Pages that link to "Q37851773"
The following pages link to How to grow a mind: statistics, structure, and abstraction (Q37851773):
Displaying 50 items.
- The Causes and Consequences Explicit in Verbs (Q35673277) (← links)
- Structure Learning in Bayesian Sensorimotor Integration (Q35754890) (← links)
- A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning (Q35832118) (← links)
- From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought Approach (Q35837049) (← links)
- Problem Solving as Probabilistic Inference with Subgoaling: Explaining Human Successes and Pitfalls in the Tower of Hanoi (Q35988583) (← links)
- The best time to acquire new skills: age-related differences in implicit sequence learning across the human lifespan (Q36060286) (← links)
- Exploring the Structure of Spatial Representations. (Q36062205) (← links)
- Reconstructing constructivism: causal models, Bayesian learning mechanisms, and the theory theory (Q36173854) (← links)
- Contributions to a neurophysiology of meaning: the interpretation of written messages could be an automatic stimulus-reaction mechanism before becoming conscious processing of information (Q36233832) (← links)
- Iterative free-energy optimization for recurrent neural networks (INFERNO). (Q36304425) (← links)
- Reasoning About Cultural and Genetic Transmission: Developmental and Cross-Cultural Evidence From Peru, Fiji, and the United States on How People Make Inferences About Trait Transmission (Q36324436) (← links)
- A sensorimotor paradigm for Bayesian model selection (Q36364462) (← links)
- CACNA1C gene regulates behavioral strategies in operant rule learning. (Q36399174) (← links)
- A common rule for decision making in animal collectives across species. (Q36483783) (← links)
- Thinking in spatial terms: decoupling spatial representation from sensorimotor control in monkey posterior parietal areas 7a and LIP. (Q36562422) (← links)
- Probabilistic cue combination: less is more (Q36638273) (← links)
- A neural window on the emergence of cognition (Q36922198) (← links)
- Probabilistic Inference: Task Dependency and Individual Differences of Probability Weighting Revealed by Hierarchical Bayesian Modeling (Q36941035) (← links)
- Blocking a redundant cue: what does it say about preschoolers' causal competence? (Q37176765) (← links)
- Neural model for learning-to-learn of novel task sets in the motor domain (Q37246442) (← links)
- Age-dependent and coordinated shift in performance between implicit and explicit skill learning. (Q37246832) (← links)
- Why won't you do what I want? The informative failures of children and models (Q37487904) (← links)
- Identification of probabilities. (Q37686913) (← links)
- Language learners privilege structured meaning over surface frequency (Q37725300) (← links)
- Constructing a new theory from old ideas and new evidence (Q37726023) (← links)
- Scientific thinking in young children: theoretical advances, empirical research, and policy implications (Q38047292) (← links)
- Can quantum probability provide a new direction for cognitive modeling? (Q38106784) (← links)
- Statistical learning as a tool for rehabilitation in spatial neglect (Q38113561) (← links)
- A taxonomy of inductive problems (Q38124000) (← links)
- Theory of mind: a neural prediction problem (Q38135036) (← links)
- Why do you fear the bogeyman? An embodied predictive coding model of perceptual inference (Q38168774) (← links)
- Human creativity, evolutionary algorithms, and predictive representations: The mechanics of thought trials (Q38259025) (← links)
- The Latent Structure of Dictionaries (Q38390045) (← links)
- The algorithmic level is the bridge between computation and brain (Q38396117) (← links)
- Concepts as Semantic Pointers: A Framework and Computational Model (Q38406825) (← links)
- The concepts of representation and information in explanatory theories of human behavior (Q38422805) (← links)
- Rational use of cognitive resources: levels of analysis between the computational and the algorithmic (Q38433266) (← links)
- Hierarchical Bayesian models of cognitive development (Q38446916) (← links)
- Computational rationality: A converging paradigm for intelligence in brains, minds, and machines (Q38549192) (← links)
- Bayesian models of child development (Q38564465) (← links)
- Visual Perceptual Echo Reflects Learning of Regularities in Rapid Luminance Sequences (Q38648028) (← links)
- Changing minds: Children's inferences about third party belief revision (Q38789994) (← links)
- Cognitive Architecture with Evolutionary Dynamics Solves Insight Problem. (Q38839275) (← links)
- Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions. (Q38911276) (← links)
- Information technology and social sciences: how can health IT be used to support the health professional? (Q38956467) (← links)
- Cognitive Phenotypes and the Evolution of Animal Decisions. (Q38969657) (← links)
- Theory of cortical function (Q38975298) (← links)
- Embodiment and Schizophrenia: A Review of Implications and Applications (Q39198587) (← links)
- Formalizing heuristics in decision-making: a quantum probability perspective (Q39219756) (← links)
- Rationalizable irrationalities of choice (Q39227176) (← links)