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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
Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms
Logical Tasks for Measuring Extrapolation and Rule Comprehension
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
A Pragmatic Look at Deep Imitation Learning
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
2023
Emergent spacetime from a momentum gauge and electromagnetism
Autonomous, bidding, credible, decentralized, ethical, and funded (ABCDEF) publishing
2022
Anticipatory dynamics in the human brain guide foraging for primary rewards
A generalization of the maximum entropy principle for curved statistical manifolds