IPDPS 2023: 779-787 - [c35]Bradley H. Theilman, James B. Aimone:
Goemans-Williamson MAXCUT approximation algorithm on Loihi. NICE 2023: 1-5 - [e5]Dhireesha Kudithipudi, Charlotte Frenkel, Suma Cardwell, James B. Aimone:
Neuro-Inspired Computational Elements Conference, NICE2023, San Antonio, TX, USA, April 11-14, 2023. ACM 2023, ISBN 978-1-4503-9947-0 [contents] - [i24]Bradley H. Theilman, Felix Wang, Fred Rothganger, James B. Aimone:
Decomposing spiking neural networks with Graphical Neural Activity Threads. CoRR abs/2306.16684 (2023) - [i23]Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin R. Epstein:
Design Principles for Lifelong Learning AI Accelerators. CoRR abs/2310.04467 (2023) - [i22]James B. Aimone, William Severa, J. Darby Smith:
Synaptic Sampling of Neural Networks. CoRR abs/2311.13038 (2023) - [i21]David H. Wolpert, Jan Korbel, Christopher Lynn, Farita Tasnim, Joshua A. Grochow, Gülce Kardes, James B. Aimone, Vijay Balasubramanian, Eric De Giuli, David Doty, Nahuel Freitas, Matteo Marsili, Thomas E. Ouldridge, Andréa W. Richa, Paul M. Riechers, Édgar Roldán, Brenda M. Rubenstein, Zoltán Toroczkai, Joseph A. Paradiso:
Is stochastic thermodynamics the key to understanding the energy costs of computation? CoRR abs/2311.17166 (2023) - [i20]Craig M. Vineyard, William M. Severa, James B. Aimone:
Neuromorphic Co-Design as a Game. CoRR abs/2312.14954 (2023) - 2022
- [j12]James B. Aimone, Prasanna Date, Gabriel A. Fonseca Guerra, Kathleen E. Hamilton, Kyle Henke, Bill Kay, Garrett T. Kenyon, Shruti R. Kulkarni, Susan M. Mniszewski, Maryam Parsa, Sumedh R. Risbud, Catherine D. Schuman, William Severa, J. Darby Smith:
A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. 2(2): 32003 (2022) - [c34]William Severa, J. Darby Smith, James Bradley Aimone, Richard B. Lehoucq:
Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation. ICONS 2022: 7:1-7:7 - [c33]Felix Wang, Corinne Teeter, Sarah Luca, Srideep Musuvathy, James Bradley Aimone:
Distributed Localization with Grid-based Representations on Digital Elevation Models. ICONS 2022: 25:1-25:5 - [c32]Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone:
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. ICRC 2022: 57-65 - [c31]Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Darby Smith, Corinne Teeter, Felix Wang, James B. Aimone:
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE 2022: 40-49 - [c30]Felix Wang, Corinne Teeter, Sarah Luca, Srideep Musuvathy, Brad Aimone:
Localization through Grid-basedEncodings on Digital Elevation Models. NICE 2022: 67-69 - [c29]Jack Lindsey, James B. Aimone:
Sequence Learning and Consolidation on Loihi using On-chip Plasticity. NICE 2022: 70-72 - [e4]Thomas E. Potok, Catherine D. Schuman, Melika Payvand, Prasanna Date, Shruti R. Kulkarni, Yiran Chen, Robinson E. Pino, Brad Aimone, Mutsumi Kimura, Gregory Cohen, David Whittaker, Gordon Hirsch Wilson:
ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022. ACM 2022, ISBN 978-1-4503-9789-6 [contents] - [e3]Murat Okandan, James B. Aimone:
NICE 2022: Neuro-Inspired Computational Elements Conference, Virtual Event, USA, 28 March 2022- 1 April 2022. ACM 2022, ISBN 978-1-4503-9559-5 [contents] - [i19]James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard:
Spiking Neural Streaming Binary Arithmetic. CoRR abs/2203.12662 (2022) - [i18]Jack Lindsey, James B. Aimone:
Sequence Learning and Consolidation on Loihi using On-chip Plasticity. CoRR abs/2205.00643 (2022) - [i17]Bradley H. Theilman, Yipu Wang, Ojas D. Parekh, William Severa, J. Darby Smith, James B. Aimone:
Stochastic Neuromorphic Circuits for Solving MAXCUT. CoRR abs/2210.02588 (2022) - [i16]Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone:
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. CoRR abs/2212.00625 (2022) - 2021
- [j11]James B. Aimone:
A Roadmap for Reaching the Potential of Brain-Derived Computing. Adv. Intell. Syst. 3(1): 2000191 (2021) - [c28]James B. Aimone, Richard B. Lehoucq, William Severa, J. Darby Smith:
Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling. ICRC 2021: 64-73 - [c27]James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard:
Spiking Neural Streaming Binary Arithmetic. ICRC 2021: 79-83 - [c26]James B. Aimone, Yang Ho, Ojas Parekh, Cynthia A. Phillips, Ali Pinar, William Severa, Yipu Wang:
Provable Advantages for Graph Algorithms in Spiking Neural Networks. SPAA 2021: 35-47 - [e2]Thomas E. Potok, Melika Payvand, Catherine D. Schuman, Prasanna Date, Mutsumi Kimura, Cory E. Merkel, Brad Aimone, Sonia M. Buckley, Yiran Chen, Gregory Cohen, Todd Hylton, Robert M. Patton, Robinson E. Pino, Garrett S. Rose:
ICONS 2021: International Conference on Neuromorphic Systems 2021, Knoxville, TN, USA, July 27-29, 2021. ACM 2021, ISBN 978-1-4503-8691-3 [contents] - [i15]J. Darby Smith, Aaron J. Hill, Leah E. Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas Parekh, William Severa, James B. Aimone:
Neuromorphic scaling advantages for energy-efficient random walk computation. CoRR abs/2107.13057 (2021) - 2020
- [j10]Frances S. Chance, James B. Aimone, Srideep Musuvathy, Michael R. Smith, Craig M. Vineyard, Felix Wang:
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers Comput. Neurosci. 14: 39 (2020) - [c25]J. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh, James B. Aimone:
Solving a steady-state PDE using spiking networks and neuromorphic hardware. ICONS 2020: 27:1-27:8 - [c24]Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone:
Evaluating complexity and resilience trade-offs in emerging memory inference machines. NICE 2020: 22:1-22:4 - [c23]Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Fredrick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone:
Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. SMC 2020: 349-365 - [c22]James B. Aimone, Yang Ho, Ojas Parekh, Cynthia A. Phillips, Ali Pinar, William Severa, Yipu Wang:
Provable Neuromorphic Advantages for Computing Shortest Paths. SPAA 2020: 497-499 - [e1]Murat Okandan, James B. Aimone:
NICE '20: Neuro-inspired Computational Elements Workshop, Heidelberg, Germany, March 17-20, 2020. ACM 2020, ISBN 978-1-4503-7718-8 [contents]Postponed due to the Covid-19 pandemic. - [i14]Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone:
Evaluating complexity and resilience trade-offs in emerging memory inference machines. CoRR abs/2003.10396 (2020) - [i13]J. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh, James B. Aimone:
Solving a steady-state PDE using spiking networks and neuromorphic hardware. CoRR abs/2005.10904 (2020) - [i12]Ojas Parekh, Cynthia A. Phillips, Conrad D. James, James B. Aimone:
Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication. CoRR abs/2006.14652 (2020)
2010 – 2019
- 2019
- [j9]Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew J. Marinella, James B. Aimone:
Sparse Data Acquisition on Emerging Memory Architectures. IEEE Access 7: 1685-1693 (2019) - [j8]James B. Aimone:
Neural algorithms and computing beyond Moore's law. Commun. ACM 62(4): 110 (2019) - [j7]William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone:
Training deep neural networks for binary communication with the Whetstone method. Nat. Mach. Intell. 1(2): 86-94 (2019) - [c21]James B. Aimone, William Severa, Craig M. Vineyard:
Composing neural algorithms with Fugu. ICONS 2019: 3:1-3:8 - [c20]James B. Aimone, Ojas Parekh, Cynthia A. Phillips, Ali Pinar, William Severa, Helen Xu:
Dynamic Programming with Spiking Neural Computing. ICONS 2019: 20:1-20:9 - [i11]James B. Aimone, William Severa, Craig M. Vineyard:
Composing Neural Algorithms with Fugu. CoRR abs/1905.12130 (2019) - 2018
- [j6]Kristofer E. Bouchard, James B. Aimone, Miyoung Chun, Thomas Dean, Michael Denker, Markus Diesmann, David Donofrio, Loren M. Frank, Narayanan Kasthuri, Christof Koch, Oliver Rübel, Horst D. Simon, Friedrich T. Sommer, Prabhat:
International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer 51(4): 50-59 (2018) - [j5]Stephen J. Verzi, Fredrick H. Rothganger, Ojas Parekh, Tu-Thach Quach, Nadine E. Miner, Craig M. Vineyard, Conrad D. James, James B. Aimone:
Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Comput. 30(10) (2018) - [j4]Felix Wang, Tu-Thach Quach, Jason Wheeler, James B. Aimone, Conrad D. James:
Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification. IEEE Trans. Inf. Forensics Secur. 13(10): 2553-2562 (2018) - [c19]Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia:
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CDC 2018: 5999-6006 - [c18]Michael R. Smith, Joe Ingram, Christopher C. Lamb, Timothy Draelos, Justin E. Doak, James B. Aimone, Conrad D. James:
Dynamic Analysis of Executables to Detect and Characterize Malware. ICMLA 2018: 16-22 - [c17]William Severa, Rich Lehoucq, Ojas Parekh, James B. Aimone:
Spiking Neural Algorithms for Markov Process Random Walk. IJCNN 2018: 1-8 - [c16]Ojas Parekh, Cynthia A. Phillips, Conrad D. James, James B. Aimone:
Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication. SPAA 2018: 67-76 - [i10]William Severa, Rich Lehoucq, Ojas Parekh, James B. Aimone:
Spiking Neural Algorithms for Markov Process Random Walk. CoRR abs/1805.00509 (2018) - [i9]Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia:
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CoRR abs/1809.09261 (2018) - [i8]William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone:
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. CoRR abs/1810.11521 (2018) - 2017
- [j3]William Severa, Ojas Parekh, Conrad D. James, James B. Aimone:
A Combinatorial Model for Dentate Gyrus Sparse Coding. Neural Comput. 29(1): 94-117 (2017) - [c15]Aaron J. Hill, Jonathon W. Donaldson, Fredrick H. Rothganger, Craig M. Vineyard, David R. Follett, Pamela L. Follett, Michael R. Smith, Stephen J. Verzi, William Severa, Felix Wang, James B. Aimone, John H. Naegle, Conrad D. James:
A Spike-Timing Neuromorphic Architecture. ICRC 2017: 1-8 - [c14]Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Jonathan A. Cox, Craig M. Vineyard, Kristofor D. Carlson, William M. Severa, Conrad D. James, James B. Aimone:
Neurogenesis deep learning: Extending deep networks to accommodate new classes. IJCNN 2017: 526-533 - [c13]Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone:
Optimization-based computation with spiking neurons. IJCNN 2017: 2015-2022 - [c12]Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone:
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. IJCNN 2017: 2421-2428 - [c11]David R. Follett, Duncan Townsend, Pamela L. Follett, Gabe D. Karpman, John H. Naegle, Roger A. Suppona, James B. Aimone, Conrad D. James:
Neuromorphic data microscope. NCS 2017: 6:1-6:5 - [c10]James B. Aimone, Ojas Parekh, William Severa:
Neural computing for scientific computing applications: more than just machine learning. NCS 2017: 7:1-7:6 - [i7]Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone:
A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines. CoRR abs/1704.08306 (2017) - [i6]James B. Aimone:
Exponential scaling of neural algorithms - a future beyond Moore's Law? CoRR abs/1705.02042 (2017) - [i5]William M. Severa, Jerilyn A. Timlin, Suraj Kholwadwala, Conrad D. James, James B. Aimone:
Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation. CoRR abs/1710.09934 (2017) - [i4]Michael R. Smith, Joe B. Ingram, Christopher C. Lamb, Timothy J. Draelos, Justin E. Doak, James B. Aimone, Conrad D. James:
Dynamic Analysis of Executables to Detect and Characterize Malware. CoRR abs/1711.03947 (2017) - [i3]James B. Aimone, William M. Severa:
Context-modulation of hippocampal dynamics and deep convolutional networks. CoRR abs/1711.09876 (2017) - [i2]Justin E. Doak, Joe B. Ingram, Sam A. Mulder, John H. Naegle, Jonathan A. Cox, James B. Aimone, Kevin R. Dixon, Conrad D. James, David R. Follett:
Tracking Cyber Adversaries with Adaptive Indicators of Compromise. CoRR abs/1712.07671 (2017) - 2016
- [c9]Fred Rothganger, Conrad D. James, James B. Aimone:
Computing with dynamical systems. ICRC 2016: 1-3 - [c8]William Severa, Ojas Parekh, Kristofor D. Carlson, Conrad D. James, James B. Aimone:
Spiking network algorithms for scientific computing. ICRC 2016: 1-8 - [c7]Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone:
Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. IJCNN 2016: 5181-5188 - [i1]Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Craig M. Vineyard, Kristofor D. Carlson, Conrad D. James, James B. Aimone:
Neurogenesis Deep Learning. CoRR abs/1612.03770 (2016) - 2015
- [c6]Jonathan A. Cox, Conrad D. James, James B. Aimone:
A Signal Processing Approach for Cyber Data Classification with Deep Neural Networks. Complex Adaptive Systems 2015: 349-354 - [c5]Fred Rothganger, Brian R. Evans, James B. Aimone, Erik P. DeBenedictis:
Training neural hardware with noisy components. IJCNN 2015: 1-8 - [c4]Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman:
Repeated play of the SVM game as a means of adaptive classification. IJCNN 2015: 1-8 - [c3]Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman:
MapReduce SVM Game. INNS Conference on Big Data 2015: 298-307 - 2014
- [p1]Andrew J. Lohn, Patrick R. Mickel, James B. Aimone, Erik P. DeBenedictis, Matthew J. Marinella:
Memristors as Synapses in Artificial Neural Networks: Biomimicry Beyond Weight Change. Cybersecurity Systems for Human Cognition Augmentation 2014: 135-150 - 2013
- [j2]James B. Aimone, Jason P. Weick:
Perspectives for computational modeling of cell replacement for neurological disorders. Frontiers Comput. Neurosci. 7: 150 (2013) - [c2]Craig M. Vineyard, Stephen J. Verzi, Thomas P. Caudell, Michael L. Bernard, James B. Aimone:
Adult Neurogenesis: Implications on Human And Computational Decision Making. HCI (24) 2013: 531-540 - 2012
- [c1]Craig M. Vineyard, James B. Aimone, Glory R. Emmanuel:
Neurogenesis in a High Resolution Dentate Gyrus Model. BICA 2012: 371-372
2000 – 2009
- 2009
- [b1]James Bradley Aimone:
Computational modeling of adult neurogenesis in the dentate gyrus. University of California, San Diego, USA, 2009 - 2007
- [j1]James B. Aimone, Sebastian Jessberger, Fred H. Gage:
Adult neurogenesis. Scholarpedia 2(2): 2100 (2007)
Coauthor Index
Ojas Parekh
aka: Ojas D. Parekh
aka: Ojas D. Parekh
William Severa
aka: William M. Severa
aka: William M. Severa
J. Darby Smith
aka: John Darby Smith
aka: John Darby Smith
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