Dataset Information

Tracking intracellular dynamics through extracellular measurements.

ABSTRACT: Extracellular recordings of neuronal cells are frequently a part of in vitro and in vivo experimental studies as a means of monitoring network-level dynamics. Their connections to intracellular dynamics are not well understood. Single-unit recordings are a more direct way to measure intracellular dynamics, but are typically difficult and expensive. On the other hand, simple differential equations models exist for single neurons. In this article, we apply a recent advance in data assimilation theory, designed to correct bias in general observation functions, toward the reconstruction of model-based intracellular dynamics from extracellular recordings.

SUBMITTER: Hamilton F

PROVIDER: S-EPMC6192632 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Tracking intracellular dynamics through extracellular measurements.

Hamilton Franz F Berry Tyrus T Sauer Timothy T

PloS one 20181017 10

Extracellular recordings of neuronal cells are frequently a part of in vitro and in vivo experimental studies as a means of monitoring network-level dynamics. Their connections to intracellular dynamics are not well understood. Single-unit recordings are a more direct way to measure intracellular dynamics, but are typically difficult and expensive. On the other hand, simple differential equations models exist for single neurons. In this article, we apply a recent advance in data assimilation the ...[more]

PMID: 30332448

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Dataset Information

Tracking intracellular dynamics through extracellular measurements.

Publications

Tracking intracellular dynamics through extracellular measurements.

Similar Datasets

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