Evidence map›Paper›PMID 41955351›Full record

ArticleScience (New York, N.Y.)2026

A shared code for perceiving and imagining objects in human ventral temporal cortex.

V S Wadia, C M Reed, J M Chung, L M Bateman, A N Mamelak, U Rutishauser, D Y Tsao

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Why do we need imagination-reality monitoring?Neuroscience of consciousness · 2026
    Article
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

V S WadiaDepartment of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID 0009-0009-5401-5367
C M ReedDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID 0000-0002-7157-3645
J M ChungDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID 0000-0002-4989-0994
L M BatemanDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID 0000-0002-4024-1533
A N MamelakDepartment of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID 0000-0002-4245-6431
U Rutishauser *Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID 0000-0002-9207-7069
D Y Tsao *Department of Neuroscience, Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.ORCID 0000-0003-1083-1919

Funding

Neuronal mechanisms of human episodic memoryU01NS117839 · NINDS · CEDARS-SINAI MEDICAL CENTER · PI MAMELAK, ADAM NATHANIEL, RUTISHAUSER, UELI · 2020 to 2024
$7.8M
NINDS NIH HHS U01 NS117839
6 · The paper itself

Abstract

Mental imagery allows us to remember previous experiences and imagine new ones. Animal studies have yielded rich insight into mechanisms for visual perception, but the neural mechanisms for visual imagery remain poorly understood. We determined that approximately 80% of visually responsive single neurons in the human ventral temporal cortex (VTC) use a distributed axis code to represent objects. We used that code to reconstruct objects and generate maximally effective synthetic stimuli. We then recorded responses from the same neural population while subjects imagined specific objects; about 40% of axis-tuned VTC neurons recapitulated the visual code. Our findings reveal that visual imagery is supported by reactivation of the same neurons involved in perception, providing single-neuron evidence for the existence of a generative model in human VTC.

Indexed as

ImaginationNeuronsTemporal LobeVisual PerceptionHumansPhotic Stimulation

Identifiers

PMID41955351
PMCPMC13215098

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.