ArticleJournal of cognitive neuroscience2020
A Computational Role for Top-Down Modulation from Frontal Cortex in Infancy.
Article in Journal of cognitive neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 18 citations in OpenAlex.
- Evidence of Top-Down Sensory Prediction in Neonates Within 2 Days of Birth.Developmental science · 2026Article
- Divergent representation and processing of task cues in sensory and prefrontal cortices of preterm-born mice.Nature communications · 2026Article
- Visual Perception Is Highly Flexible and Context Dependent in Young Infants: A Case of Top-Down-Modulated Motion Perception.Psychological science · 2023Article
- Investigating predictive coding in younger and older children using MEG and a multi-feature auditory oddball paradigm.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Using functional near-infrared spectroscopy to study the early developing brain: future directions and new challenges.Neurophotonics · 2023Article
- Anticipation across modalities in children and adults: Relating anticipatory alpha rhythm lateralization, reaction time, and executive function.Developmental science · 2023Article
- A Computational Model of the Brain Cortex and Its Synchronization.BioMed research international · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Recent findings have shown that full-term infants engage in top-down sensory prediction, and these predictions are impaired as a result of premature birth. Here, we use an associative learning model to uncover the neuroanatomical origins and computational nature of this top-down signal. Infants were exposed to a probabilistic audiovisual association. We find that both groups (full term, preterm) have a comparable stimulus-related response in sensory and frontal lobes and track prediction error in their frontal lobes. However, preterm infants differ from their full-term peers in weaker tracking of prediction error in sensory regions. We infer that top-down signals from the frontal lobe to the sensory regions carry information about prediction error. Using computational learning models and comparing neuroimaging results from full-term and preterm infants, we have uncovered the computational content of top-down signals in young infants when they are engaged in a probabilistic associative learning.
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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.