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Conrad D. James
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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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