First-pass extracted concept

computational modeling of neuronal dynamics

Candidate: concept label1 source documents3 linked claims

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Extracted Explainers

What the tool is doing

The abstract describes computational modeling of neuronal dynamics as a way to reconstruct neuron biophysics and whole-organism network models.

Source 1DOI PubMed

Resources required

The review states that these models are combined with experimental datasets.

Source 1DOI PubMed

What problem it solves

It helps generate a better understanding of organismal behavior from neuronal properties and network structure.

Source 1DOI PubMed

Evidence Snippets

Computational modeling of neuronal dynamics not only helps reconstruct the biophysical properties of individual neurons but also allows for subsequent reconstruction of whole-organism neuronal network models.

Evidence 1Source 1DOI PubMedprovenance

Supporting Sources

Source 1primary paper2019MEDDOI PubMed

1 evidence snippet 3 linked claims Claim 1 Claim 2 Claim 3

Linked Claims

Claim 1approach summarysupports2019Source 1DOI PubMed

Combining experimental datasets with theoretical modeling generates a better understanding of organismal behavior.

Claim 2capabilitysupports2019Source 1DOI PubMed

Computational modeling of neuronal dynamics can reconstruct biophysical properties of individual neurons and whole-organism neuronal network models.

Claim 3review scopesupports2019Source 1DOI PubMed

Recent technological advances are used to analyze and perturb whole-organism neuronal function and, together with computational modeling, allow interrogation of local and global neural circuits leading to different behaviors.