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Article

Parameter estimation and identifiability in a neural population model for electro-cortical activity

2018-12-10

Abstract excerpt

Electroencephalography (EEG) provides a non-invasive measure of brain electrical activity. Neural population models, where large numbers of interacting neurons are considered collectively as a macroscopic system, have long been used to understand features in EEG signals. By tuning dozens of input parameters describing the excitatory and inhibitory neuron populations, these models can reproduce prominent features o...

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Literature Corpus work
084d833e-5ddb-5972-b2e9-4153905cfb66
DOI
10.1101/492504
Open publication

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Parameter estimation and identifiability in a neural population model for electro-cortical activityDOI 10.1101/492504
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