Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity
Dvornek NC, Li X, Zhuang J, Ventola P, Duncan JS. Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. Lecture Notes In Computer Science 2020, 12436: 363-372. PMID: 34308438, PMCID: PMC8299434, DOI: 10.1007/978-3-030-59861-7_37.Peer-Reviewed Original ResearchRecurrent neural network modelRecurrent neural networkNeural network modelFunctional magnetic resonance imaging (fMRI) time series dataAttention mechanismArt resultsNeural networkCross-validation frameworkNetwork modelTime series dataIndividual demographic informationABIDE IImproved classificationNetwork differencesNetworkClassificationFunctional network differencesFrameworkIndividual demographic variablesInformationEstimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS
Dvornek NC, Ventola P, Duncan JS. Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2020, 00: 1-4. PMID: 34422224, PMCID: PMC8375550, DOI: 10.1109/isbi45749.2020.9098377.Peer-Reviewed Original ResearchLong short-term memoryFunctional networksBiological motion perception taskTask activitiesMotion perception taskShort-term memoryLSTM modelPerception taskNeural correlatesTask paradigmFMRI activityTerm memoryRecurrent neural networkTask dynamicsTarget taskFunctional magnetic resonance imaging (fMRI) time series dataTaskUnsupervised manner