Evidence map›Paper›PMID 41713414›Full record

ArticleNeuron2026

Neuronal spiking in the mammalian forebrain is dominated by a heterogeneous ground state.

Daniel Levenstein, Jonathan Gornet, Roman Huszár, Gabrielle Girardeau, Andres Grosmark, Adrien Peyrache, Yuta Senzai, Brendon O Watson, Kenji Mizuseki, John Rinzel and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuron, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Daniel LevensteinNeuroscience Institute, New York University, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA; Department of Neuroscience, Yale University, New Haven, CT 06510, USA; Wu Tsai Institute, Yale University, New Haven, CT 06510, USA; Quantitative Biology Institute, Yale University, New Haven, CT 06510, USA.
Jonathan GornetCenter for Neural Science, New York University, New York, NY 10003, USA.
Roman HuszárNeuroscience Institute, New York University, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA.
Gabrielle GirardeauNeuroscience Institute, New York University, New York, NY 10016, USA.
Andres GrosmarkNeuroscience Institute, New York University, New York, NY 10016, USA.
Adrien PeyracheNeuroscience Institute, New York University, New York, NY 10016, USA.
Yuta SenzaiNeuroscience Institute, New York University, New York, NY 10016, USA.
Brendon O WatsonNeuroscience Institute, New York University, New York, NY 10016, USA.
Kenji MizusekiNeuroscience Institute, New York University, New York, NY 10016, USA.
John RinzelCenter for Neural Science, New York University, New York, NY 10003, USA. Electronic address: rinzeljm@gmail.com.
György BuzsákiNeuroscience Institute, New York University, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA; Department of Neurology, New York University, New York, NY 10016, USA; Langone Medical Center, New York University, New York, NY 10016, USA. Electronic address: gyorgy.buzsaki@nyumc.org.

Funding

U19 Supplement 2023-FroemkeU19NS107616 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MOSES VICTOR CHAO · 2018 to 2026
$36.4M
Transformation of Neuronal Activity in the Entorhinal-hippocampal-neocortex PathR01MH122391 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BASU, JAYEETA, BUZSAKI, GYORGY · 2020 to 2024
$3.3M
Consolidation and interference of hippocampal spatial mapsR01MH139216 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GYORGY BUZSAKI, KAMRAN DIBA · 2025 to 2026
$1.2M
NIMH NIH HHS R01 MH122391NIMH NIH HHS R01 MH139216NINDS NIH HHS U19 NS107616
6 · The paper itself

Abstract

Neuronal firing patterns have significant spatiotemporal variability with no agreed-upon theoretical framework. Using a combined experimental and modeling approach, we found that spike interval statistics of excitatory neurons in the mammalian forebrain are dominated by a universal low-rate ("ground state"; GS) mode, with irregular spiking at neuron-specific rates. In contrast, when firing rates are increased during intrinsic network patterns or in response to stimuli, spiking across neurons is temporally coordinated with more regular spiking patterns in a region- and brain-state-specific manner. We demonstrate the generality of this distinction in six forebrain areas and show that the majority of spikes in all regions are emitted in the GS mode, emphasizing its physiological importance. We hypothesize that GS spiking maintains persistent neuronal dynamics.

Indexed as

Action PotentialsNeuronsProsencephalonAnimalsModels, Neurologicalfiring ratehippocampusinterspike intervalsneocortexrate codingself-organizationsleepspontaneous activitytemporal codingthalamus

Identifiers

PMID41713414
PMCPMC13225456

What OpenQuestion holds

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Registered trials

None linked

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.