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ORCIDSagarvarma Sayyaparaju
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Journal Articles
- 2021
[j2]Md Musabbir Adnan, Sagarvarma Sayyaparaju, Samuel D. Brown, Mst Shamim Ara Shawkat
, Catherine D. Schuman, Garrett S. Rose:
Design of a Robust Memristive Spiking Neuromorphic System with Unsupervised Learning in Hardware. ACM J. Emerg. Technol. Comput. Syst. 17(4): 56:1-56:26 (2021)- 2020
- [j1]Sagarvarma Sayyaparaju, Md Musabbir Adnan, Sherif Amer, Garrett S. Rose:
Device-aware Circuit Design for Robust Memristive Neuromorphic Systems with STDP-based Learning. ACM J. Emerg. Technol. Comput. Syst. 16(3): 28:1-28:25 (2020)
Conference and Workshop Papers
- 2020
- [c9]Sagarvarma Sayyaparaju, Mst Shamim Ara Shawkat, Md Musabbir Adnan, Garrett S. Rose:
Circuit Techniques for Efficient Implementation of Memristor Based Reservoir Computing. ISCAS 2020: 1-5 - 2019
- [c8]Md Musabbir Adnan, Sherif Amer, Sagarvarma Sayyaparaju, Md Sakib Hasan, Garrett S. Rose:
A Scan Register Based Access Scheme for Multilevel Non-Volatile Memristor Memory. ICECS 2019: 630-633 - [c7]Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel C. Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett S. Rose, Joseph Van Nostrand:
Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks. ICONS 2019: 6:1-6:4 - 2018
- [c6]Sagarvarma Sayyaparaju, Sherif Amer, Garrett S. Rose:
A bi-memristor synapse with spike-timing-dependent plasticity for on-chip learning in memristive neuromorphic systems. ISQED 2018: 69-74 - [c5]Sagarvarma Sayyaparaju, Ryan Weiss, Garrett S. Rose:
A Mixed-Mode Neuron with On-chip Tunability for Generic Use in Memristive Neuromorphic Systems. ISVLSI 2018: 441-446 - [c4]Md Musabbir Adnan, Sagarvarma Sayyaparaju, Garrett S. Rose, Catherine D. Schuman, Bon Woong Ku, Sung Kyu Lim:
A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems. SoCC 2018: 37-42 - 2017
- [c3]Sagarvarma Sayyaparaju, Gangotree Chakma, Sherif Amer, Garrett S. Rose:
Circuit Techniques for Online Learning of Memristive Synapses in CMOS-Memristor Neuromorphic Systems. ACM Great Lakes Symposium on VLSI 2017: 479-482 - [c2]Sherif Amer, Sagarvarma Sayyaparaju, Garrett S. Rose, Karsten Beckmann, Nathaniel C. Cady:
A practical hafnium-oxide memristor model suitable for circuit design and simulation. ISCAS 2017: 1-4 - [c1]Gangotree Chakma, Sagarvarma Sayyaparaju, Ryan Weiss, Garrett S. Rose:
A mixed-signal approach to memristive neuromorphic system design. MWSCAS 2017: 547-550
Coauthor Index
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