Koji Nakajima

40 papers B 11C 1Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2022 — conf
Development of Education Curriculum in the Data Science Area for a Liberal Arts University.
WCCE
Zhihua Zhang, Toshiyuki Yamamoto, Koji Nakajima
2022 J jnl
Hypothalamic interaction with reward-related regions during subjective evaluation of foods.
NeuroImage
Akitoshi Ogawa, Takahiro Osada, Masaki Tanaka, Akimitsu Suda, Koji Nakajima, Satoshi Oka, Koji Kamagata, Shigeki Aoki, Yasushi Oshima, Sakae Tanaka, Nobutaka Hattori, Seiki Konishi
2020 J jnl
Time- and Learner-Dependent Hidden Markov Model for Writing Process Analysis Using Keystroke Log Data.
Int. J. Artif. Intell. Educ.
Masaki Uto, Yoshimitsu Miyazawa, Yoshihiro Kato, Koji Nakajima, Hajime Kuwata
2017 — conf
Complexity Reduction of Neural Network Model for Local Motion Detection in Motion Stereo Vision.
ICONIP (6)
Hisanao Akima, Susumu Kawakami, Jordi Madrenas, Satoshi Moriya, Masafumi Yano, Koji Nakajima, Masao Sakuraba, Shigeo Sato
2016 J jnl
CMOS Majority Circuit with Large Fan-In.
IEICE Trans. Electron.
Hisanao Akima, Yasuhiro Katayama, Masao Sakuraba, Koji Nakajima, Jordi Madrenas, Shigeo Sato
2014 J jnl
Foreword.
IEICE Trans. Electron.
Koji Nakajima
2014 B conf
Majority neuron circuit having large fan-in with non-volatile synaptic weight.
IJCNN
Hisanao Akima, Yasuhiro Katayama, Koji Nakajima, Masao Sakuraba, Shigeo Sato
2014 J jnl
Neuron Circuit Using Coupled SQUIDs Gate with Flat Output Characteristics for Superconducting Neural Network.
IEICE Trans. Electron.
Takeshi Onomi, Koji Nakajima
2011 J jnl
High Throughput Parallel Arithmetic Circuits for Fast Fourier Transform.
IEICE Trans. Electron.
Ryosuke Nakamoto, Sakae Sakuraba, Alexandre Martins, Takeshi Onomi, Shigeo Sato, Koji Nakajima
2011 — conf
Method of Solving Combinatorial Optimization Problems with Stochastic Effects.
ICONIP (3)
Takahiro Sota, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima
2010 J jnl
Design of the inverse function delayed neural network for solving combinatorial optimization problems.
IEEE Trans. Neural Networks
Yoshihiro Hayakawa, Koji Nakajima
2009 J jnl
Application of Single Electron Devices Utilizing Stochastic Dynamics.
Int. J. Nanotechnol. Mol. Comput.
Shigeo Sato, Koji Nakajima
2008 J jnl
Hardware Neural Network for a Visual Inspection System.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Seungwoo Chun, Yoshihiro Hayakawa, Koji Nakajima
2008 — conf
Parameter Analysis for Removing the Local Minima of Combinatorial Optimization Problems by Using the Inverse Function Delayed Neural Network.
ICONIP (1)
Yoshihiro Hayakawa, Koji Nakajima
2008 J jnl
Recalling Temporal Sequences of Patterns Using Neurons with Hysteretic Property.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Johan Sveholm, Yoshihiro Hayakawa, Koji Nakajima
2008 B conf
Study on the performance of neuromorphic adiabatic quantum computation algorithms.
IJCNN
Aiko Ono, Shigeo Sato, Mitsunaga Kinjo, Koji Nakajima
2007 J jnl
Avoidance of the Permanent Oscillating State in the Inverse Function Delayed Neural Network.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Akari Sato, Yoshihiro Hayakawa, Koji Nakajima
2007 J jnl
Design of a Neural Network Chip for the Burst ID Model with Ability of Burst Firing.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shinya Suenaga, Yoshihiro Hayakawa, Koji Nakajima
2007 — conf
Energy Dissipation Effect on a Quantum Neural Network.
ICONIP (2)
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima
2007 J jnl
Macroscopic Quantum Tunneling and Resonant Activation of Current Biased Intrinsic Josephson Junctions in Bi-2212.
IEICE Trans. Electron.
Shigeo Sato, Kunihiro Inomata, Mitsunaga Kinjo, Nobuhiro Kitabatake, Koji Nakajima, Huabing Wang, Takeshi Hatano
2006 B conf
A Study on Learning with a Quantum Neural Network.
IJCNN
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima
2006 J jnl
Dynamical Behavior of Neural Networks with Anti-Symmetrical Cyclic Connections.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shinya Suenaga, Yoshihiro Hayakawa, Koji Nakajima
2006 J jnl
Hardware Implementation of an Inverse Function Delayed Neural Network Using Stochastic Logic.
IEICE Trans. Inf. Syst.
Hongge Li, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima
2006 J jnl
Temporal Sequences of Patterns with an Inverse Function Delayed Neural Network.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Johan Sveholm, Yoshihiro Hayakawa, Koji Nakajima
2005 B conf
Basic property of a quantum neural network composed of Kane's qubits.
IJCNN
Yuuki Nakamiya, Mitsunaga Kinjo, Osamu Takahashi, Shigeo Sato, Koji Nakajima
2005 J jnl
Retrieval Property of Associative Memory Based on Inverse Function Delayed Neural Networks.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hongge Li, Yoshihiro Hayakawa, Koji Nakajima
2005 B conf
Retrieval property of associative memory with negative resistance.
IJCNN
Yoshihiro Hayakawa, Hongge Li, Koji Nakajima
2004 B conf
A study on neuromorphic quantum computation.
IJCNN
Shigeo Sato, Mitsunaga Kinjo, Osamu Takahashi, Yuuki Nakamiya, Koji Nakajima
2004 B conf
Analysis of Limit-Cycles on Neural Networks with Asymmetrical Cyclic Connections Using Approximately Activation Functions.
KES
Shinya Suenaga, Yoshihiro Hayakawa, Koji Nakajima
2004 B conf
Design of Single Electron Circuitry for a Stochastic Logic Neural Network.
KES
Hisanao Akima, Shigeo Sato, Koji Nakajima
2004 B conf
Implementation of a large scale hardware neural network system based on stochastic logic.
IJCNN
Akiyoshi Momoi, Shunsuke Akimoto, Shigeo Sato, Koji Nakajima
2004 B conf
Inverse Function Delayed Model for Optimization Problems.
KES
Yoshihiro Hayakawa, Tatsuaki Denda, Koji Nakajima
2003 J jnl
Implementation of a new neurochip using stochastic logic.
IEEE Trans. Neural Networks
Shigeo Sato, Ken Nemoto, S. Akimoto, Mitsunaga Kinjo, Koji Nakajima
2003 C conf
Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network.
ICANN
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima
2002 J jnl
Foreword.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Koji Nakajima, Masaki Sano, Yoshinori Hayakawa
2000 — conf
Characteristics of Small Scale Non-Monotonic Neuron Networks Having Large Potentiality for Learning.
IJCNN (4)
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima
1999 — conf
A simple M-dimensional model-based phase unwrapping based on integration by parts.
ISCAS (5)
Isao Yamada, Koji Nakajima
1999 B conf
A study on DBM network with non-monotonic neurons.
IJCNN
Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima
1998 — conf
Dynamic behaviors of an integrated circuit for recurrent neural networks.
KES (3)
Koji Nakajima
1993 J jnl
Correct reaction neural network.
Neural Networks
Koji Nakajima, Yoshihiro Hayakawa