ArticleCerebral cortex communications2021
The N300: An Index for Predictive Coding of Complex Visual Objects and Scenes.
Article in Cerebral cortex communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 43 citations in OpenAlex.
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- Disrupted visual-to-semantic dynamics promote visual hallucinations in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Less is more: Aesthetic liking is inversely related to metabolic expense by the visual system.PNAS nexus · 2025Article
- Neural oscillations and top-down connectivity are modulated by object-scene congruency.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Behavioral and neural evidence for perceptual predictions in social interactions.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Semantic object processing is modulated by prior scene context.Language, cognition and neuroscience · 2024Article
- Multiple mechanisms of visual prediction as revealed by the timecourse of scene-object facilitation.Psychophysiology · 2024Article
- Image memorability is linked to facilitated perceptual and semantic processing.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Blink-related EEG activity measures cognitive load during proactive and reactive driving.Scientific reports · 2023Article
- Event-Related Potentials Index Prediction Error Signalling During Perceptual Processing of Emotional Facial Expressions.Brain topography · 2023Article
- Recognition Mechanism of Dangerous Goods Marks: Evidence from an Event-Related Potential Study.International journal of environmental research and public health · 2023Article
- Spatiotemporal phase slip patterns for visual evoked potentials, covert object naming tasks, and insight moments extracted from 256 channel EEG recordings.Frontiers in integrative neuroscience · 2023Article
- Cinematographic continuity edits across shot scales and camera angles: an ERP analysis.Frontiers in neuroscience · 2023Article
- The role of contextual materials in object recognition.Scientific reports · 2021Article
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Authors and funding
3 authors at 2 institutions in 1 country.
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Abstract
Predictive coding models can simulate known perceptual or neuronal phenomena, but there have been fewer attempts to identify a reliable neural signature of predictive coding for complex stimuli. In a pair of studies, we test whether the N300 component of the event-related potential, occurring 250-350-ms poststimulus-onset, has the response properties expected for such a signature of perceptual hypothesis testing at the level of whole objects and scenes. We show that N300 amplitudes are smaller to representative ("good exemplars") compared with less representative ("bad exemplars") items from natural scene categories. Integrating these results with patterns observed for objects, we establish that, across a variety of visual stimuli, the N300 is responsive to statistical regularity, or the degree to which the input is "expected" (either explicitly or implicitly) based on prior knowledge, with statistically regular images evoking a reduced response. Moreover, we show that the measure exhibits context-dependency; that is, we find the N300 sensitivity to category representativeness when stimuli are congruent with, but not when they are incongruent with, a category pre-cue. Thus, we argue that the N300 is the best candidate to date for an index of perceptual hypotheses testing for complex visual objects and scenes.
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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.