Jun Deguchi

Low-power linear computation using nonlinear ferroelectric tunnel junction memristors

Radu Berdan, Takao Marukame, Kensuke Ota et al. · Nature Electronics · 2020 · 220 citations

Electrical Engineering, Engineering, Low-power Linear Computation +5

A Neuromorphic Chip Optimized for Deep Learning and CMOS Technology With Time-Domain Analog and Digital Mixed-Signal Processing

Daisuke Miyashita, Shouhei Kousai, Tomoya Suzuki et al. · IEEE Journal of Solid-State Circuits · 2017 · 128 citations

Engineering, Machine Learning, Energy Efficiency +20

In-memory Reinforcement Learning with Moderately-Stochastic Conductance Switching of Ferroelectric Tunnel Junctions

Radu Berdan, Takao Marukame, Shoichi Kabuyanagi et al. · 2019 · 39 citations

Engineering, In-memory Reinforcement Learning, Efficient Reinforcement Learning +16

Three-Dimensionally Stacked Analog Retinal Prosthesis Chip

Jun Deguchi, Taiichiro Watanabe, Tomonori Nakamura et al. · Japanese Journal of Applied Physics · 2004 · 31 citations

Electrical Engineering, Medical Electronics, Engineering +12

Time-domain neural network: A 48.5 TSOp/s/W neuromorphic chip optimized for deep learning and CMOS technology

Daisuke Miyashita, Shouhei Kousai, Tomoya Suzuki et al. · 2016 · 24 citations

Engineering, Tsop/s/w Neuromorphic Chip, Computer Architecture +18