ArticleNature communications2022
Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 62 citations in OpenAlex.
- Frontoparietal Hub Connectivity Integrates Information from Multiple Sources.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease.Nature communications · 2026Article
- Cerebrovascular Imaging-to-Graph Reconstruction for Individualized Digital Twin Brains.bioRxiv : the preprint server for biology · 2026Article
- Task context is broadly encoded in the human brain.bioRxiv : the preprint server for biology · 2026Article
- Frontoparietal Hub Connectivity Integrates Information from Multiple Sources.bioRxiv : the preprint server for biology · 2026Article
- Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia.NPJ systems biology and applications · 2026Article
- Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differences.bioRxiv : the preprint server for biology · 2026Article
- Innovative 3D photosynthetic trait assessment of slash pine using drone-LiDAR fusion and machine learning algorithms.Plant phenomics (Washington, D.C.) · 2026Article
- Dynamically shifting from compositional to conjunctive brain representations supports cognitive task learning.Nature communications · 2025Article
- Encoding of interdependent features of head direction and angular head velocity in navigation.PNAS nexus · 2025Article
- Practice reshapes the geometry and dynamics of task-tailored representations.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Impaired brain ability of older adults to transit and persist to latent states with well-organized structures at wakeful rest.GeroScience · 2025Article
- Exploring the transmission of cognitive task information through optimal brain pathways.PLoS computational biology · 2025Article
- Task demands shape network interactions during reading and visual form processing.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Graph models of brain state in deep anesthesia reveal sink state dynamics of reduced spatiotemporal complexity.Network neuroscience (Cambridge, Mass.) · 2025Article
- Scaling up from sentience: modularity, conscious broadcast, and a constitutive solution to the combination problem.Frontiers in psychology · 2025Article
- Predicting task-related brain activity from resting-state brain dynamics with fMRI Transformer.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A transient high-dimensional geometry affords stable conjunctive subspaces for efficient action selection.Nature communications · 2024Article
- Rapid context inference in a thalamocortical model using recurrent neural networks.Nature communications · 2024Article
- Practice Reshapes the Geometry and Dynamics of Task-tailored Representations.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
The human ability to adaptively implement a wide variety of tasks is thought to emerge from the dynamic transformation of cognitive information. We hypothesized that these transformations are implemented via conjunctive activations in "conjunction hubs"-brain regions that selectively integrate sensory, cognitive, and motor activations. We used recent advances in using functional connectivity to map the flow of activity between brain regions to construct a task-performing neural network model from fMRI data during a cognitive control task. We verified the importance of conjunction hubs in cognitive computations by simulating neural activity flow over this empirically-estimated functional connectivity model. These empirically-specified simulations produced above-chance task performance (motor responses) by integrating sensory and task rule activations in conjunction hubs. These findings reveal the role of conjunction hubs in supporting flexible cognitive computations, while demonstrating the feasibility of using empirically-estimated neural network models to gain insight into cognitive computations in the human brain.
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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.