ReviewCurrent opinion in neurobiology2021
Modulation of the dynamical state in cortical network models.
Review in Current opinion in neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Hemispheric imbalance in mild cognitive impairment: a graph-theoretical analysis of multimodal brain networks.Annals of medicine · 2026Article
- Continuous input drives motor cortical dynamics during reaching.Research square · 2026Article
- Between-area communication through the lens of within-area neuronal dynamics.Science advances · 2024Article
- The mechanics of correlated variability in segregated cortical excitatory subnetworks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The mechanics of correlated variability in segregated cortical excitatory subnetworks.bioRxiv : the preprint server for biology · 2023Article
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1 author.
Funding
Abstract
Cortical neural responses can be modulated by various factors, such as stimulus inputs and the behavior state of the animal. Understanding the circuit mechanisms underlying modulations of network dynamics is important to understand the flexibility of circuit computations. Identifying the dynamical state of a network is an important first step to predict network responses to external stimulus and top-down modulatory inputs. Models in stable or unstable dynamical regimes require different analytic tools to estimate the network responses to inputs and the structure of neural variability. In this article, I review recent cortical models of state-dependent responses and their predictions about the underlying modulatory mechanisms.
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