ArticlePLoS computational biology2021
What we can and what we cannot see with extracellular multielectrodes.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Dynamic mapping of network-level LTP in the hippocampus via high-resolution bioelectrical sensing.APL bioengineering · 2025Article
- A Case Study on EEG Signal Correlation Towards Potential Epileptic Foci Triangulation.Sensors (Basel, Switzerland) · 2024Article
- NMDA receptor antagonist high-frequency oscillations are transmitted via bottom-up feedforward processing.Scientific reports · 2024Article
- kCSD-python, reliable current source density estimation with quality control.PLoS computational biology · 2024Article
- Article
- Cross-population coupling of neural activity based on Gaussian process current source densities.PLoS computational biology · 2021Article
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Authors and funding
9 authors.
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Abstract
Extracellular recording is an accessible technique used in animals and humans to study the brain physiology and pathology. As the number of recording channels and their density grows it is natural to ask how much improvement the additional channels bring in and how we can optimally use the new capabilities for monitoring the brain. Here we show that for any given distribution of electrodes we can establish exactly what information about current sources in the brain can be recovered and what information is strictly unobservable. We demonstrate this in the general setting of previously proposed kernel Current Source Density method and illustrate it with simplified examples as well as using evoked potentials from the barrel cortex obtained with a Neuropixels probe and with compatible model data. We show that with conceptual separation of the estimation space from experimental setup one can recover sources not accessible to standard methods.
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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.