ArticleNature communications2023
Associations between in vitro, in vivo and in silico cell classes in mouse primary visual cortex.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- A multimodal approach for visualizing and identifying electrophysiological cell types in vivo.Nature communications · 2026Article
- Prefrontal cortex interneurons and their contributions to attention, working memory, and adaptive behavior.Progress in neurobiology · 2026Review
- Neuropixels reveal laminar microcircuit organization in monkey V1 in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Large-scale neuromorphic modeling of cortical networks on FPGA for investigating anesthetic-induced neural dynamics.Frontiers in systems neuroscience · 2026Article
- In vivo neural activity of electrosensory pyramidal cells: Biophysical characterization and phenomenological modeling.PLoS computational biology · 2025Article
- A multimodal approach for visualization and identification of electrophysiological cell typesbioRxiv : the preprint server for biology · 2025Article
- Neuropixels reveal structure-function relationships in monkey V1bioRxiv : the preprint server for biology · 2025Article
- Functional role of cell classes in monkey prefrontal cortex after learning a working memory task.Communications biology · 2025Article
- DREDge: robust motion correction for high-density extracellular recordings across species.Nature methods · 2025Article
- DREDge: robust motion correction for high-density extracellular recordings across species.bioRxiv : the preprint server for biology · 2023Article
- Positive and biphasic extracellular waveforms correspond to return currents and axonal spikes.Communications biology · 2023Article
Corrections and comments
- Update of
Authors and funding
11 authors.
Funding
Abstract
The brain consists of many cell classes yet in vivo electrophysiology recordings are typically unable to identify and monitor their activity in the behaving animal. Here, we employed a systematic approach to link cellular, multi-modal in vitro properties from experiments with in vivo recorded units via computational modeling and optotagging experiments. We found two one-channel and six multi-channel clusters in mouse visual cortex with distinct in vivo properties in terms of activity, cortical depth, and behavior. We used biophysical models to map the two one- and the six multi-channel clusters to specific in vitro classes with unique morphology, excitability and conductance properties that explain their distinct extracellular signatures and functional characteristics. These concepts were tested in ground-truth optotagging experiments with two inhibitory classes unveiling distinct in vivo properties. This multi-modal approach presents a powerful way to separate in vivo clusters and infer their cellular properties from first principles.
Indexed as
Identifiers
What OpenQuestion holds
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.