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From brain to education through machine learning: Predicting literacy and numeracy skills from neuroimaging data
Syntactic theory of mathematical expressions
Collective Predictive Coding as Model of Science: Formalizing Scientific Activities Towards Generative Science
Explosive neural networks via higher-order interactions in curved statistical manifolds
Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data
Neural correlates of phenomenological attitude toward perceptual experience
Decoding passive tactile shape from functional MRI signals
Disentangled Representations for Causal Cognition
Toward a universal theory of consciousness
Design and Evaluation of a Global Workspace Agent Embodied in a Realistic Multimodal Environment
Optogenetic activation of dorsal raphe serotonin neurons induces brain-wide activation
Association of bidirectional network cores in the brain with conscious perception and cognition
bioRxiv
A Pragmatic Look at Deep Imitation Learning
Zero-Shot Object Manipulation with Semantic 3D Image Augmentation for Perceiver-Actor
Fine-Grained Object Detection and Manipulation with Segmentation-Conditioned Perceiver-Actor
Intergenerational transmission of brain structure and function in humans: a narrative review of designs, methods, and findings
Delineating neural contributions to electroencephalogram-based speech decoding
The Extensible Multi-Robot Multi-Goal Manipulation Benchmark for Human-Robot Interfaces
A Comparison of Visual and Auditory EEG Interfaces for Robot Multi-stage Task Control
Remembering Transformer for Continual Learning
Open-loop VLM Robot Planning: An Investigation of Fine-tuning and Prompt Engineering Strategies
Emergent Elastic Surfaces from Two-Dimensional Dirac Materials
Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures
BRAIN2MUSIC: RECONSTRUCTING MUSIC FROM HUMAN BRAIN ACTIVITY
From brain to education through machine learning: Predicting literacy and numeracy skills from neuroimaging data
Meta-Representations as Representations of Processes
Stimulation technology for brain and nerves, now and future
分散型科学が拓く新たなエコシステム:DeSci.Tokyoが果たす役割
Investigation of Information Processing Mechanisms in the Human Brain During Reading Tanka Poetry
Cognitive Dynamics Estimation: A whole-brain spatial regression paradigm for extracting the temporal dynamics of cognitive processes
On the role of shape features in metaphor generation for abstract images
A Novel Deep Learning Based Emotion Recognition Approach to well Being from Fingertip Blood Volume Pulse
Design of an fMRI-compatible pneumatic tactile array for spatiotemporal stimulation
Subjectivity of time perception alters choice preference for future rewards through fronto-striatal value signal dynamics
Continuous decision to wait for a future reward is guided by fronto-hippocampal anticipatory dynamics
Hippocampal volume mediates the relationship of parental rejection in childhood with social cognition in healthy adults
Evaluation of the Hierarchical Correspondence between the Human Brain and Artificial Neural Networks
Towards a Universal Theory of Consciousness
Associative Transformer is a Sparse Representation Learner
研究開発における新たな科学運営モデル
Syntactic theory of mathematical expressions
Emergent spacetime from a Berry-inspired dynamical gauge field coupled to electromagnetism
A clearing in the objectivity of aesthetics?
Review of Performance Improvement of a Noninvasive Brain-computer Interface in Communication and Motor Control for Clinical Applications
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
A Deep Learning Approach to Detecting Temporal Characteristics of Cortical Regions
Autonomous, bidding, credible, decentralized, ethical, and funded (ABCDEF) publishing [version 1; peer review: awaiting peer review]
Deep CANALs: A Deep Learning Approach to Refining the Canalization Theory of Psychopathology
Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range
Geometric Structures Induced by Deformations of the Legendre Transform
A human machine interface suggested from neuroscientific analysis of human factor
Thermodynamics of exponential Kolmogorov-Nagumo averages
Curvature-induced pseudogauge fields from time-dependent geometries in graphene
Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms
System Integrated Information
Optimal Control Costs of Brain State Transitions in Linear Stochastic Systems
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems
A Novel Deep Learning Based Emotion Recognition Approach to well Being from Fingertip Blood Volume Pulse
Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Design of an fMRI-compatible pneumatic tactile array for spatiotemporal stimulation
The neuroanatomy of social trust predicts depression vulnerability
The Emperor Is Naked: Replies to commentaries on the target article
Reconstruction of Science with Web3 Technology
Curvature induced pseudo-gauge fields from time-dependent geometries in graphene
Optogenetic activation of dorsal raphe serotonin neurons induces a brain-wide response in reward network
Interpreting Dynamical Systems as Bayesian Reasoners
Human foraging for primary rewards is guided by fronto-hippocampal dynamics of anticipation
An Information Theoretic Approach to Reveal the Formation of Shared Representation
Being curious about the answers to questions: novelty search with learned attention
Information geometry connecting Wasserstein distance and Kullback–Leibler divergence via the entropy-relaxed transportation problem
Curiosity-Driven Reinforcement Learning with Homeostatic Regulation
Fast and exact search for the partition with minimal information loss
Representations of time in human frontoparietal cortex
Boredom-Driven Curious Learning by Homeo-Heterostatic Value Gradient
Learning to generate classifiers
A unified strategy for implementing curiosity and empowerment driven reinforcement learning
Temporal variability of brain networks predicts individual differences in bistable perception
Geometry of Friston’s active inference
Chronotopic maps in human supplementary motor area
Information generation as a functional basis of consciousness
Genetic architecture of subcortical brain structures in 38,851 individuals
Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot
The genetic architecture of the human cerebral cortex
Developing a short-term phenomenological training program: A report of methodological lessons.
Information Closure Theory of Consciousness
Efficient search for informational cores in complex systems: Application to brain networks
Integrated information and dimensionality in continuous attractor dynamics
Neuroprofile: a web-based service for personalized neuroprediction from anatomical brain scans
Predictions Shape Confidence in Right Inferior Frontal Gyrus
Measuring Integrated Information from the Decoding Perspective
Frequency tuning for temporal perception and prediction
Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks
Permutation-equivariant neural networks applied to dynamics prediction
The Uniformity Illusion: Central Stimuli Can Determine Peripheral Perception
Specific and Complete Local Integration of Patterns in Bayesian Networks
Action and perception for spatiotemporal patterns
Diffusion functional MRI reveals global brain network functional abnormalities driven by targeted local activity in a neuropsychiatric disease mouse model
Intrinsically-motivated reinforcement learning for control with continuous actions
Conscious Perception as Integrated Information Patterns in Human Electrocorticography
Learning body-affordances to simplify action spaces
Counterfactual Control for Free with Generative Models
A description length approach to determining the number of k-means clusters
Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory
Information integration in a globally coupled chaotic system
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
Learning Relative Return Policies With Upside-Down Reinforcement Learning
Counterfactual Explanation of Brain Activity Classifiers using Image-to-Image Transfer by Generative Adversarial Network
The Emperor’s New Markov Blankets
On co-activation pattern analysis and non-stationarity of resting brain activity
Coexistence of sensory qualities and value representations in human orbitofrontal cortex
AI agents for facilitating social interactions and wellbeing
Ode to Legendre: Geometric and thermodynamic implications on curved statistical manifolds
Minimal Criterion Artist Collective
Evolving Spaceships with a Hybrid L-system Constrained
Optimisation Evolutionary Algorithm
Perceptual uncertainty alternates top-down and bottom-up fronto-temporal network signaling during response inhibition
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL
Functions of consciousness: conceptual clarification
Quantifying brain state transition cost via Schrödinger’s bridge
On the link between conscious function and general intelligence in humans and machines
Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation
TOB is an effector of the hippocampus-mediated acute stress response
Refining the negative into general and specific
The Perceiver Architecture is a Functional Global Workspace
Goal-Directed Planning by Predictive-Coding based Variational Recurrent Neural Network from Small Training Samples
A new experimental phenomenological method to explore the subjective features of psychological phenomena: its application to binocular rivalry
Non-trivial informational closure of a Bayesian hyperparameter
Dynamics of a Bayesian Hyperparameter in a Markov Chain
Causal Blankets: Theory and Algorithmic Framework
Schwinger pair production in SL(2,C) topologically nontrivial fields via non-Abelian worldline instantons
A Technical Critique of Some Parts of the Free Energy Principle
Deep learning and the Global Workspace Theory
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments
Linking human behaviour to brain structure: further challenges and possible solutions
Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay
bioRxiv
Generalization of the maximum entropy principle for curved statistical manifolds
BETH Dataset: Real Cybersecurity Data for Anomaly Detection Research
Distillation of Regional Activity Reveals Hidden Content of Neural Information in Visual Processing
Gray matter analysis of MRI images: Introduction to current research practice
Meta-learning, social cognition and consciousness in brains and machines
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
2022
Anticipatory dynamics in the human brain guide foraging for primary rewards
A generalization of the maximum entropy principle for curved statistical manifolds