RevieweNeuro
Predictive Coding with Neural Transmission Delays: A Real-Time Temporal Alignment Hypothesis.
Review in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 64 citations in OpenAlex.
- Predictable motion is progressively extrapolated across temporally distinct processing stages in the human visual cortex.PLoS biology · 2025Article
- Relating sparse and predictive coding to divisive normalization.PLoS computational biology · 2025Article
- Sonic Sleight of Hand: Sound Induces Illusory Distortions in the Perception and Prediction of Robot Action.International journal of social robotics · 2025Article
- Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons.PLoS computational biology · 2023Article
- Visual Information Is Predictively Encoded in Occipital Alpha/Low-Beta Oscillations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- How the brain stays in sync with the real world.eLife · 2023Article
- Position representations of moving objects align with real-time position in the early visual response.eLife · 2023Article
- Computational assessment of visual coding across mouse brain areas and behavioural states.Frontiers in computational neuroscience · 2023Article
- Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing.Frontiers in computational neuroscience · 2023Article
- Precise Spiking Motifs in Neurobiological and Neuromorphic Data.Brain sciences · 2022Review
- A quantitative model reveals a frequency ordering of prediction and prediction-error signals in the human brain.Communications biology · 2022Article
- Unraveling the Neural Mechanisms Which Encode Rapid Streams of Visual Input.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Spatio-Temporally Efficient Coding Assigns Functions to Hierarchical Structures of the Visual System.Frontiers in computational neuroscience · 2022Article
- Resolving visual motion through perceptual gaps.Trends in cognitive sciences · 2021Review
- Predictive Visual Motion Extrapolation Emerges Spontaneously and without Supervision at Each Layer of a Hierarchical Neural Network with Spike-Timing-Dependent Plasticity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- A link between synaptic plasticity and reorganization of brain activity in Parkinson's disease.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Motion extrapolation in the High-Phi illusion: Analogous but dissociable effects on perceived position and perceived motion.Journal of vision · 2020Article
- Motion Extrapolation in Visual Processing: Lessons from 25 Years of Flash-Lag Debate.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Review
- A neural network trained for prediction mimics diverse features of biological neurons and perception.Nature machine intelligence · 2020Article
- Predictions drive neural representations of visual events ahead of incoming sensory information.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hierarchical predictive coding is an influential model of cortical organization, in which sequential hierarchical levels are connected by backward connections carrying predictions, as well as forward connections carrying prediction errors. To date, however, predictive coding models have largely neglected to take into account that neural transmission itself takes time. For a time-varying stimulus, such as a moving object, this means that backward predictions become misaligned with new sensory input. We present an extended model implementing both forward and backward extrapolation mechanisms that realigns backward predictions to minimize prediction error. This realignment has the consequence that neural representations across all hierarchical levels become aligned in real time. Using visual motion as an example, we show that the model is neurally plausible, that it is consistent with evidence of extrapolation mechanisms throughout the visual hierarchy, that it predicts several known motion-position illusions in human observers, and that it provides a solution to the temporal binding problem.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.