Pages that link to "Item:Q2407653"
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The following pages link to A tutorial on the free-energy framework for modelling perception and learning (Q2407653):
Displaying 20 items.
- Active inference on discrete state-spaces: a synthesis (Q826935) (← links)
- The free energy principle for action and perception: a mathematical review (Q1690603) (← links)
- A step-by-step tutorial on active inference and its application to empirical data (Q2116075) (← links)
- Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks (Q2163578) (← links)
- Retrospective surprise: a computational component for active inference (Q2197089) (← links)
- Deep active inference as variational policy gradients (Q2197091) (← links)
- How downwards causation occurs in digital computers (Q2286509) (← links)
- Model-based cognitive neuroscience (Q2407631) (← links)
- Bayesian mechanics of perceptual inference and motor control in the brain (Q2659634) (← links)
- (Q3198872) (← links)
- A Predictive-Coding Network That Is Both Discriminative and Generative (Q3386402) (← links)
- Optimal Decision Making on the Basis of Evidence Represented in Spike Trains (Q3564826) (← links)
- Learning in Volatile Environments With the Bayes Factor Surprise (Q5004296) (← links)
- Active Inference: Demystified and Compared (Q5004319) (← links)
- Bayesian Brains and the Rényi Divergence (Q5081134) (← links)
- Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion (Q5157175) (← links)
- Recognition Dynamics in the Brain under the Free Energy Principle (Q5157242) (← links)
- An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity (Q5380699) (← links)
- The free energy principle made simpler but not too simple (Q6094621) (← links)
- Learning from what's right and learning from what's wrong (Q6653752) (← links)