Article

Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot

2020-04-24

Abstract excerpt

Neuroscientific knowledge points to the presence of redundancy in the correlations of brain’s functional activity. These redundancies can be removed to mitigate the problem of overfitting when deep neural network (DNN) models are used to classify neuroimaging datasets. We propose an algorithm that removes insignificant nodes of DNNs in a layerwise manner and then adds a subset of correlated features in a single sh...

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Identifiers and source

Literature Corpus work: 8535fe25-b97e-56fe-bb25-797ce4dc12a8
DOI: 10.1101/2020.04.22.056382

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