ReviewAnnals of the New York Academy of Sciences2020
Evaluating the neurophysiological evidence for predictive processing as a model of perception.
Review in Annals of the New York Academy of Sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 1 of them a synthesis that pooled it.
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
126 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comprehensive investigation of predictive processing: A cross- and within-cognitive domains fMRI meta-analytic approach.Human brain mapping · 2024Pooled it
- Heartbeat-evoked neural response abnormalities in generalized anxiety disorder during peripheral adrenergic stimulation.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Trial
- An event-related potentials account of brain predictive coding.Cognitive neurodynamics · 2026Review
- Predictive processing in time perception: Assessing prediction error minimization in the sub-second range.Cognitive, affective & behavioral neuroscience · 2026Article
- The Contextual Resonance Theory of Psychopathology: A Cognitive-Systemic Framework for Transgenerational Trauma, Distributed Pathology, and Corrective Recontextualization.Behavioral sciences (Basel, Switzerland) · 2026Article
- Perceiving the uncertain: predictive coding and individual differences in the dynamics of multistable perception.Cognitive processing · 2026Review
- The primate claustrum as a hub for precision weighting of prediction errors across the cortical hierarchy.PLoS biology · 2026Article
- Synaptic Plasticity as a Function of the Temporal Derivative.bioRxiv : the preprint server for biology · 2026Article
- During natural vision, semantic novelty modulates fixation-related processing in primate cortex.bioRxiv : the preprint server for biology · 2026Article
- Presence Is Reality: Rethinking Virtual and Real-World Consciousness.Perspectives on psychological science : a journal of the Association for Psychological Science · 2026Article
- Algorithmic Habituation: A Neurocognitive and Systems-Based Framework for Human-AI Co-Adaptation.Brain sciences · 2026Article
- Active inference and speech motor control.Psychonomic bulletin & review · 2026Review
- 'Backpropagation and the brain' realized in cortical error neuron microcircuits.PLoS computational biology · 2026Article
- Effort expectation and strategic cue use in visual search.Cognitive, affective & behavioral neuroscience · 2026Article
- Effects of Expectation, Attention, and NMDA Receptor Blockade on Feedforward and Feedback Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Determinants of visual ambiguity resolution.Communications psychology · 2026Article
- Desegregation of neuronal predictive processing.Nature communications · 2026Article
- Article
- The Ventral Attention Network Mediates Attentional Reorienting to Cross-Modal Expectancy Violations: Evidence from EEG and fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Expectation Effects Based on Newly Learnt Object-Scene Associations Are Modulated by Spatial Frequency.Psychophysiology · 2026Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For many years, the dominant theoretical framework guiding research into the neural origins of perceptual experience has been provided by hierarchical feedforward models, in which sensory inputs are passed through a series of increasingly complex feature detectors. However, the long-standing orthodoxy of these accounts has recently been challenged by a radically different set of theories that contend that perception arises from a purely inferential process supported by two distinct classes of neurons: those that transmit predictions about sensory states and those that signal sensory information that deviates from those predictions. Although these predictive processing (PP) models have become increasingly influential in cognitive neuroscience, they are also criticized for lacking the empirical support to justify their status. This limited evidence base partly reflects the considerable methodological challenges that are presented when trying to test the unique predictions of these models. However, a confluence of technological and theoretical advances has prompted a recent surge in human and nonhuman neurophysiological research seeking to fill this empirical gap. Here, we will review this new research and evaluate the degree to which its findings support the key claims of PP.
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.