ArticleNature communications2018
Forward models demonstrate that repetition suppression is best modelled by local neural scaling.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Article
- Stimulus Repetition Induces a Two-Stage Learning Process in the Primary Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- The distinct development of stimulus and response serial dependence.Psychonomic bulletin & review · 2024Article
- Single-neuron mechanisms of neural adaptation in the human temporal lobe.Nature communications · 2023Article
- Improving the validity of neuroimaging decoding tests of invariant and configural neural representation.PLoS computational biology · 2023Article
- A modeling framework for determining modulation of neural-level tuning from non-invasive human fMRI data.Communications biology · 2022Article
- Dampened sensory representations for expected input across the ventral visual stream.Oxford open neuroscience · 2022Article
- Neural tuning and representational geometry.Nature reviews. Neuroscience · 2021Review
- Application of Empirical Mode Decomposition for Decoding Perception of Faces Using Magnetoencephalography.Sensors (Basel, Switzerland) · 2021Article
- Combining Repetition Suppression and Pattern Analysis Provides New Insights into the Role of M1 and Parietal Areas in Skilled Sequential Actions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Limited Evidence for Sensory Prediction Error Responses in Visual Cortex of Macaques and Humans.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Patterns and networks of language control in bilingual language production.Brain structure & function · 2021Article
- Enhanced inter-regional coupling of neural responses and repetition suppression provide separate contributions to long-term behavioral priming.Communications biology · 2021Article
- A Gradient of Sharpening Effects by Perceptual Prior across the Human Cortical Hierarchy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Diverse Temporal Dynamics of Repetition Suppression Revealed by Intracranial Recordings in the Human Ventral Temporal Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Adaptation aftereffects reveal how categorization training changes the encoding of face identity.Journal of vision · 2020Article
- Duration Selectivity in Right Parietal Cortex Reflects the Subjective Experience of Time.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Understanding Image Memorability.Trends in cognitive sciences · 2020Review
- Temporal tuning of repetition suppression across the visual cortex.Journal of neurophysiology · 2020Article
- Suppressed Sensory Response to Predictable Object Stimuli throughout the Ventral Visual Stream.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
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3 authors.
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Abstract
Inferring neural mechanisms from functional magnetic resonance imaging (fMRI) is challenging because the fMRI signal integrates over millions of neurons. One approach is to compare computational models that map neural activity to fMRI responses, to see which best predicts fMRI data. We use this approach to compare four possible neural mechanisms of fMRI adaptation to repeated stimuli (scaling, sharpening, repulsive shifting and attractive shifting), acting across three domains (global, local and remote). Six features of fMRI repetition effects are identified, both univariate and multivariate, from two independent fMRI experiments. After searching over parameter values, only the local scaling model can simultaneously fit all data features from both experiments. Thus fMRI stimulus repetition effects are best captured by down-scaling neuronal tuning curves in proportion to the difference between the stimulus and neuronal preference. These results emphasise the importance of formal modelling for bridging neuronal and fMRI levels of investigation.
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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.