ReviewPhysiological reviews2003
Interactions between membrane conductances underlying thalamocortical slow-wave oscillations.
Review in Physiological reviews, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 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
100 citing papers in PubMed, 235 citations in OpenAlex.
- Trial
- Trial
- Sleep improves the variability of motor performance.Brain research bulletin · 2008Trial
- Intracellular neuronal recordings across DNA tiles.Nature nanotechnology · 2026Article
- Intrinsic space-time couplings governing multi-scale cortical dynamics.bioRxiv : the preprint server for biology · 2026Article
- Data-driven mouse motor thalamus model reveals topography and spatial weight scaling govern spindle dynamics.Communications biology · 2026Article
- Microglia Modulate Information Processing in the Mouse Barrel Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- GABABrain communications · 2026Article
- A shared central thalamus mechanism underlying diverse recoveries in disorders of consciousness.Nature communications · 2025Article
- Impaired thalamic burst firing in fragile X syndrome.Cell reports · 2025Article
- Targeting Neural Oscillations for Cognitive Enhancement in Alzheimer's Disease.Medicina (Kaunas, Lithuania) · 2025Review
- Thalamic spindles and Up states coordinate cortical and hippocampal co-ripples in humans.PLoS biology · 2024Article
- Adult neurogenesis in the hippocampal dentate gyrus affects sparsely synchronized rhythms, associated with pattern separation and integration.Cognitive neurodynamics · 2024Article
- Two contrasting mediodorsal thalamic circuits target the mouse medial prefrontal cortex.Journal of neurophysiology · 2024Article
- The role of the nucleus basalis of Meynert in neuromodulation therapy: a systematic review from the perspective of neural network oscillations.Frontiers in aging neuroscience · 2024Review
- Canonical circuit computations for computer vision.Biological cybernetics · 2023Review
- High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task.Journal of neurophysiology · 2023Article
- Rapid thalamocortical network switching mediated by cortical synchronization underlies propofol-induced EEG signatures: a biophysical model.Journal of neurophysiology · 2023Article
- Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets.Journal of computational neuroscience · 2023Article
- Sedative Properties of Dexmedetomidine Are Mediated Independently from Native Thalamic Hyperpolarization-Activated Cyclic Nucleotide-Gated Channel Function at Clinically Relevant Concentrations.International journal of molecular sciences · 2022Article
40 more citing papers are in PubMed but not listed here.
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 at 1 institution in 1 country.
Funding
Abstract
Neurons of the central nervous system display a broad spectrum of intrinsic electrophysiological properties that are absent in the traditional "integrate-and-fire" model. A network of neurons with these properties interacting through synaptic receptors with many time scales can produce complex patterns of activity that cannot be intuitively predicted. Computational methods, tightly linked to experimental data, provide insights into the dynamics of neural networks. We review this approach for the case of bursting neurons of the thalamus, with a focus on thalamic and thalamocortical slow-wave oscillations. At the single-cell level, intrinsic bursting or oscillations can be explained by interactions between calcium- and voltage-dependent channels. At the network level, the genesis of oscillations, their initiation, propagation, termination, and large-scale synchrony can be explained by interactions between neurons with a variety of intrinsic cellular properties through different types of synaptic receptors. These interactions can be altered by neuromodulators, which can dramatically shift the large-scale behavior of the network, and can also be disrupted in many ways, resulting in pathological patterns of activity, such as seizures. We suggest a coherent framework that accounts for a large body of experimental data at the ion-channel, single-cell, and network levels. This framework suggests physiological roles for the highly synchronized oscillations of slow-wave sleep.
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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.