SynthesisNeuropsychologia2016
A meta-analysis of fMRI decoding: Quantifying influences on human visual population codes.
Synthesis in Neuropsychologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed.
- Role of the left intraparietal sulcus in the comprehension of action intensity described in sentences.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Experientially-grounded and distributional semantic vectors uncover dissociable representations of conceptual categories.Language, cognition and neuroscience · 2024Article
- Two distinct networks containing position-tolerant representations of actions in the human brain.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- The Neural Representations of Emotional Experiences Are More Similar Than Those of Neutral Experiences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Image memorability is predicted by discriminability and similarity in different stages of a convolutional neural network.Learning & memory (Cold Spring Harbor, N.Y.) · 2020Article
- Neural Patterns are More Similar across Individuals during Successful Memory Encoding than during Failed Memory Encoding.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Dyadic interaction processing in the posterior temporal cortex.NeuroImage · 2019Article
- Article
- Goal-Directed Visual Processing Differentially Impacts Human Ventral and Dorsal Visual Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Information in the human visual system is encoded in the activity of distributed populations of neurons, which in turn is reflected in functional magnetic resonance imaging (fMRI) data. Over the last fifteen years, activity patterns underlying a variety of perceptual features and objects have been decoded from the brains of participants in fMRI scans. Through a novel multi-study meta-analysis, we have analyzed and modeled relations between decoding strength in the visual ventral stream, and stimulus and methodological variables that differ across studies. We report findings that suggest: (i) several organizational principles of the ventral stream, including a gradient of pattern granulation and an increasing abstraction of neural representations as one proceeds anteriorly; (ii) how methodological choices affect decoding strength. The data also show that studies with stronger decoding performance tend to be reported in higher-impact journals, by authors with a higher h-index. As well as revealing principles of regional processing, our results and approach can help investigators select from the thousands of design and analysis options in an empirical manner, to optimize future studies of fMRI decoding.
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Registered trials
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.