Wonsun Yang
Kookmin University
10 Papers
35 Citations
Wonsun Yang is an academic researcher from Kookmin University. The author has contributed to research in topics: Memristor & Neuromorphic engineering. The author has an hindex of 5, co-authored 10 publications.
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Papers
New pulse amplitude modulation for fine tuning of memristor synapses
TL;DR: A new Pulse Amplitude Modulation (PAM) method for the fine tuning of memristor conductance is proposed and verified by the experimental measurement of real memristors, where the new PAM could reduce the pulse-to-pulse fluctuation in conductance change per pulse by 84.8%, compared to the previous linear PAM.
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Memristor circuits and systems for future computing and bio-inspired information processing
Son Ngoc Truong,Khoa Van Pham,Wonsun Yang,Kyeong-Sik Min +3 more
- 01 Oct 2016
TL;DR: The memristor logics is reviewed, then, neuromorphicmemristor crossbars which can mimic the brain's pattern recognition of speech and image are introduced which strongly highlight the future possibility of Memristor circuits in brain-mimicking pattern processing.
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Ta2O5-memristor synaptic array with winner-take-all method for neuromorphic pattern matching
Son Ngoc Truong,Khoa Van Pham,Wonsun Yang,Kyeong-Sik Min,Yawar Abbas,Chi Jung Kang,Sangho Shin,Kenneth D. Pedrotti +7 more
TL;DR: From the measurement results, it is confirmed that all three input patterns can be recognized well by using a twin memristor crossbar with memristive synaptic arrays for neuromorphic pattern recognition.
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FPGA-based training and recalling system for memristor synapses
Son Ngoc Truong,Khoa Van Pham,Wonsun Yang,Jae-Sang Song,Hyun-Sun Mo,Kyeong-Sik Min +5 more
- 01 Jan 2016
TL;DR: This paper shows an implementation of FPGA-based training and recalling system of memristor synapses and compares various pule modulation schemes, finding that the pulse amplitude modulation is more suitable to train memristOr synapses precisely than the others.
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Live demonstration: Memristor synaptic array with FPGA-implemented neurons for neuromorphic pattern recognition
Son Ngoc Truong,Khoa Van Pham,Wonsun Yang,Kyeong-Sik Min,Yawar Abbas,Chi Jung Kang +5 more
- 01 Oct 2016
TL;DR: In this work, memristors are considered suitable for neuromorphic circuits and systems, because they have some similarities with brain's neuronal systems, and are possibly 3-dimensioanl, parallel, analog, defective, etc like brain's neurons.
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