ARAYA Research https://validator.w3.org/feed/docs/rss2.html HOME Frequency tuning for temporal perception and prediction 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 Action and perception for spatiotemporal patterns Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks The Uniformity Illusion: Central Stimuli Can Determine Peripheral Perception Specific and Complete Local Integration of Patterns in Bayesian Networks Permutation-equivariant neural networks applied to dynamics prediction Information integration in a globally coupled chaotic system Information geometry connecting Wasserstein distance and Kullback–Leibler divergence via the entropy-relaxed transportation problem Being curious about the answers to questions: novelty search with learned attention Geometry of Friston’s active inference Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop Counterfactual Control for Free with Generative Models Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory A description length approach to determining the number of k-means clusters Learning body-affordances to simplify action spaces Conscious Perception as Integrated Information Patterns in Human Electrocorticography Fast and exact search for the partition with minimal information loss Integrated information and dimensionality in continuous attractor dynamics Intrinsically-motivated reinforcement learning for control with continuous actions Curiosity-Driven Reinforcement Learning with Homeostatic Regulation Representations of time in human frontoparietal cortex An Information Theoretic Approach to Reveal the Formation of Shared Representation Boredom-Driven Curious Learning by Homeo-Heterostatic Value Gradient Information Closure Theory of Consciousness Developing a short-term phenomenological training program: A report of methodological lessons. The genetic architecture of the human cerebral cortex Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot Efficient search for informational cores in complex systems: Application to brain networks Temporal variability of brain networks predicts individual differences in bistable perception Information generation as a functional basis of consciousness Chronotopic maps in human supplementary motor area A unified strategy for implementing curiosity and empowerment driven reinforcement learning Learning to generate classifiers Genetic architecture of subcortical brain structures in 38,851 individuals BETH Dataset: Real Cybersecurity Data for Anomaly Detection Research Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments Goal-Directed Planning by Predictive-Coding based Variational Recurrent Neural Network from Small Training Samples Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay Generalization of the maximum entropy principle for curved statistical manifolds Meta-learning, social cognition and consciousness in brains and machines Distillation of Regional Activity Reveals Hidden Content of Neural Information in Visual Processing Gray matter analysis of MRI images: Introduction to current research practice Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Perceptual uncertainty alternates top-down and bottom-up fronto-temporal network signaling during response inhibition The Emperor’s New Markov Blankets Deep learning and the Global Workspace Theory