Perceiving the Present and a Systematization of Illusions. - Mark A. Changizi; Andrew Hsieh; Romi Nijhawan; Ryota Kanai; Shinsuke Shimojo (Cogn. Sci., 2008)

Brain Structure and Individual Differences in Social Behaviors. - Ryota Kanai (AAAI Spring Symposium: Self-Tracking and Collective Intelligence for Personal Wellness, 2012)

TMS of the FEF Interferes with Spatial Conflict. - Lara Bardi; Ryota Kanai; Daniela Mapelli; Vincent Walsh (J. Cogn. Neurosci., 2012)

Moral Values Are Associated with Individual Differences in Regional Brain Volume. - Gary J. Lewis; Ryota Kanai; Timothy C. Bates; Geraint Rees 001 (J. Cogn. Neurosci., 2012)

Inter-individual differences in empathy are reflected in human brain structure. - Michael J. Banissy; Ryota Kanai; Vincent Walsh; Geraint Rees 001 (NeuroImage, 2012)

Neuroanatomical correlates of visual car expertise. - Sharon Gilaie-Dotan; Assaf Harel; Shlomo Bentin; Ryota Kanai; Geraint Rees 001 (NeuroImage, 2012)

Neuroprofiling: Personalized Brain Visualization. - Crystal Goh; Yoshinobu Kano; Ryota Kanai (AAAI Spring Symposium: Data Driven Wellness, 2013)

Individual Differences in Social Media Use Are Reflected in Brain Structure. - KepKee Loh; Ryota Kanai (AAAI Spring Symposium: Data Driven Wellness, 2013)

Early Visual Responses Predict Conscious Face Perception within and between Subjects during Binocular Rivalry. - Kristian Sandberg; Bahador Bahrami; Ryota Kanai; Gareth R. Barnes; Morten Storm Overgaard; Geraint Rees 001 (J. Cogn. Neurosci., 2013)

Heritability of subcortical brain measures: A perspective for future genome-wide association studies. - Anouk den Braber; Marc M. Bohlken; Rachel M. Brouwer; Dennis van 't Ent; Ryota Kanai; René S. Kahn; Eco J. C. de Geus; Hilleke E. Hulshoff Pol; Dorret I. Boomsma (NeuroImage, 2013)

Rapid changes in brain structure predict improvements induced by perceptual learning. - Thomas Ditye; Ryota Kanai; Bahador Bahrami; Neil G. Muggleton; Geraint Rees 001; Vincent Walsh (NeuroImage, 2013)

Commonalities for Numerical and Continuous Quantity Skills at Temporo-parietal Junction. - Marinella Cappelletti; Rebecca Chamberlain; Elliot D. Freeman; Ryota Kanai; Brian Butterworth; Cathy J. Price; Geraint Rees 001 (J. Cogn. Neurosci., 2014)

Dissociable Neuroanatomical Correlates of Subsecond and Suprasecond Time Perception. - Masamichi Hayashi; Moona Kantele; Vincent Walsh; Synnöve Carlson; Ryota Kanai (J. Cogn. Neurosci., 2014)

Drawing on the right side of the brain: A voxel-based morphometry analysis of observational drawing. - Rebecca Chamberlain; I. Chris McManus; Nicola Brunswick; Qona Rankin; Howard Riley; Ryota Kanai (NeuroImage, 2014)

Distinct MEG correlates of conscious experience, perceptual reversals and stabilization during binocular rivalry. - Kristian Sandberg; Gareth Robert Barnes; Bahador Bahrami; Ryota Kanai; Morten Storm Overgaard; Geraint Rees 001 (NeuroImage, 2014)

Occipital GABA correlates with cognitive failures in daily life. - Kristian Sandberg; Jakob Udby Blicher; Mia Yuan Dong; Geraint Rees 001; Jamie Near; Ryota Kanai (NeuroImage, 2014)

Parietal structure and function explain human variation in working memory biases of visual attention. - David Soto; Pia Rotshtein; Ryota Kanai (NeuroImage, 2014)

Neuroprofile: a web-based service for personalized neuroprediction from anatomical brain scans. - Ryota Kanai (UbiComp/ISWC Adjunct, 2015)

Transcranial Direct Current Stimulation of the Motor Cortex Biases Action Choice in a Perceptual Decision Task. - Amir Homayoun Javadi; Angeliki Beyko; Vincent Walsh; Ryota Kanai (J. Cogn. Neurosci., 2015)

Brain activity dynamics in human parietal regions during spontaneous switches in bistable perception. - Fukuda Megumi; Bahador Bahrami; Ryota Kanai; Geraint Rees 001 (NeuroImage, 2015)

Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks. - Nicholas Guttenberg; Martin Biehl 001; Ryota Kanai (CoRR, 2016)

Permutation-equivariant neural networks applied to dynamics prediction. - Nicholas Guttenberg; Nathaniel Virgo; Olaf Witkowski; Hidetoshi Aoki; Ryota Kanai (CoRR, 2016)

Rhythmic Influence of Top-Down Perceptual Priors in the Phase of Prestimulus Occipital Alpha Oscillations. - Maxine T. Sherman; Ryota Kanai; Anil K. Seth; Rufin VanRullen (J. Cogn. Neurosci., 2016)

Counterfactual Control for Free from Generative Models. - Nicholas Guttenberg; Yen Yu; Ryota Kanai (CoRR, 2017)

A description length approach to determining the number of k-means clusters. - Hiromitsu Mizutani; Ryota Kanai (CoRR, 2017)

Learning body-affordances to simplify action spaces. - Nicholas Guttenberg; Martin Biehl 001; Ryota Kanai (CoRR, 2017)

Curiosity-Driven Reinforcement Learning with Homeostatic Regulation. - Ildefons Magrans de Abril; Ryota Kanai (IJCNN, 2018)

Being curious about the answers to questions: novelty search with learned attention. - Nicholas Guttenberg; Martin Biehl 001; Nathaniel Virgo; Ryota Kanai (ALIFE, 2018)

Learning to generate classifiers. - Nicholas Guttenberg; Ryota Kanai (CoRR, 2018)

A unified strategy for implementing curiosity and empowerment driven reinforcement learning. - Ildefons Magrans de Abril; Ryota Kanai (CoRR, 2018)

Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory. - Jun Kitazono; Ryota Kanai; Masafumi Oizumi (Entropy, 2018)

Boredom-Driven Curious Learning by Homeo-Heterostatic Value Gradients. - Yen Yu; Acer Y. C. Chang; Ryota Kanai (Frontiers Neurorobotics, 2018)

Dynamics of a Bayesian Hyperparameter in a Markov Chain. - Martin Biehl 001; Ryota Kanai (IWAI, 2020)

Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot. - Teerawat Kumrai; Joseph Korpela; Takuya Maekawa; Yen Yu; Ryota Kanai (PerCom, 2020)

Non-trivial informational closure of a Bayesian hyperparameter. - Martin Biehl 001; Ryota Kanai (SSCI, 2020)

Deep Learning and the Global Workspace Theory. - Rufin VanRullen; Ryota Kanai (CoRR, 2020)

An Information Theoretic Approach to Reveal the Formation of Shared Representations. - Akihiro Eguchi; Takato Horii; Takayuki Nagai; Ryota Kanai; Masafumi Oizumi (Frontiers Comput. Neurosci., 2020)

Efficient search for informational cores in complex systems: Application to brain networks. - Jun Kitazono; Ryota Kanai; Masafumi Oizumi (Neural Networks, 2020)

Human Cognition and Hyper Intelligence. - D. Frank Hsu; Mohammad Shehata; Shao-Min Hung; Shinsuke Shimojo; Ryota Kanai; Christina Schweikert; Michael W. David; Vincenzo Piuri; Jianhua Ma 002 (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments. - Francesco Massari; Martin Biehl 001; Lisa Meeden; Ryota Kanai (ICDL, 2021)

Goal-Directed Planning by Predictive-Coding based Variational Recurrent Neural Network from Small Training Samples. - Keita Matsumoto; Shinya Tamai; Ryota Kanai (ICDL, 2021)

A Technical Critique of Some Parts of the Free Energy Principle. - Martin Biehl 001; Felix A. Pollock; Ryota Kanai (Entropy, 2021)

AI Agents for Facilitating Social Interactions and Wellbeing. - Hiroaki Hamada; Ryota Kanai (AAAI Spring Symposium: HFIF, 2022)

The Perceiver Architecture is a Functional Global Workspace. - Arthur Juliani; Ryota Kanai; Shuntaro Sasai (CogSci, 2022)

AI agents for facilitating social interactions and wellbeing. - Hiro Taiyo Hamada; Ryota Kanai (CoRR, 2022)

Logical Tasks for Measuring Extrapolation and Rule Comprehension. - Ippei Fujisawa; Ryota Kanai (CoRR, 2022)

Meta-learning, social cognition and consciousness in brains and machines. - Angela Langdon; Matthew M. Botvinick; Hiroyuki Nakahara; Keiji Tanaka; Masayuki Matsumoto; Ryota Kanai (Neural Networks, 2022)

On the link between conscious function and general intelligence in humans and machines. - Arthur Juliani; Kai Arulkumaran; Shuntaro Sasai; Ryota Kanai (Trans. Mach. Learn. Res., 2022)

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness. - Patrick Butlin; Robert Long; Eric Elmoznino; Yoshua Bengio; Jonathan Birch; Axel Constant; George Deane; Stephen M. Fleming; Chris Frith; Xu Ji; Ryota Kanai; Colin Klein; et al. (CoRR, 2023)

Associative Transformer Is A Sparse Representation Learner. - Yuwei Sun; Hideya Ochiai; Zhirong Wu; Stephen Lin 001; Ryota Kanai (CoRR, 2023)

Remembering Transformer for Continual Learning. - Yuwei Sun; Ippei Fujisawa; Arthur Juliani; Jun Sakuma; Ryota Kanai (CoRR, 2024)

Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data. - Motoshige Sato; Kenichi Tomeoka; Ilya Horiguchi; Kai Arulkumaran; Ryota Kanai; Shuntaro Sasai (CoRR, 2024)

ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure. - Ippei Fujisawa; Sensho Nobe; Hiroki Seto; Rina Onda; Yoshiaki Uchida; Hiroki Ikoma; Pei-Chun Chien; Ryota Kanai (CoRR, 2024)

Design and evaluation of a global workspace agent embodied in a realistic multimodal environment. - Rousslan Fernand Julien Dossa; Kai Arulkumaran; Arthur Juliani; Shuntaro Sasai; Ryota Kanai (Frontiers Comput. Neurosci., 2024)

Unsupervised method for representation transfer from one brain to another. - Daiki Nakamura; Shizuo Kaji; Ryota Kanai; Ryusuke Hayashi (Frontiers Neuroinformatics, 2024)

Cybernetic avatars: Teleoperation technologies from in-body monitoring to social interaction. - Norihiro Hagita; Ryota Kanai; Hiroshi Ishiguro; Kouta Minamizawa; Fumihito Arai; Fumio Shimpo; Takeshi Matsumura; Yoko Yamanishi (Sci. Robotics, 2024)

Associative Transformer. - Yuwei Sun; Hideya Ochiai; Zhirong Wu; Stephen Lin 001; Ryota Kanai (CVPR, 2025)

Decoding Vision Transformers: the Diffusion Steering Lens. - Ryota Takatsuki; Sonia Joseph; Ippei Fujisawa; Ryota Kanai (CVPR Workshops, 2025)

MCM: Multi-layer Concept Map for Efficient Concept Learning from Masked Images. - Yuwei Sun; Lu Mi; Ippei Fujisawa; Ryota Kanai (CoRR, 2025)

Active inference for action-unaware agents. - Filippo Torresan; Keisuke Suzuki; Ryota Kanai; Manuel Baltieri (CoRR, 2025)