Visual Imagery and Perception Share Neural Representations in the Alpha Frequency Band
Open accessAbstract
To behave adaptively with sufficient flexibility, biological organisms must cognize beyond immediate reaction to a physically present stimulus. For this, humans use visual mental imagery [1, 2], the ability to conjure up a vivid internal experience from memory that stands in for the percept of the stimulus. Visually imagined contents subjectively mimic perceived contents, suggesting that imagery and perception share common neural mechanisms. Using multivariate pattern analysis on human electroencephalography (EEG) data, we compared the oscillatory time courses of mental imagery and perception of objects. We found that representations shared between imagery and perception emerged specifically in the alpha frequency band. These representations were present in posterior, but not anterior, electrodes, suggesting an origin in parieto-occipital cortex. Comparison of the shared representations to computational models using representational similarity analysis revealed a relationship to later layers of deep neural networks trained on object representations, but not auditory or semantic models, suggesting representations of complex visual features as the basis of commonality. Together, our results identify and characterize alpha oscillations as a cortical signature of representations shared between visual mental imagery and perception.
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The stimulus specificity supports the view that oscillations can be modulated in a representationally specific way, rather than only in a nonspecific way across wide areas of cortex.
“This supports the view that oscillations can be modulated in a representationally specific way (64), rather than only in a nonspecific way across wide areas of cortex.”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [64]
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References 89 · Cited by 139
Research works printed but not linked: 1
- [71]Xu Y. Vaziri-Pashkam M. Limited correspondence in visual representation between the human brain and convolutional neural networks bioRxiv 2020 10.1101/2020.03.12.989376 · DOI
- Authors
- Xie, S., Kaiser, D., & Cichy, R. M.
- Affiliations
- Freie Universität Berlin (DE)
- University of York (GB)
- Humboldt-Universität zu Berlin (DE)
- Corresponding author
- Xie, Siying
- Cichy, Radoslaw M.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 30
- Issue
- 13
- Pages
- 2621-2627.e5
- ISSN
- 0960-9822 (ISSN-L)
- PMC
- PMC7342016
- OpenAlex
- W3035521319
- Cited by
- 139
- References
- 89
- Citations by year
- 2026: 11 · 2025: 26 · 2024: 37 · 2023: 22 · 2022: 22 · 2021: 15 · 2020: 6
- FWCI
- 8.68
- Type
- journal article
- Language
- en
- Update notices
- erratum (2020-08-03)
- Open access
- hybrid
- doi.org
- Locations
- Current Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Refubium (Universitätsbibliothek der Freien Universität Berlin) (submittedVersion, cc-by)
- Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver (cc-by)
- Funders
- German Research Foundation (CI241/1-1, CI241/3-1, KA4683/2-1)
- European Research Council (803370)
- Chinese Scholarship Council (201706750004)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- visual imagery, visual perception, shared neural representations, alpha oscillations, parieto-occipital cortex, representational similarity, deep neural network, object representation, multivariate pattern analysis
- MeSH terms
- Adult, Electroencephalography, Female, Humans, Imagination, Male, Occipital Lobe, Pattern Recognition, Visual, Young Adult
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