Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Amer, Sherif
Rose, Garrett S.
Beckmann, Karsten
and
Cady, Nathaniel C.
2017.
Design techniques for in-field memristor forming circuits.
p.
1224.
Beckmann, K
Holt, J
Olin-Ammentorp, W
Alamgir, Z
Van Nostrand, J
and
Cady, N C
2017.
The effect of reactive ion etch (RIE) process conditions on ReRAM device performance.
Semiconductor Science and Technology,
Vol. 32,
Issue. 9,
p.
095013.
Plank, James S.
Rose, Garrett S.
Dean, Mark E.
Schuman, Catherine D.
and
Cady, Nathaniel C.
2017.
A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications.
p.
1.
Sayyaparaju, Sagarvarma
Chakma, Gangotree
Amer, Sherif
and
Rose, Garrett S.
2017.
Circuit Techniques for Online Learning of Memristive Synapses in CMOS-Memristor Neuromorphic Systems.
p.
479.
Amer, Sherif
Sayyaparaju, Sagarvarma
Rose, Garrett S.
Beckmann, Karsten
and
Cady, Nathaniel C.
2017.
A practical hafnium-oxide memristor model suitable for circuit design and simulation.
p.
1.
Saxena, Vishal
Wu, Xinyu
Srivastava, Ira
and
Zhu, Kehan
2017.
Towards spiking neuromorphic system-on-a-chip with bio-plausible synapses using emerging devices.
p.
1.
Saxena, Vishal
Wu, Xinyu
Srivastava, Ira
and
Zhu, Kehan
2018.
Towards Neuromorphic Learning Machines Using Emerging Memory Devices with Brain-Like Energy Efficiency.
Journal of Low Power Electronics and Applications,
Vol. 8,
Issue. 4,
p.
34.
Adnan, Md Musabbir
Amer, Sherif
and
Rose, Garrett S.
2018.
A Novel Scan-In Scheme for CMOS/ReRAM Programmable Logic Circuits.
p.
1.
Cai, Yi
Lin, Yujun
Xia, Lixue
Chen, Xiaoming
Han, Song
Wang, Yu
and
Yang, Huazhong
2018.
Long Live TIME: Improving Lifetime for Training-In-Memory Engines by Structured Gradient Sparsification.
p.
1.
Amer, Sherif
Hasan, Md Sakib
and
Rose, Garrett S.
2018.
Analysis and Modeling of Electroforming in Transition Metal Oxide-Based Memristors and Its Impact on Crossbar Array Density.
IEEE Electron Device Letters,
Vol. 39,
Issue. 1,
p.
19.
Beckmann, Karsten
Olin-Ammentorp, Wilkie
Russell, Sierra
Suguitan, Nadia
Hobbs, Chris
Rodgers, Martin
Cady, Nathaniel C.
Rose, Garrett S.
and
Van Nostrand, Joseph
2018.
Synaptic Behavior of Nanoscale ReRAM Devices for the Implementation in a Dynamic Neural Network Array.
p.
1.
Alamgir, Zahiruddin
Holt, Joshua
Beckmann, Karsten
and
Cady, Nathaniel C
2018.
The effect of different oxygen exchange layers on TaOxbased RRAM devices.
Semiconductor Science and Technology,
Vol. 33,
Issue. 1,
p.
015014.
Sayyaparaju, Sagarvarma
Weiss, Ryan
and
Rose, Garrett S.
2018.
A Mixed-Mode Neuron with On-chip Tunability for Generic Use in Memristive Neuromorphic Systems.
p.
441.
Sayyaparaju, Sagarvarma
Amer, Sherif
and
Rose, Garrett S.
2018.
A bi-memristor synapse with spike-timing-dependent plasticity for on-chip learning in memristive neuromorphic systems.
p.
69.
Liu, Mengyun
Xia, Lixue
Wang, Yu
and
Chakrabarty, Krishnendu
2018.
Design of fault-tolerant neuromorphic computing systems.
p.
1.
Saxena, Vishal
Wu, Xinyu
and
Zhu, Kehan
2018.
Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip.
p.
1.
Chaudhuri, Arjun
Liu, Mengyun
and
Chakrabarty, Krishnendu
2019.
Fault-Tolerant Neuromorphic Computing Systems.
p.
1.
Adnan, Md Musabbir
Amer, Sherif
Sayyaparaju, Sagarvarma
Hasan, Md Sakib
and
Rose, Garrett S.
2019.
A Scan Register Based Access Scheme for Multilevel Non-Volatile Memristor Memory.
p.
630.
Xia, Lixue
Liu, Mengyun
Ning, Xuefei
Chakrabarty, Krishnendu
and
Wang, Yu
2019.
Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,
Vol. 38,
Issue. 9,
p.
1611.
Liu, Mengyun
Xia, Lixue
Wang, Yu
and
Chakrabarty, Krishnendu
2019.
Fault tolerance in neuromorphic computing systems.
p.
216.