ReviewCurrent opinion in neurobiology2017
Once upon a (slow) time in the land of recurrent neuronal networks….
Review in Current opinion in neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- Neuromorphic hierarchical modular reservoirs.Nature communications · 2026Article
- Interleaving asynchronous and synchronous activity in balanced cortical networks with short term synaptic depression.Nature communications · 2025Article
- Balanced state of networks of winner-take-all units.PLoS computational biology · 2025Article
- Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits.PLoS computational biology · 2024Article
- Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits.bioRxiv : the preprint server for biology · 2024Article
- Low-dimensional criticality embedded in high-dimensional awake brain dynamics.Science advances · 2024Article
- Chaotic dynamics in spatially distributed neuronal networks generate population-wide shared variability.PLoS computational biology · 2023Article
- Review
- Metastable dynamics of neural circuits and networks.Applied physics reviews · 2022Review
- Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making.eLife · 2021Article
- MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity.PloS one · 2021Article
- Article
- Low-dimensional dynamics for working memory and time encoding.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Cortical computations via metastable activity.Current opinion in neurobiology · 2019Review
- Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity.PLoS computational biology · 2019Article
- NREM sleep in the rodent neocortex and hippocampus reflects excitable dynamics.Nature communications · 2019Article
- How single neuron properties shape chaotic dynamics and signal transmission in random neural networks.PLoS computational biology · 2019Article
- Contrasting the effects of adaptation and synaptic filtering on the timescales of dynamics in recurrent networks.PLoS computational biology · 2019Article
- Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements.Frontiers in systems neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The brain must both react quickly to new inputs as well as store a memory of past activity. This requires biology that operates over a vast range of time scales. Fast time scales are determined by the kinetics of synaptic conductances and ionic channels; however, the mechanics of slow time scales are more complicated. In this opinion article we review two distinct network-based mechanisms that impart slow time scales in recurrently coupled neuronal networks. The first is in strongly coupled networks where the time scale of the internally generated fluctuations diverges at the transition between stable and chaotic firing rate activity. The second is in networks with finitely many members where noise-induced transitions between metastable states appear as a slow time scale in the ongoing network firing activity. We discuss these mechanisms with an emphasis on their similarities and differences.
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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.