ArticleeLife2017
Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- kCSD-python, reliable current source density estimation with quality control.PLoS computational biology · 2024Article
- Advanced neuroprosthetic electrode design optimized by electromagnetic finite element simulation: innovations and applications.Frontiers in bioengineering and biotechnology · 2024Review
- Computing Extracellular Electric Potentials from Neuronal Simulations.Advances in experimental medicine and biology · 2022Article
- What we can and what we cannot see with extracellular multielectrodes.PLoS computational biology · 2021Article
- Application of a flexible polymer microECoG array to map functional coherence in schizophrenia model.MethodsX · 2020Article
- Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0.Frontiers in neuroinformatics · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Revealing the current source distribution along the neuronal membrane is a key step on the way to understanding neural computations; however, the experimental and theoretical tools to achieve sufficient spatiotemporal resolution for the estimation remain to be established. Here, we address this problem using extracellularly recorded potentials with arbitrarily distributed electrodes for a neuron of known morphology. We use simulations of models with varying complexity to validate the proposed method and to give recommendations for experimental applications. The method is applied to in vitro data from rat hippocampus.
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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.