Shared representations for working memory and mental imagery in early visual cortex
Open accessAbstract
Early visual areas contain specific information about visual items maintained in working memory, suggesting a role for early visual cortex in more complex cognitive functions [1-4]. It is an open question, however, whether these areas also underlie the ability to internally generate images de novo (i.e., mental imagery). Research on mental imagery has to this point focused mostly on whether mental images activate early sensory areas, with mixed results [5-7]. Recent studies suggest that multivariate pattern analysis of neural activity patterns in visual regions can reveal content-specific representations during cognitive processes, even though overall activation levels are low [1-4]. Here, we used this approach [8, 9] to study item-specific activity patterns in early visual areas (V1-V3) when these items are internally generated. We could reliably decode stimulus identity from neural activity patterns in early visual cortex during both working memory and mental imagery. Crucially, these activity patterns resembled those evoked by bottom-up visual stimulation, suggesting that mental images are indeed "perception-like" in nature. These findings suggest that the visual cortex serves as a dynamic "blackboard" [10, 11] that is used during both bottom-up stimulus processing and top-down internal generation of mental content.
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Written from the paper’s full text.
TL;DR
Early visual cortex (V1–V3) contains orientation-specific multivoxel patterns during both visual working memory and mental imagery, and these patterns generalize to those evoked by bottom-up grating perception. This supports a shared, perception-like code in early visual cortex for maintained and internally generated images.
Key findings
- Working memory (WM) decoding of maintained orientation in V1–V3 was above chance: 54% vs 33.3% chance, t(23) = 5.88, p < 1 × 10⁻²⁵, Cohen’s d = 1.21.
- Mental imagery (IM) decoding of internally generated orientation was also above chance: 46%, t(23) = 3.09, p = 0.005, Cohen’s d = 0.63; cross-task decoding was reliable for WM/IM (45%, t(23) = 3.88, p < 1 × 10⁻²³, d = 0.78) and IM/WM (45%, t(23) = 4.13, p < 1 × 10⁻²³, d = 0.83).
- A classifier trained on actual grating perception decoded orientation during WM (46%, t(23) = 4.50, p < 1 × 10⁻²⁴, d = 0.90) and IM (49%, t(23) = 5.92, p < 1 × 10⁻²⁵, d = 1.21), indicating shared bottom-up/top-down activity patterns.
- Time-resolved decoding showed the target could be decoded from 4 s after delay onset in WM but only from 8 s after delay onset in IM; mean neural activity decreased during the delay and was indistinguishable between WM and IM.
Methods
- N = 24 participants performed fMRI tasks with retinotopically defined early visual areas V1, V2, and V3 (360 voxels combined). Participants either maintained a grating in WM or mentally rotated a cued grating and held the generated image for a 10 s delay.
- Multivariate pattern analysis/classifiers were trained on WM, IM, or perceptual localizer data and tested within and across tasks using leave-one-run-out cross-validation, including time-resolved decoding.
- Behavioral data confirmed successful task performance, with increasing reaction times as a function of the amount of mental transformation (Figure S1).
Limitations
- The paper states that generalization between bottom-up and top-down patterns was robust but not perfect, possibly because internally generated images are less robust and more variable due to internal fluctuations in attentional state; it also notes possible attention during the perceptual localizer, though eye movements were considered unlikely because of fixation task and brief 200 ms stimuli.
- The paper states that the exact role and representational content of frontoparietal regions during mental imagery remain to be determined; nonvisual areas did not show reliable stimulus-related information when training on perceptual input (chance-level generalization, all p > 0.05).
- Evident from the text: decoding accuracies were modest (46–54% vs 33.3% chance) and based on a small set of three orientations; the fMRI decoding design is correlational and cannot establish a causal role for V1–V3, and the mental rotation task may recruit attention/executive processes not fully separated from imagery.
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Claims the paper makes
0 of 14 cited sources checked · 0 supported · 0 flagged
- Findingown data
Early visual cortex (V1-V3) contains information about maintained content during working memory.
“We found that early visual cortex (V1-V3) indeed contained information about maintained content [WM: decoding accuracy 54%, chance level 33.3%: t(23) = 5.88, p < 1 3 10 25 ] in the period 8-12 s after onset of maintenance).”
- Also stated in: § Discussion · hedged
“We found that activity patterns in early visual areas (V1-V3) could reliably predict which of three oriented gratings was either held in working memory or mentally imagined, even though overall levels of neural activity were low.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · hedged
- Findingown data
A classifier trained on actual perception of gratings can discriminate orientation from early visual cortex activity patterns during working memory trials.
“This ''perceptual'' classifier could also reliably discriminate between activity patterns in early visual cortex evoked by the different orientations during both WM trials [decoding accuracy 46%, t(23) = 4.50, p < 1 3 10 24 , Cohen's d = 0.90] and IM trials [decoding accuracy 49%, t(23) = 5.92 p < 1 3 10 25 , Cohen's d = 1.21].”
Quote in the paperSubstantial claim - Findingown data
A classifier trained on actual perception of gratings can discriminate orientation from early visual cortex activity patterns during mental imagery trials.
“This ''perceptual'' classifier could also reliably discriminate between activity patterns in early visual cortex evoked by the different orientations during both WM trials [decoding accuracy 46%, t(23) = 4.50, p < 1 3 10 24 , Cohen's d = 0.90] and IM trials [decoding accuracy 49%, t(23) = 5.92 p < 1 3 10 25 , Cohen's d = 1.21].”
Quote in the paperSubstantial claim - Findingown data
Early visual cortex (V1-V3) contains information about internally generated images during mental imagery.
“Indeed, early visual cortex also contained information about internally generated images [IM: decoding accuracy 46%, t( 23 S1; all accuracies > 39%, all p < 0.007).”
- Also stated in: § Discussion · hedged
“We found that activity patterns in early visual areas (V1-V3) could reliably predict which of three oriented gratings was either held in working memory or mentally imagined, even though overall levels of neural activity were low.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · hedged
- Findingown data
During mental imagery trials, shortly after stimulus presentation, the cued starting grating was predominantly selected by the classifier.
“Again, shortly after this, the cued (i.e., starting orientation that had to be mentally rotated) grating was predominantly selected by the classifier.”
Quote in the paperSubstantial claim
- Findingown data
Decoding accuracy was higher for people who could more accurately form mental images during both working memory and mental imagery tasks.
“Interestingly, decoding accuracy was higher for people who could more accurately form mental images during both tasks (WM: r = 20.51,p = 0.0053; IM: r = 20.37,p = 0.039; Figure S2), providing a strong link between mental imagery ability and the precision of population-level responses [21,22].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [21] Emrich, 2013, Distributed patterns of activity in sensory cortex reflect the precision of multiple items maintained in visual short-term memory, J. Neurosci. source
Not checked in the free run.
- cites [22] Ester, 2013, A neural measure of precision in visual working memory, J. Cogn. Neurosci. source
Not checked in the free run.
- Findingown data
During mental imagery trials, initial visual cortical activity patterns after stimulus presentation reflected the two presented gratings, but not the unpresented grating.
“Similarly, during IM trials, initial visual cortical activity patterns after stimulus presentation reflected the two presented gratings, but not the unpresented grating (Figures 2B and 2C).”
Quote in the paperSubstantial claim - Findingown data
Several areas outside visual cortex showed a robust and sustained neural activity increase during the delay period of both mental imagery and working memory trials, including bilateral parietal and prefrontal cortex, as well as pre-supplementary motor area.
“Although early sensory areas did not show robust delayrelated activity, there were several other areas outside visual cortex that showed a robust and sustained neural activity increase during the delay period of both IM and WM trials (Figure S3; Table S2), including bilateral parietal and prefrontal cortex, as well as the pre-supplementary motor area.”
Quote in the paperNot a substantial claim - Findingcitation
We and others did not find reliable encoding of stimulus-related information in nonvisual areas (prefrontal and parietal cortex) when training on perceptual input.
“Although we observed strong increases in activity in a specific set of regions in prefrontal and parietal cortex [28], we and others [3] did not find reliable encoding of stimulus-related information in these areas when training on perceptual input.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Riggall, 2012, The relationship between working memory storage and elevated activity as measured with functional magnetic resonance imaging, J. Neurosci. source
Not checked in the free run.
- Findingown data
During mental imagery trials, there was a gradual shift from representation of the cued starting grating toward representation of the internally generated target grating.
“Crucially, however, there was a gradual shift from a representation of the cued (starting) grating toward a representation of the internally generated target grating.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Eye movements are unlikely to have contributed to the decoding of imagined orientations.
“The current task design makes it unlikely that eye movements contributed to the decoding of imagined orientations.First, we trained the classifier on the independent localizer, during which participants had to perform a task at fixation.Second, the stimulus gratings were presented very briefly (200 ms), too short for systematic eye movement preparation and execution.Additionally, the relevant grat”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Harrison, 2009, Decoding reveals the contents of visual working memory in early visual areas, Nature source
Not checked in the free run.
- Interpretationown data
Early visual areas may serve as a dynamic ''blackboard'' that supports information processing during both bottom-up and top-down processes.
“These findings provide empirical support for the notion that visual cortex acts as a blackboard that is used during both bottom-up stimulus processing and top-down internal generation of mental content.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] Bullier, 2001, Feedback connections and conscious vision, Trends Cogn. Sci. source
Not checked in the free run.
- cites [23] Moro, 2010, Neuronal activity in the visual cortex reveals the temporal order of cognitive operations, J. Neurosci. source
Not checked in the free run.
- cites [26] Lee, 2003, Hierarchical Bayesian inference in the visual cortex, J. Opt. Soc. Am. A Opt. Image Sci. Vis. source
Not checked in the free run.
- Interpretationown data
The patterns suggest that participants mentally transformed the image early in the trial, rather than at the time of the probe.
“The patterns in Figures 2 and 3 suggest that participants mentally transformed the image early in the trial, rather than at the time of the probe.”
Quote in the paperSubstantial claim - Interpretationcitation
Frontoparietal regions create flexible stimulus representations that are in line with behavioral goals.
“Together, these results suggest complementary roles for early visual cortex and frontoparietal regions [30][31][32], whereby frontoparietal regions create flexible stimulus representations that are in line with behavioral goals [3,33].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] Riggall, 2012, The relationship between working memory storage and elevated activity as measured with functional magnetic resonance imaging, J. Neurosci. source
Not checked in the free run.
- cites [33] Çukur, 2013, Attention during natural vision warps semantic representation across the human brain, Nat. Neurosci. source
Not checked in the free run.
- May combine two claims. 13
May combine two claims.
Findingown dataActivity patterns for working memory and mental imagery trials were highly similar, as shown by reliable cross-decoding in both directions.
“Moreover, activity patterns for WM and IM trials were highly similar: when training the multivariate pattern classifier on the delay period during WM and testing on the delay period during IM, we found equally reliable pattern information [WM/IM decoding accuracy 45%, t(23) = 3.88, p < 1 3 10 23 , Cohen's d = 0.78].”
- Also stated in: § Supplemental Information · plain
“Training on IM and testing on WM also resulted in reliable classification [IM/WM decoding accuracy 45%, t(23) = 4.13, p < 1 3 10 23 , Cohen's d = 0.83].”
- Also stated in: § Discussion · plain
“In conclusion, we observed analogous sensory representations during visual working memory and mental imagery in early visual cortex.”
Quote in the paperSubstantial claim- Also stated in: § Supplemental Information · plain
May combine two claims.
Findingown dataSome regions within the frontoparietal network, notably left parietal cortex and supplementary motor area, showed some evidence of stimulus information when training and testing within the main experiment, but generalization from the perceptual classifier to the main task resulted in chance-level performance.
“Interestingly, although some of these regions within this network (notably the left parietal cortex and supplementary motor area) showed some evidence of stimulus information when training and testing within the main experiment (Table S2), generalization from the perceptual classifier to the main task resulted in chance-level performance (all p > 0.05).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationOverall neural activity levels appeared low during mental imagery and working memory, even though patterns in early visual cortex carried stimulus information during this period.
“It may seem surprising that overall neural activity levels appeared low during mental imagery and working memory, even though the patterns in early visual cortex carried stimulus information during this period.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDuring working memory, the target could be decoded as early as 4 s after delay-period onset, whereas during mental imagery the target could only be decoded from 8 s after delay-period onset.
“During WM, the target could be decoded as early as 4 s after delay-period onset, whereas during IM the target could only be decoded from 8 s after delay-period onset.”
- Also stated in: § Supplemental Information · plain
“Decoding was significant from 4 to 16 s for WM trials and from 8 to 16 s for IM trials (all p < 0.001).”
Quote in the paperSubstantial claim- Also stated in: § Supplemental Information · plain
May combine two claims.
FindingreasoningGeneralization from stimulus-driven activity patterns to mental imagery-induced activity patterns in early visual cortex was robust but not perfect.
“It should be noted here that generalization was robust but not perfect, which may be due to the fact that internally generated images can lead to less robust and more variable activation patterns than bottom-up visual stimulation, due to internal fluctuations in attentional state.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe internally generated target grating was not physically presented on that trial but was mentally created by participants and after several seconds became the preferred orientation of the classifier.
“This target grating was not physically presented on that trial but was mentally created by the participants and after several seconds became the preferred orientation of the classifier.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDuring working memory trials, after stimulus presentation, visual cortical activity patterns initially reflected a combination of the two presented gratings, and subsequently the cued grating was predominantly selected by the classifier.
“During WM trials, the classifier was initially at chance, selecting each option approximately one-third of the time.After stimulus presentation, visual cortical (V1-V3) activity patterns reflected a combination of the two presented gratings.Subsequently, the cued (i.e., to be remembered) grating was predominantly selected by the classifier (Figure 2A).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataActivity patterns during mental imagery resemble those elicited by physically presented stimuli, suggesting analogous neural codes for internally generated mental images and stimulus representations.
“Crucially, by training on patterns of activity during physical presentation of gratings, we show that activity patterns during mental imagery resemble those elicited by physically presented stimuli, suggesting analogous neural codes for internally generated mental images and stimulus representations.”
- Also stated in: § Abstract · hedged
“Crucially, these activity patterns resembled those evoked by bottomup visual stimulation, suggesting that mental images are indeed ''perception-like'' in nature.”
Quote in the paperSubstantial claim- Also stated in: § Abstract · hedged
May combine two claims.
InterpretationreasoningThe delay in mental imagery target decoding likely reflects a combination of factors: selecting the cued grating, retrieving the task cue, and performing mental rotation.
“This delay likely reflects a combination of factors.During imagery trials, participants had to not only select the cued grating but also retrieve the task cue, which instructed them about the direction and extent of mental rotation.They subsequently had to perform the mental rotation, with each of these steps contributing to the delay in the formation of the internally generated target image.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThere are three sequential stages of representation in early visual cortex during mental imagery: first, physically presented stimuli are represented; second, one of the presented stimuli is selected for transformation; third, a new representation is formed in early visual cortex.
“This suggests three sequential stages of representation in early visual cortex during the mental imagery process: first, the physically presented stimuli are represented; second, one of the presented stimuli is selected for transformation; and third, a new representation is formed in early visual cortex.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationOne reason for low overall activity may be that visual areas exhibit high spontaneous activity during rest, whose functional significance may be similar to mental imagery.
“One reason for this may be that visual areas also exhibit an overall high level of spontaneous activity during rest [34], the functional significance of which may be quite similar to mental imagery [35].”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationThe idea that mental imagery plays a functional role in facilitating future perception is supported by a recent study that found that mental imagery biases subsequent perception in a binocular rivalry task, as well as by the correlation between mental imagery performance and representational precision.
“The idea that mental imagery plays a functional role in facilitating future perception is supported by a recent study that found that mental imagery biases subsequent perception in a binocular rivalry task [35,38], as well as by the correlation between IM performance and representational precision (Figure S2).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Interpretationown dataMental imagery partly depends on the same mechanisms as visual perception, in line with depictive accounts of mental representations.
“By showing that there is content-specific overlap of activation patterns during mental imagery and bottom-up visual stimulation in primary visual cortex, we show that mental imagery partly depends on the same mechanisms as visual perception, in line with depictive accounts of mental representations [20].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] Lee, 2012, Disentangling visual imagery and perception of real-world objects, Neuroimage source
Not checked in the free run.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Imagery can be decoded from early visual areas.
“studies using techniques to decode brain activity suggest that imagery can be decoded from early visual areas”
From Aphantasia and hyperphantasia: exploring imagery vividness extremes (2024) · cites this paper as [12]
Activity patterns in nonstimulated parts of early visual cortex contain content-specific information from the surrounding visual context, from objects presented in the periphery, and from visual stimuli solely held in working memory rather than being actively perceived.
“For example, activity patterns in nonstimulated parts of early visual cortex contain content-specific information from the surrounding visual context [31, 32], from objects presented in the periphery [33], and from visual stimuli solely held in working memory rather than being actively perceived [34, 35].”
From Decoding sound and imagery content in early visual cortex (2014) · cites this paper as [35]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
The third grating orientation is listed as both 135° and 115°
MinorThe Results list the three possible orientations as 15, 75, and 135, but the experimental-design description lists 15, 75, and 115.
“three possibilities: 15 , 75 , 135”
“three possible stimuli: 15 , 75 , or 115”
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Vividness of Visual Imagery Depends on the Neural Overlap with Perception in Visual Areas
Dijkstra, N., Bosch, S. E., & van Gerven, M. A. J. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3022-16.2016 · Cited by 315 · see citing works
Should a Few Null Findings Falsify Prefrontal Theories of Conscious Perception?
Odegaard, B., Knight, R. T., & Lau, H. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3217-16.2017 · Cited by 316 · see citing works
A neural measure of precision in visual working memory
Ester, E. F., Anderson, D. E., Serences, J. T., & Awh, E. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00357 · Cited by 207 · see citing works
Shape Perception Simultaneously Up- and Downregulates Neural Activity in the Primary Visual Cortex
Kok, P., & de Lange, F. P. (2014) · Current Biology · doi:10.1016/j.cub.2014.05.042 · Cited by 163 · see citing works
Self-citationTime-compressed preplay of anticipated events in human primary visual cortex
Ekman, M., Kok, P., & de Lange, F. P. (2017) · Nature Communications · doi:10.1038/ncomms15276 · Cited by 191 · see citing works
Self-citationReinstatement of associative memories in early visual cortex is signaled by the hippocampus
Bosch, S. E., Jehee, J. F. M., Fernández, G., & Doeller, C. F. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.0805-14.2014 · Cited by 157 · see citing works
Laminar fMRI: applications for cognitive neuroscience
Lawrence, S. J. D., Formisano, E., Muckli, L., & de Lange, F. P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.004 · Cited by 186 · see citing works
Phantom perception: voluntary and involuntary nonretinal vision
Pearson, J., & Westbrook, F. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.03.004 · Cited by 161 · see citing works
Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance
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The neural correlates of visual imagery: A co-ordinate-based meta-analysis
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Aphantasia and hyperphantasia: exploring imagery vividness extremes
Zeman, A. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.02.007 · Cited by 148 · see citing works
“Differencesinneuralconnectivitymayex-plain the existence of these extremes of imagery. imagery can be decoded from early visual areas [12,13], while the clinical literature questions the role of this activity in the experience and functionality of imagery [14].”
BackgroundSubjective signal strength distinguishes reality from imagination
Dijkstra, N., & Fleming, S. M. (2023) · Nature Communications · doi:10.1038/s41467-023-37322-1 · Cited by 115 · see citing works
Why do imagery and perception look and feel so different?
Koenig-Robert, R., & Pearson, J. (2021) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0703 · Cited by 104 · see citing works
Predictive Coding in Sensory Cortex
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Self-citationTowards a Unified View on Pathways and Functions of Neural Recurrent Processing
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“In another example of abstract prediction projected to V1, the instruction to imagine a sound of birds [115] leads to categorical activation in V1 [78,116] not necessarily related to a concrete visual instance of a bird.”
Cortical excitability controls the strength of mental imagery
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Redefining Visual Working Memory: A Cognitive-Strategy, Brain-Region Approach
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Neural dynamics of perceptual inference and its reversal during imagery
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Contributions of cortical feedback to sensory processing in primary visual cortex
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Tasks and their role in visual neuroscience
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Expectation Suppression in Early Visual Cortex Depends on Task Set
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Self-citationFrom remembering to reconstruction: The transformative neural representation of episodic memory.
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Exceptional visuospatial imagery in schizophrenia; implications for madness and creativity
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- Authors
- Albers, A. M., Kok, P., Toni, I., Dijkerman, H. C., & de Lange, F. P.
- Affiliations
- Radboud University Nijmegen (NL)
- Utrecht University (NL)
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 23
- Issue
- 15
- Pages
- 1427-1431
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W1969387624
- Cited by
- 528
- References
- 38
- Citations by year
- 2026: 34 · 2025: 47 · 2024: 72 · 2023: 55 · 2022: 38 · 2021: 56 · 2020: 39 · 2019: 37 · 2018: 31 · 2017: 34 · 2016: 28 · 2015: 29 · 2014: 23 · 2013: 4
- FWCI
- 15.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- working memory, mental imagery, early visual cortex, multivariate pattern analysis, shared representations
- MeSH terms
- Humans, Imagination, Functional Laterality, Magnetic Resonance Imaging, Memory, Short-Term, Photic Stimulation, Reaction Time, Visual Cortex, Visual Perception, Multivariate Analysis, Nontherapeutic Human Experimentation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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