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2020 – today
- 2020
[i9]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
- [j8]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) - [j7]Amir Borna, Tony R. Carter, Paul DeRego, Conrad D. James, Peter D. D. Schwindt:
Magnetic Source Imaging Using a Pulsed Optically Pumped Magnetometer Array. IEEE Trans. Instrum. Meas. 68(2): 493-501 (2019) - 2018
- [j6]Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James:
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 86-101 (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) - [c16]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 - [c15]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 - [c14]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 - [i8]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) - 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) - [c13]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 - [c12]Robin B. Jacobs-Gedrim, Sapan Agarwal, Kathrine E. Knisely, Jim E. Stevens, Michael S. van Heukelom, David R. Hughart, John Niroula, Conrad D. James, Matthew J. Marinella:
Impact of Linearity and Write Noise of Analog Resistive Memory Devices in a Neural Algorithm Accelerator. ICRC 2017: 1-10 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [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]Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James:
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator. CoRR abs/1707.09952 (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]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
- [c7]Fred Rothganger, Conrad D. James, James B. Aimone:
Computing with dynamical systems. ICRC 2016: 1-3 - [c6]William Severa, Ojas Parekh, Kristofor D. Carlson, Conrad D. James, James B. Aimone:
Spiking network algorithms for scientific computing. ICRC 2016: 1-8 - [c5]Sapan Agarwal, Steven J. Plimpton, David R. Hughart, Alexander H. Hsia, Isaac Richter, Jonathan A. Cox, Conrad D. James, Matthew J. Marinella:
Resistive memory device requirements for a neural algorithm accelerator. IJCNN 2016: 929-938 - [c4]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 - [i2]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
- [c3]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 - [c2]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 - [c1]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
- [i1]Andrew J. Lohn, Patrick R. Mickel, Conrad D. James, Matthew J. Marinella:
Degenerate Resistive Switching and Ultrahigh Density Storage in Resistive Memory. CoRR abs/1406.4033 (2014)
2000 – 2009
- 2004
- [j2]Conrad D. James, Andrew J. H. Spence, Natalie M. Dowell-Mesfin, Rifat J. Hussain, Karen L. Smith, Harold G. Craighead, Michael S. Isaacson, William Shain, James N. Turner:
Extracellular recordings from patterned neuronal networks using planar microelectrode arrays. IEEE Trans. Biomed. Eng. 51(9): 1640-1648 (2004) - 2000
- [j1]Conrad D. James, Robert Davis, M. Meyer, A. Turner, S. Turner, G. Withers, Lance C. Kam, Gary Banker, Harold G. Craighead, Michael S. Isaacson, James N. Turner, William Shain:
Aligned microcontact printing of micrometer-scale poly-L-Lysine structures for controlled growth of cultured neurons on planar microelectrode arrays. IEEE Trans. Biomed. Eng. 47(1): 17-21 (2000)
Coauthor Index
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