ReviewTrends in cognitive sciences2020
Discovering the Computational Relevance of Brain Network Organization.
Review in Trends in cognitive sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of global signal topography in aging, neuropsychiatric disorders, and cognitive task performance.Brain imaging and behavior · 2026Pooled it
- Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differences.bioRxiv : the preprint server for biology · 2026Article
- Distributed cortical network dynamics of binocular convergent eye movements in humans.Network neuroscience (Cambridge, Mass.) · 2026Article
- Habit learning is associated with efficiently controlled network dynamics in naive macaque monkeys.Npj complexity · 2026Article
- Dynamically shifting from compositional to conjunctive brain representations supports cognitive task learning.Nature communications · 2025Article
- Dynamic mapping of network-level LTP in the hippocampus via high-resolution bioelectrical sensing.APL bioengineering · 2025Article
- Computational Generation of Long-range Axonal Morphologies.Neuroinformatics · 2025Article
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- A corollary discharge circuit in human speech.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Distributed network flows generate localized category selectivity in human visual cortex.PLoS computational biology · 2024Article
- The Profile of Network Spontaneous Activity and Functional Organization Interplay in Hierarchically Connected Modular Neural Networks In Vitro.Micromachines · 2024Article
- Co-representation of Functional Brain Networks Is Shaped by Cortical Myeloarchitecture and Reveals Individual Behavioral Ability.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations.NeuroImage · 2023Article
- Explainable fMRI-based brain decoding via spatial temporal-pyramid graph convolutional network.Human brain mapping · 2023Article
- Decoding six basic emotions from brain functional connectivity patterns.Science China. Life sciences · 2023Article
- Understanding mental health through computers: An introduction to computational psychiatry.Frontiers in psychiatry · 2023Review
- EEG-Based Mapping of Resting-State Functional Brain Networks in Patients with Parkinson's Disease.Biomimetics (Basel, Switzerland) · 2022Article
- Network modeling of dynamic brain interactions predicts emergence of neural information that supports human cognitive behavior.PLoS biology · 2022Article
- Forecasting brain activity based on models of spatiotemporal brain dynamics: A comparison of graph neural network architectures.Network neuroscience (Cambridge, Mass.) · 2022Article
- Controlling for Spurious Nonlinear Dependence in Connectivity Analyses.Neuroinformatics · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Understanding neurocognitive computations will require not just localizing cognitive information distributed throughout the brain but also determining how that information got there. We review recent advances in linking empirical and simulated brain network organization with cognitive information processing. Building on these advances, we offer a new framework for understanding the role of connectivity in cognition: network coding (encoding/decoding) models. These models utilize connectivity to specify the transfer of information via neural activity flow processes, successfully predicting the formation of cognitive representations in empirical neural data. The success of these models supports the possibility that localized neural functions mechanistically emerge (are computed) from distributed activity flow processes that are specified primarily by connectivity patterns.
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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.