Adaptive neural oscillator using continuous-time back-propagation learning. - Kenji Doya; Shuji Yoshizawa (Neural Networks, 1989)

Memorizing hierarchical temporal patterns in analog neuron networks. - Kenji Doya; Shuji Yoshizawa (IJCNN, 1990)

Adaptive Synchronization of Neural and Physical Oscillators. - Kenji Doya; Shuji Yoshizawa (NIPS, 1991)

Neural network model of temporal pattern memory. - Kenji Doya; Shuji Yoshizawa (Syst. Comput. Jpn., 1991)

Maaping Between Neural and Physical Activities of the Lobster Gastric Mill. - Kenji Doya; Mary E. T. Boyle; Allen I. Selverston (NIPS, 1992)

A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillations. - Kenji Doya; Allen I. Selverston; Peter F. Rowat (NIPS, 1993)

A Novel Reinforcement Model of Birdsong Vocalization Learning. - Kenji Doya; Terrence J. Sejnowski (NIPS, 1994)

Dimension Reduction of Biological Neuron Models by Artificial Neural Networks. - Kenji Doya; Allen I. Selverston (Neural Comput., 1994)

Temporal Difference Learning in Continuous Time and Space. - Kenji Doya (NIPS, 1995)

Dynamics of Attention as Near Saddle-Node Bifurcation Behavior. - Hiroyuki Nakahara; Kenji Doya (NIPS, 1995)

Efficient Nonlinear Control with Actor-Tutor Architecture. - Kenji Doya (NIPS, 1996)

A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning. - Raju S. Bapi; Kenji Doya (ICONIP, 1998)

Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories. - Jun Morimoto; Kenji Doya (ICONIP, 1998)

A Model of the Electrophysiological Properties of the Inferior Olive Neurons. - Nicolas Schweighofer; Kenji Doya; Mitsuo Kawato (ICONIP, 1998)

Reinforcement learning of dynamic motor sequence: learning to stand up. - Jun Morimoto; Kenji Doya (IROS, 1998)

Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories. - Jun Morimoto; Kenji Doya (Adv. Robotics, 1998)

Near Saddle-Node Bifurcation Behavior as Dynamics in Working Memory for Goal-Directed Behavior. - Hiroyuki Nakahara; Kenji Doya (Neural Comput., 1998)

What are the computations of the cerebellum, the basal ganglia and the cerebral cortex? - Kenji Doya (Neural Networks, 1999)

Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model. - Yasuo Nagayuki; Shin Ishii; Kenji Doya (ICMAS, 2000)

Reinforcement Learning in Continuous Time and Space. - Kenji Doya (Neural Comput., 2000)

Multiple Forward Model Architecture for Sequence Processing. - Raju S. Bapi; Kenji Doya (Sequence Learning, 2001)

Statistical characteristics of climbing fiber spikes necessary for efficient cerebellar learning. - Shinya Kuroda; Kenji Yamamoto; Hiroyuki Miyamoto; Kenji Doya; Mitsuo Kawato (Biol. Cybern., 2001)

Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning. - Jun Morimoto; Kenji Doya (Robotics Auton. Syst., 2001)

Multiple Model-Based Reinforcement Learning. - Kenji Doya; Kazuyuki Samejima; Ken-ichi Katagiri; Mitsuo Kawato (Neural Comput., 2002)

Metalearning and neuromodulation. - Kenji Doya (Neural Networks, 2002)

Introduction for 2002 Special Issue: Computational Models of Neuromodulation. - Kenji Doya; Peter Dayan; Michael E. Hasselmo (Neural Networks, 2002)

Evolving recurrent neural controllers for sequential tasks: a parallel implementation. - Genci Capi; Kenji Doya (IEEE Congress on Evolutionary Computation, 2003)

An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (GECCO, 2003)

Evolution of meta-parameters in reinforcement learning algorithm. - Anders Eriksson; Genci Capi; Kenji Doya (IROS, 2003)

Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter. - Kazuyuki Samejima; Kenji Doya; Yasumasa Ueda; Minoru Kimura (NIPS, 2003)

Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales. - Saori C. Tanaka; Kenji Doya; Go Okada; Kazutaka Ueda; Yasumasa Okamoto; Shigeto Yamawaki (NIPS, 2003)

Inter-module credit assignment in modular reinforcement learning. - Kazuyuki Samejima; Kenji Doya; Mitsuo Kawato (Neural Networks, 2003)

Meta-learning in Reinforcement Learning. - Nicolas Schweighofer; Kenji Doya (Neural Networks, 2003)

Chunking Phenomenon in Complex Sequential Skill Learning in Humans. - Chandrasekhar V. S. Pammi; Krishna P. Miyapuram; Raju S. Bapi; Kenji Doya (ICONIP, 2004)

Switching Particle Filters for Efficient Real-time Visual Tracking. - Takashi Bando; Tomohiro Shibata; Kenji Doya; Shin Ishii (ICPR (2), 2004)

Multi-agent reinforcement learning: using macro actions to learn a mating task. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (IROS, 2004)

Responding to Modalities with Different Latencies. - Fredrik Bissmarck; Hiroyuki Nakahara; Kenji Doya; Okihide Hikosaka (NIPS, 2004)

Hierarchical Bayesian estimation for MEG inverse problem. - Masa-aki Sato; Taku Yoshioka; Shigeki Kajihara; Keisuke Toyama 001; Naokazu Goda; Kenji Doya; Mitsuo Kawato (NeuroImage, 2004)

Reinforcement learning with via-point representation. - Hiroyuki Miyamoto; Jun Morimoto; Kenji Doya; Mitsuo Kawato (Neural Networks, 2004)

Biologically inspired embodied evolution of survival. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (Congress on Evolutionary Computation, 2005)

Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion. - Takamitsu Matsubara; Jun Morimoto; Jun Nakanishi; Masa-aki Sato; Kenji Doya (ICRA, 2005)

Evolution of Neural Architecture Fitting Environmental Dynamics. - Genci Capi; Kenji Doya (Adapt. Behav., 2005)

The Cyber Rodent Project: Exploration of Adaptive Mechanisms for Self-Preservation and Self-Reproduction. - Kenji Doya; Eiji Uchibe (Adapt. Behav., 2005)

Robust Reinforcement Learning. - Jun Morimoto; Kenji Doya (Neural Comput., 2005)

Evolution of recurrent neural controllers using an extended parallel genetic algorithm. - Genci Capi; Kenji Doya (Robotics Auton. Syst., 2005)

Hierarchical Chunking during Learning of Visuomotor Sequences. - Krishna P. Miyapuram; Raju S. Bapi; Chandrasekhar V. S. Pammi; Ahmed; Kenji Doya (IJCNN, 2006)

Application of evolutionary computation for efficient reinforcement learning. - Genci Capi; Kenji Doya (Appl. Artif. Intell., 2006)

fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. - Raju S. Bapi; Krishna P. Miyapuram; F. X. Graydon; Kenji Doya (NeuroImage, 2006)

Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics. - Saori C. Tanaka; Kazuyuki Samejima; Go Okada; Kazutaka Ueda; Yasumasa Okamoto; Shigeto Yamawaki; Kenji Doya (Neural Networks, 2006)

Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints. - Nicolas Schweighofer; K. Shishida; Cheol E. Han; Yasumasa Okamoto; Saori C. Tanaka; Shigeto Yamawaki; Kenji Doya (PLoS Comput. Biol., 2006)

Switching particle filters for efficient visual tracking. - Takashi Bando; Tomohiro Shibata; Kenji Doya; Shin Ishii (Robotics Auton. Syst., 2006)

Learning CPG-based biped locomotion with a policy gradient method. - Takamitsu Matsubara; Jun Morimoto; Jun Nakanishi; Masa-aki Sato; Kenji Doya (Robotics Auton. Syst., 2006)

Designing the Reward System: Computational and Biological Principles. - Kenji Doya (FOCI, 2007)

Estimating Internal Variables of a Decision Maker's Brain: A Model-Based Approach for Neuroscience. - Kazuyuki Samejima; Kenji Doya (ICONIP (1), 2007)

Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents. - Eiji Uchibe; Kenji Doya (ICONIP (2), 2007)

Bayesian System Identification of Molecular Cascades. - Junichiro Yoshimoto; Kenji Doya (ICONIP (1), 2007)

Reinforcement Learning State Estimator. - Jun Morimoto; Kenji Doya (Neural Comput., 2007)

Multiple model-based reinforcement learning explains dopamine neuronal activity. - Mathieu Bertin; Nicolas Schweighofer; Kenji Doya (Neural Networks, 2007)

Erratum to "Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics" [Neural Networks 19 (8) (2006) 1233-1241]. - Saori C. Tanaka; Kazuyuki Samejima; Go Okada; Kazutaka Ueda; Yasumasa Okamoto; Shigeto Yamawaki; Kenji Doya (Neural Networks, 2007)

Nitric Oxide Regulates Input Specificity of Long-Term Depression and Context Dependence of Cerebellar Learning. - Hideaki Ogasawara; Tomokazu Doi; Kenji Doya; Mitsuo Kawato (PLoS Comput. Biol., 2007)

Learning a dynamic policy by using policy gradient: application to biped walking. - Takamitsu Matsubara; Jun Morimoto; Jun Nakanishi; Masa-aki Sato; Kenji Doya (Syst. Comput. Jpn., 2007)

Evolutionary Development of Hierarchical Learning Structures. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (IEEE Trans. Evol. Comput., 2007)

Robust Population Coding in Free-Energy-Based Reinforcement Learning. - Makoto Otsuka; Junichiro Yoshimoto; Kenji Doya (ICANN (1), 2008)

NeuroEvolution Based on Reusable and Hierarchical Modular Representation. - Takumi Kamioka; Eiji Uchibe; Kenji Doya (ICONIP (1), 2008)

A New Natural Policy Gradient by Stationary Distribution Metric. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Kenji Doya (ECML/PKDD (2), 2008)

Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (Adapt. Behav., 2008)

Natural actor-critic with baseline adjustment for variance reduction. - Tetsuro Morimura; Eiji Uchibe; Kenji Doya (Artif. Life Robotics, 2008)

Learning how, what, and whether to communicate: emergence of protocommunication in reinforcement learning agents. - Takashi Sato; Eiji Uchibe; Kenji Doya (Artif. Life Robotics, 2008)

Combining Modalities with Different Latencies for Optimal Motor Control. - Fredrik Bissmarck; Hiroyuki Nakahara; Kenji Doya; Okihide Hikosaka (J. Cogn. Neurosci., 2008)

Neural Networks goes electronic at twenty! - Kenji Doya; Stephen Grossberg; John G. Taylor (Neural Networks, 2008)

Mini-special issue: ICONIP 2007. - Masumi Ishikawa; Kenji Doya (Neural Networks, 2008)

Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. - Eiji Uchibe; Kenji Doya (Neural Networks, 2008)

Calcium Responses Model in Striatum Dependent on Timed Input Sources. - Takashi Nakano; Junichiro Yoshimoto; Jeff Wickens; Kenji Doya (ICANN (1), 2009)

Emergence of Different Mating Strategies in Artificial Embodied Evolution. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (ICONIP (2), 2009)

A Generalized Natural Actor-Critic Algorithm. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Kenji Doya (NIPS, 2009)

A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. - Yusuke Fujiwara; Okito Yamashita; Dai Kawawaki; Kenji Doya; Mitsuo Kawato; Keisuke Toyama 001; Masa-aki Sato (NeuroImage, 2009)

New action editors join the journal! Five exciting special issues in the works! - Kenji Doya; Stephen Grossberg; John G. Taylor (Neural Networks, 2009)

Co-evolution of Rewards and Meta-parameters in Embodied Evolution. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Creating Brain-Like Intelligence, 2009)

Free-energy-based reinforcement learning in a partially observable environment. - Makoto Otsuka; Junichiro Yoshimoto; Kenji Doya (ESANN, 2010)

Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs. - Stefan Elfwing; Makoto Otsuka; Eiji Uchibe; Kenji Doya (ICONIP (1), 2010)

Toward a Spiking-Neuron Model of the Oculomotor System. - Jan Morén; Tomohiro Shibata; Kenji Doya (SAB, 2010)

Adaptive Selection of Learning Strategy for Autonomous Sequence Learning in Rats. - Masato Hoshino; Hiroshi Tsujino; Kenji Doya (Aust. J. Intell. Inf. Process. Syst., 2010)

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Jan Peters 001; Kenji Doya (Neural Comput., 2010)

Editorial for 2010. - Kenji Doya; Stephen Grossberg; John G. Taylor (Neural Networks, 2010)

A computational neural model of goal-directed utterance selection. - Michael Klein; Hans Kamp; Guenther Palm; Kenji Doya (Neural Networks, 2010)

A Kinetic Model of Dopamine- and Calcium-Dependent Striatal Synaptic Plasticity. - Takashi Nakano; Tomokazu Doi; Junichiro Yoshimoto; Kenji Doya (PLoS Comput. Biol., 2010)

Darwinian embodied evolution of the learning ability for survival. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (Adapt. Behav., 2011)

Neurocomputational models of brain disorders. - Vassilis Cutsuridis; Tjitske Heida; Wlodek Duch; Kenji Doya (Neural Networks, 2011)

An excellent year and a transition. - Kenji Doya; Stephen Grossberg; John G. Taylor; DeLiang Wang (Neural Networks, 2011)

Multi-scale, multi-modal neural modeling and simulation. - Shin Ishii; Markus Diesmann; Kenji Doya (Neural Networks, 2011)

Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan. - Kenji Doya; John P. O'Doherty; Alexandre Pouget; Peter Bossaerts; Nathaniel D. Daw; Yael Niv (CogSci, 2012)

MOSAIC for Multiple-Reward Environments. - Norikazu Sugimoto; Masahiko Haruno; Kenji Doya; Mitsuo Kawato (Neural Comput., 2012)

Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. - Chandrasekhar V. S. Pammi; Krishna P. Miyapuram; Ahmed; Kazuyuki Samejima; Raju S. Bapi; Kenji Doya (NeuroImage, 2012)

Expedited review process. - Kenji Doya; John G. Taylor; DeLiang Wang (Neural Networks, 2012)

Loss of a Co-Editor-in-Chief and friend. - Kenji Doya; DeLiang Wang (Neural Networks, 2012)

Reinforcement learning with state-dependent discount factor. - Naoto Yoshida; Eiji Uchibe; Kenji Doya (ICDL-EPIROB, 2013)

A model-based prediction of the calcium responses in the striatal synaptic spines depending on the timing of cortical and dopaminergic inputs and post-synaptic spikes. - Takashi Nakano; Junichiro Yoshimoto; Kenji Doya (Frontiers Comput. Neurosci., 2013)

Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Frontiers Neurorobotics, 2013)

Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task. - Ken Kinjo; Eiji Uchibe; Kenji Doya (Frontiers Neurorobotics, 2013)

Inverse reinforcement learning using Dynamic Policy Programming. - Eiji Uchibe; Kenji Doya (ICDL-EPIROB, 2014)

Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. - Krishna P. Miyapuram; Ujjval Pamnani; Kenji Doya; Raju S. Bapi (ICONIP (1), 2014)

Combining learned controllers to achieve new goals based on linearly solvable MDPs. - Eiji Uchibe; Kenji Doya (ICRA, 2014)

Resting state functional connectivity explains individual scores of multiple clinical measures for major depression. - Kosuke Yoshida; Yu Shimizu; Junichiro Yoshimoto; Shigeru Toki; Go Okada; Masahiro Takamura; Yasumasa Okamoto; Shigeto Yamawaki; Kenji Doya (BIBM, 2015)

Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network. - JeongHun Baek; Shigeyuki Oba; Junichiro Yoshimoto; Kenji Doya; Shin Ishii (ICONIP (3), 2015)

Expected energy-based restricted Boltzmann machine for classification. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Neural Networks, 2015)

Parallel Representation of Value-Based and Finite State-Based Strategies in the Ventral and Dorsal Striatum. - Makoto Ito; Kenji Doya (PLoS Comput. Biol., 2015)

Emergence of communication among reinforcement learning agents under coordination environment. - Qiong Huang 003; Eiji Uchibe; Kenji Doya (ICDL-EPIROB, 2016)

EM-based policy hyper parameter exploration: application to standing and balancing of a two-wheeled smartphone robot. - Jiexin Wang; Eiji Uchibe; Kenji Doya (Artif. Life Robotics, 2016)

State of Neural Networks Is Strong. - Kenji Doya; DeLiang Wang (Neural Networks, 2016)

From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Neural Networks, 2016)

Average Reward Optimization with Multiple Discounting Reinforcement Learners. - Chris Reinke; Eiji Uchibe; Kenji Doya (ICONIP (1), 2017)

Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data. - Kosuke Yoshida; Junichiro Yoshimoto; Kenji Doya (BMC Bioinform., 2017)

Unifying Value Iteration, Advantage Learning, and Dynamic Policy Programming. - Tadashi Kozuno; Eiji Uchibe; Kenji Doya (CoRR, 2017)

Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer. - Jiexin Wang; Eiji Uchibe; Kenji Doya (Frontiers Neurorobotics, 2017)

Promoting Further Developments of Neural Networks. - Kenji Doya; DeLiang Wang (Neural Networks, 2017)

Online meta-learning by parallel algorithm competition. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (GECCO, 2018)

PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. - Paavo Parmas; Carl Edward Rasmussen; Jan Peters 001; Kenji Doya (ICML, 2018)

Robustness of linearly solvable Markov games employing inaccurate dynamics model. - Ken Kinjo; Eiji Uchibe; Kenji Doya (Artif. Life Robotics, 2018)

Unbounded Output Networks for Classification. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (CoRR, 2018)

Connectivity inference from neural recording data: Challenges, mathematical bases and research directions. - Ildefons Magrans de Abril; Junichiro Yoshimoto; Kenji Doya (Neural Networks, 2018)

Fostering deep learning and beyond. - Kenji Doya; DeLiang Wang (Neural Networks, 2018)

Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Neural Networks, 2018)

An Experimental Study of Emergence of Communication of Reinforcement Learning Agents. - Qiong Huang 003; Kenji Doya (AGI, 2019)

Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning. - Tadashi Kozuno; Eiji Uchibe; Kenji Doya (AISTATS, 2019)

Model-based Empowerment Computation for Dynamical Agents. - Yuma Kajihara; Takashi Ikegami; Kenji Doya (SSCI, 2019)

Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN. - Dongqi Han; Kenji Doya; Jun Tani (CoRR, 2019)

Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning. - Tadashi Kozuno; Dongqi Han; Kenji Doya (CoRR, 2019)

MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography. - Henrik Skibbe; Akiya Watakabe; Ken Nakae; Carlos Enrique Gutierrez; Hiromichi Tsukada; Junichi Hata; Takashi Kawase; Rui Gong; Alexander Woodward; Kenji Doya; Hideyuki Okano; Tetsuo Yamamori; et al. (CoRR, 2019)

Language as Goal-Directed Sequential Behavior: Computational Theories, Brain Mechanisms, Evolutionary Roots (NII Shonan Meeting 141). - Kenji Doya; Shimon Edelman; Takashi Hashimoto (NII Shonan Meet. Rep., 2019)

Maximum Credibility Voting (MCV) An Integrative Approach for Accurate Diagnosis of Major Depressive Disorder from Clinically Readily Available Data. - Yu Shimizu; Junichiro Yoshimoto; Masahiro Takamura; Go Okada; Tomoya Matsumoto; Manabu Fuchikami; Satoshi Okada; Shigeru Morinobu; Yasumasa Okamoto; Shigeto Yamawaki; Kenji Doya (APSIPA, 2020)

Variational Recurrent Models for Solving Partially Observable Control Tasks. - Dongqi Han; Kenji Doya; Jun Tani (ICLR, 2020)

Imitation learning based on entropy-regularized forward and inverse reinforcement learning. - Eiji Uchibe; Kenji Doya (CoRR, 2020)

Diffusion functional MRI reveals global brain network functional abnormalities driven by targeted local activity in a neuropsychiatric disease mouse model. - Yoshifumi Abe; Norio Takata; Yuki Sakai; Hiro Taiyo Hamada; Yuichi Hiraoka; Tomomi Aida; Kohichi Tanaka; Denis Le Bihan; Kenji Doya; Kenji F. Tanaka (NeuroImage, 2020)

Announcement of the Neural Networks Best Paper Award. - Kenji Doya; DeLiang Wang (Neural Networks, 2020)

Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks. - Dongqi Han; Kenji Doya; Jun Tani (Neural Networks, 2020)

Effects of transcranial direct current stimulation in brain-computer interface. - Kazumi Kasahara; Tatsuhiro Nakamura; Kazumasa Uehara; Yousuke Ogata; Kenji Doya; Takashi Hanakawa (LifeTech, 2021)

Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots. - Tadahiro Taniguchi; Hiroshi Yamakawa; Takayuki Nagai; Kenji Doya; Masamichi Sakagami; Masahiro Suzuki; Tomoaki Nakamura; Akira Taniguchi (CoRR, 2021)

Goal-Directed Planning by Reinforcement Learning and Active Inference. - Dongqi Han; Kenji Doya; Jun Tani (CoRR, 2021)

Maintaining the Publication Infrastructure in a Worldwide Pandemic. - Kenji Doya; DeLiang Wang (Neural Networks, 2021)

Forward and inverse reinforcement learning sharing network weights and hyperparameters. - Eiji Uchibe; Kenji Doya (Neural Networks, 2021)

Variational oracle guiding for reinforcement learning. - Dongqi Han; Tadashi Kozuno; Xufang Luo; Zhao-Yun Chen; Kenji Doya; Yuqing Yang 001; Dongsheng Li 002 (ICLR, 2022)

Numerical Data Imputation: Choose kNN over Deep Learning. - Florian Lalande; Kenji Doya (SISAP, 2022)

Special issue on Symbol Emergence in Robotics and Cognitive Systems (I). - Tadahiro Taniguchi; Takayuki Nagai; Shingo Shimoda; Angelo Cangelosi; Yiannis Demiris; Yutaka Matsuo; Kenji Doya; Tetsuya Ogata; Lorenzo Jamone; Yukie Nagai; Emre Ugur; Daichi Mochihashi; et al. (Adv. Robotics, 2022)

Special issue on symbol emergence in robotics and cognitive systems (II). - Tadahiro Taniguchi; Takayuki Nagai; Shingo Shimoda; Angelo Cangelosi; Yiannis Demiris; Yutaka Matsuo; Kenji Doya; Tetsuya Ogata; Lorenzo Jamone; Yukie Nagai; Emre Ugur; Daichi Mochihashi; et al. (Adv. Robotics, 2022)

Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure. - Benedikt Feldotto; Jochen Martin Eppler; Cristian Jimenez-Romero; Christopher Bignamini; Carlos Enrique Gutierrez; Ugo Albanese; Eloy Retamino; Viktor Vorobev; Vahid Zolfaghari; Alex Upton; Zhe Sun; Hiroshi Yamaura; et al. (Frontiers Neuroinformatics, 2022)

A Spiking Neural Network Builder for Systematic Data-to-Model Workflow. - Carlos Enrique Gutierrez; Henrik Skibbe; Hugo Musset; Kenji Doya (Frontiers Neuroinformatics, 2022)

Social impact and governance of AI and neurotechnologies. - Kenji Doya; Arisa Ema; Hiroaki Kitano; Masamichi Sakagami; Stuart Russell 001 (Neural Networks, 2022)

Neural Networks special issue on Artificial Intelligence and Brain Science. - Kenji Doya; Karl J. Friston; Masashi Sugiyama; Joshua B. Tenenbaum (Neural Networks, 2022)

Continual growth and a transition. - Kenji Doya; Taro Toyoizumi; DeLiang Wang (Neural Networks, 2022)

A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots. - Tadahiro Taniguchi; Hiroshi Yamakawa; Takayuki Nagai; Kenji Doya; Masamichi Sakagami; Masahiro Suzuki; Tomoaki Nakamura; Akira Taniguchi (Neural Networks, 2022)

Habits and goals in synergy: a variational Bayesian framework for behavior. - Dongqi Han; Kenji Doya; Dongsheng Li 002; Jun Tani (CoRR, 2023)

Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks. - Kim T. Blackwell; Kenji Doya (PLoS Comput. Biol., 2023)

Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach. - Florian Lalande; Kenji Doya (Trans. Mach. Learn. Res., 2023)

Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers including the supercomputer Fugaku. - Yusuke Kuniyoshi; Rin Kuriyama; Shu Omura; Carlos Enrique Gutierrez; Zhe Sun; Benedikt Feldotto; Ugo Albanese; Alois C. Knoll; Taiki Yamada; Tomoya Hirayama; Fabrice O. Morin; Jun Igarashi; et al. (Frontiers Neurorobotics, 2023)

Respiratory modulation of the heart rate: A potential biomarker of cardiorespiratory function in human. - Soheil Keshmiri; Sutashu Tomonaga; Haruo Mizutani; Kenji Doya (Comput. Biol. Medicine, 2024)

Evolution of Rewards for Food and Motor Action by Simulating Birth and Death. - Yuji Kanagawa; Kenji Doya (CoRR, 2024)

Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets. - Florian Lalande; Elizabeth Tasker; Kenji Doya (CoRR, 2024)

Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy Principle. - Theodore Jerome Tinker; Kenji Doya; Jun Tani (Neural Comput., 2024)

A whole-brain analysis of functional connectivity and immediate early gene expression reveals functional network shifts after operant learning. - Kazumi Kasahara; Keigo Hikishima; Mariko Nakata; Tomokazu Tsurugizawa; Noriyuki Higo; Kenji Doya (NeuroImage, 2024)

Training Recurrent Neural Networks with Inherent Missing Data for Wearable Device Applications (Student Abstract). - Sutashu Tomonaga; Haruo Mizutani; Kenji Doya (AAAI, 2025)

Evolution of Fear and Social Rewards in Prey-Predator Relationship. - Yuji Kanagawa; Kenji Doya (CoRR, 2025)