Fitting Predictive Coding to the Neurophysiological Data.
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Summary
It is shown that the model can be modified so as to fit the empirical data more successfully and some of the discrepancies between the proposed predicticoding model and the neuro-biology are highlighted.
- Type
- article
- Published
- 2019-10-01
- Cited by
- 18
- References
- 74
- Access
- Open access
- OpenAlex
- https://openalex.org/W2955990109
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:195786330
Keywords
Predictive coding, Neurophysiology, Coding (social sciences), Visual cortex, Computer science
References
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- Prediction, Cognition and the Brain
- Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation
- Prior Expectations Bias Sensory Representations in Visual Cortex
- Probabilistic brains: knowns and unknowns
- Image Segmentation Using a Sparse Coding Model of Cortical Area V1
- Expectation (and attention) in visual cognition.
- Predictions not commands: active inference in the motor system
- Models and processes of multisensory cue combination
- Integration of visual motion and locomotion in mouse visual cortex
- Neuronal population coding of movement direction.
Cited by
- Learning prediction error neurons in a canonical interneuron circuit
- Evaluating the neurophysiological evidence for predictive processing as a model of perception
- Tightening the Biological Constraints on Gradient-Based Predictive Coding
- Predictive processing models and affective neuroscience
- Bayesian theories of consciousness: a review in search for a minimal unifying model
- Locomotion-induced gain of visual responses cannot explain visuomotor mismatch responses in layer 2/3 of primary visual cortex
- Dual counterstream architecture may support separation between vision and predictions.
- Testable or bust: theoretical lessons for predictive processing
- The generalized Hierarchical Gaussian Filter
- Hybrid predictive coding: Inferring, fast and slow
- Brain-Inspired Computational Intelligence via Predictive Coding
- How deep is the brain? The shallow brain hypothesis
- Cellular mechanisms of cooperative context-sensitive predictive inference
- Filter competition results in more robust Convolutional Neural Networks
- ‘Backpropagation and the brain’ realized in cortical error neuron microcircuits
- A survey on neuro-mimetic deep learning via predictive coding
- RDoC Framework Through the Lens of Predictive Processing: Focusing on Cognitive System Domain
- The generalized Hierarchical Gaussian Filter
- The generalized Hierarchical Gaussian Filter
- Predictive coding: Neuroscience and art.
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