ArticlePLoS computational biology2020
Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Article
- Decoding visual fatigue in a visual search task selectively manipulated via myopia-correcting lenses.Frontiers in neuroscience · 2024Article
- Widespread, perception-related information in the human brain scales with levels of consciousness.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- A large-scale fMRI dataset for the visual processing of naturalistic scenes.Scientific data · 2023Article
- A large-scale fMRI dataset for human action recognition.Scientific data · 2023Article
- BrainIAK: The Brain Imaging Analysis Kit.Aperture neuro · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The extent to which brain functions are localized or distributed is a foundational question in neuroscience. In the human brain, common fMRI methods such as cluster correction, atlas parcellation, and anatomical searchlight are biased by design toward finding localized representations. Here we introduce the functional searchlight approach as an alternative to anatomical searchlight analysis, the most commonly used exploratory multivariate fMRI technique. Functional searchlight removes any anatomical bias by grouping voxels based only on functional similarity and ignoring anatomical proximity. We report evidence that visual and auditory features from deep neural networks and semantic features from a natural language processing model, as well as object representations, are more widely distributed across the brain than previously acknowledged and that functional searchlight can improve model-based similarity and decoding accuracy. This approach provides a new way to evaluate and constrain computational models with brain activity and pushes our understanding of human brain function further along the spectrum from strict modularity toward distributed representation.
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Registered trials
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