James B. Aimone

87 papers A 1B 11C 1Journal 43Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific Computing. CoRR Bradley H. Theilman, James B. Aimone
2025	—	`conf`	AI-Powered Knowledge Graphs for Neuromorphic and Energy-Efficient Computing. ACM Great Lakes Symposium on VLSI Ashish Gautam, Robert M. Patton, Thomas E. Potok, Ramakrishnan Kannan, James B. Aimone, William Severa
2025	J	`jnl`	Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling. CoRR James B. Aimone
2025	J	`jnl`	Neuromorphic Simulation of Drosophila Melanogaster Brain Connectome on Loihi 2. CoRR Felix Wang, Bradley H. Theilman, Fred Rothganger, William Severa, Craig M. Vineyard, James B. Aimone
2025	J	`jnl`	Solving Sparse Finite Element Problems on Neuromorphic Hardware. CoRR Bradley H. Theilman, James B. Aimone
2025	—	`conf`	Synaptic Sampling Networks with True Random Number Generation. ICONS J. Darby Smith, William Severa, James B. Aimone
2024	J	`jnl`	AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators. CoRR Karan P. Patel, Andrew Maicke, Jared Arzate, Jaesuk Kwon, J. Darby Smith, James B. Aimone, Jean Anne C. Incorvia, Suma George Cardwell, Catherine D. Schuman
2024	—	`conf`	Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. NICE Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone
2024	J	`jnl`	On the path toward brain-scale simulations. Nat. Comput. Sci. Felix Wang, James B. Aimone
2024	—	`conf`	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT. ICRC Ian Mulet, Bradley H. Theilman, Karan P. Patel, Jared Arzate, Andrew Maicke, J. Darby Smith, James B. Aimone, Suma Cardwell, Jean Anne C. Incorvia, Catherine D. Schuman
2024	J	`jnl`	Scaling neural simulations in STACS. Neuromorph. Comput. Eng. Felix Wang, Shruti R. Kulkarni, Bradley H. Theilman, Fredrick H. Rothganger, Catherine D. Schuman, Seung-Hwan Lim, James B. Aimone
2024	—	`conf`	Spiking Physics-Informed Neural Networks on Loihi 2. NICE Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis
2024	—	`conf`	Strategic Considerations for Neuromorphic Computing. ICONS Craig M. Vineyard, William M. Severa, James B. Aimone
2023	—	`conf`	Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines. ICONS Peter Helfer, Corinne Teeter, Aaron J. Hill, Craig M. Vineyard, James B. Aimone, Dhireesha Kudithipudi
2023	J	`jnl`	Decomposing spiking neural networks with Graphical Neural Activity Threads. CoRR Bradley H. Theilman, Felix Wang, Fred Rothganger, James B. Aimone
2023	J	`jnl`	Design Principles for Lifelong Learning AI Accelerators. CoRR 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
2023	J	`jnl`	Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute. Frontiers Neuroinformatics James B. Aimone, Omar Awile, Markus Diesmann, James C. Knight, Thomas Nowotny, Felix Schürmann
2023	—	`conf`	Goemans-Williamson MAXCUT approximation algorithm on Loihi. NICE Bradley H. Theilman, James B. Aimone
2023	J	`jnl`	Is stochastic thermodynamics the key to understanding the energy costs of computation? CoRR 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
2023	—	`ed.`	Neuro-Inspired Computational Elements Conference, NICE2023, San Antonio, TX, USA, April 11-14, 2023. NICE Dhireesha Kudithipudi, Charlotte Frenkel, Suma Cardwell, James B. Aimone
2023	J	`jnl`	Neuromorphic Co-Design as a Game. CoRR Craig M. Vineyard, William M. Severa, James B. Aimone
2023	A	`conf`	Stochastic Neuromorphic Circuits for Solving MAXCUT. IPDPS Bradley H. Theilman, Yipu Wang, Ojas Parekh, William Severa, J. Darby Smith, James B. Aimone
2023	—	`conf`	Synaptic Sampling of Neural Networks. ICRC James B. Aimone, William Severa, J. Darby Smith
2023	J	`jnl`	Synaptic Sampling of Neural Networks. CoRR James B. Aimone, William Severa, J. Darby Smith
2022	J	`jnl`	A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. 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
2022	—	`ed.`	NICE 2022: Neuro-Inspired Computational Elements Conference, Virtual Event, USA, 28 March 2022- 1 April 2022 NICE Murat Okandan, James B. Aimone
2022	—	`conf`	Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Darby Smith, Corinne Teeter, Felix Wang, James B. Aimone
2022	—	`conf`	Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. ICRC 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
2022	J	`jnl`	Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. CoRR 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
2022	—	`conf`	Sequence Learning and Consolidation on Loihi using On-chip Plasticity. NICE Jack Lindsey, James B. Aimone
2022	J	`jnl`	Sequence Learning and Consolidation on Loihi using On-chip Plasticity. CoRR Jack Lindsey, James B. Aimone
2022	J	`jnl`	Spiking Neural Streaming Binary Arithmetic. CoRR James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard
2022	J	`jnl`	Stochastic Neuromorphic Circuits for Solving MAXCUT. CoRR Bradley H. Theilman, Yipu Wang, Ojas D. Parekh, William Severa, J. Darby Smith, James B. Aimone
2021	J	`jnl`	A Roadmap for Reaching the Potential of Brain-Derived Computing. Adv. Intell. Syst. James B. Aimone
2021	—	`conf`	Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling. ICRC James B. Aimone, Richard B. Lehoucq, William Severa, J. Darby Smith
2021	J	`jnl`	Neuromorphic scaling advantages for energy-efficient random walk computation. CoRR J. Darby Smith, Aaron J. Hill, Leah E. Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas Parekh, William Severa, James B. Aimone
2021	B	`conf`	Provable Advantages for Graph Algorithms in Spiking Neural Networks. SPAA James B. Aimone, Yang Ho, Ojas Parekh, Cynthia A. Phillips, Ali Pinar, William Severa, Yipu Wang
2021	—	`conf`	Spiking Neural Streaming Binary Arithmetic. ICRC James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard
2020	J	`jnl`	Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication. CoRR Ojas Parekh, Cynthia A. Phillips, Conrad D. James, James B. Aimone
2020	J	`jnl`	Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers Comput. Neurosci. Frances S. Chance, James B. Aimone, Srideep Musuvathy, Michael R. Smith, Craig M. Vineyard, Felix Wang
2020	—	`ed.`	NICE '20: Neuro-inspired Computational Elements Workshop, Heidelberg, Germany, March 17-20, 2020. NICE Murat Okandan, James B. Aimone
2020	B	`conf`	Provable Neuromorphic Advantages for Computing Shortest Paths. SPAA James B. Aimone, Yang Ho, Ojas Parekh, Cynthia A. Phillips, Ali Pinar, William Severa, Yipu Wang
2020	—	`conf`	Solving a steady-state PDE using spiking networks and neuromorphic hardware. ICONS J. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh, James B. Aimone
2020	J	`jnl`	Solving a steady-state PDE using spiking networks and neuromorphic hardware. CoRR J. Darby Smith, William Severa, Aaron J. Hill, Leah Reeder, Brian Franke, Richard B. Lehoucq, Ojas D. Parekh, James B. Aimone
2020	B	`conf`	Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. SMC Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Fredrick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone
2019	J	`jnl`	Composing Neural Algorithms with Fugu. CoRR James B. Aimone, William Severa, Craig M. Vineyard
2019	—	`conf`	Composing neural algorithms with Fugu. ICONS James B. Aimone, William Severa, Craig M. Vineyard
2019	—	`conf`	Dynamic Programming with Spiking Neural Computing. ICONS James B. Aimone, Ojas Parekh, Cynthia A. Phillips, Ali Pinar, William Severa, Helen Xu
2019	J	`jnl`	Neural algorithms and computing beyond Moore's law. Commun. ACM James B. Aimone
2019	J	`jnl`	Sparse Data Acquisition on Emerging Memory Architectures. IEEE Access Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew J. Marinella, James B. Aimone
2019	J	`jnl`	Training deep neural networks for binary communication with the Whetstone method. Nat. Mach. Intell. William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone
2018	J	`jnl`	Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Comput. Stephen J. Verzi, Fredrick H. Rothganger, Ojas Parekh, Tu-Thach Quach, Nadine E. Miner, Craig M. Vineyard, Conrad D. James, James B. Aimone
2018	B	`conf`	Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication. SPAA Ojas Parekh, Cynthia A. Phillips, Conrad D. James, James B. Aimone
2018	C	`conf`	Dynamic Analysis of Executables to Detect and Characterize Malware. ICMLA Michael R. Smith, Joe Ingram, Christopher C. Lamb, Timothy Draelos, Justin E. Doak, James B. Aimone, Conrad D. James
2018	J	`jnl`	International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer 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
2018	—	`conf`	Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CDC Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia
2018	J	`jnl`	Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CoRR Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia
2018	J	`jnl`	Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification. IEEE Trans. Inf. Forensics Secur. Felix Wang, Tu-Thach Quach, Jason Wheeler, James B. Aimone, Conrad D. James
2018	B	`conf`	Spiking Neural Algorithms for Markov Process Random Walk. IJCNN William Severa, Rich Lehoucq, Ojas Parekh, James B. Aimone
2018	J	`jnl`	Spiking Neural Algorithms for Markov Process Random Walk. CoRR William Severa, Rich Lehoucq, Ojas Parekh, James B. Aimone
2018	J	`jnl`	Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. CoRR William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone
2017	J	`jnl`	A Combinatorial Model for Dentate Gyrus Sparse Coding. Neural Comput. William Severa, Ojas Parekh, Conrad D. James, James B. Aimone
2017	J	`jnl`	A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines. CoRR 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
2017	—	`conf`	A Spike-Timing Neuromorphic Architecture. ICRC 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
2017	B	`conf`	A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. IJCNN 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
2017	J	`jnl`	Context-modulation of hippocampal dynamics and deep convolutional networks. CoRR James B. Aimone, William M. Severa
2017	J	`jnl`	Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation. CoRR William M. Severa, Jerilyn A. Timlin, Suraj Kholwadwala, Conrad D. James, James B. Aimone
2017	J	`jnl`	Dynamic Analysis of Executables to Detect and Characterize Malware. CoRR Michael R. Smith, Joe B. Ingram, Christopher C. Lamb, Timothy J. Draelos, Justin E. Doak, James B. Aimone, Conrad D. James
2017	J	`jnl`	Exponential scaling of neural algorithms - a future beyond Moore's Law? CoRR James B. Aimone
2017	—	`conf`	Neural computing for scientific computing applications: more than just machine learning. NCS James B. Aimone, Ojas Parekh, William Severa
2017	B	`conf`	Neurogenesis deep learning: Extending deep networks to accommodate new classes. IJCNN 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
2017	—	`conf`	Neuromorphic data microscope. NCS David R. Follett, Duncan Townsend, Pamela L. Follett, Gabe D. Karpman, John H. Naegle, Roger A. Suppona, James B. Aimone, Conrad D. James
2017	B	`conf`	Optimization-based computation with spiking neurons. IJCNN Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone
2017	J	`jnl`	Tracking Cyber Adversaries with Adaptive Indicators of Compromise. CoRR 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
2016	—	`conf`	Computing with dynamical systems. ICRC Fred Rothganger, Conrad D. James, James B. Aimone
2016	J	`jnl`	Neurogenesis Deep Learning. CoRR Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Craig M. Vineyard, Kristofor D. Carlson, Conrad D. James, James B. Aimone
2016	B	`conf`	Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. IJCNN Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone
2016	—	`conf`	Spiking network algorithms for scientific computing. ICRC William Severa, Ojas Parekh, Kristofor D. Carlson, Conrad D. James, James B. Aimone
2015	—	`conf`	A Signal Processing Approach for Cyber Data Classification with Deep Neural Networks. Complex Adaptive Systems Jonathan A. Cox, Conrad D. James, James B. Aimone
2015	—	`conf`	MapReduce SVM Game. INNS Conference on Big Data Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
2015	B	`conf`	Repeated play of the SVM game as a means of adaptive classification. IJCNN Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
2015	B	`conf`	Training neural hardware with noisy components. IJCNN Fred Rothganger, Brian R. Evans, James B. Aimone, Erik P. DeBenedictis
2014	—	`ch.`	Memristors as Synapses in Artificial Neural Networks: Biomimicry Beyond Weight Change. Cybersecurity Systems for Human Cognition Augmentation Andrew J. Lohn, Patrick R. Mickel, James B. Aimone, Erik P. DeBenedictis, Matthew J. Marinella
2013	—	`conf`	Adult Neurogenesis: Implications on Human And Computational Decision Making. HCI (24) Craig M. Vineyard, Stephen J. Verzi, Thomas P. Caudell, Michael L. Bernard, James B. Aimone
2013	J	`jnl`	Perspectives for computational modeling of cell replacement for neurological disorders. Frontiers Comput. Neurosci. James B. Aimone, Jason P. Weick
2012	—	`conf`	Neurogenesis in a High Resolution Dentate Gyrus Model. BICA Craig M. Vineyard, James B. Aimone, Glory R. Emmanuel
2007	J	`jnl`	Adult neurogenesis. Scholarpedia James B. Aimone, Sebastian Jessberger, Fred H. Gage