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date. Title. Authors. 4 main topics : Machine learning and pattern recognition methodology Interpretable decoding of higher cognitive states from neural data Causal inference in neuroimaging Linking machine learning, neuroimaging and neuroscience.

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  1. date Title Authors

  2. 4 main topics: Machine learning and pattern recognition methodology Interpretable decoding of higher cognitive states from neural data Causal inference in neuroimaging Linking machine learning, neuroimaging and neuroscience

  3. Extracting spatial patterns from ongoing activityExtended ICA with multi-subject sparse modelsProbabilistic model of inter-subject variabilityPopulation level atlasesSubjects-specific functional regionsGraphical models of interactions between regionsPopulation prior with sparsity-inducing penalizations

  4. Mapping anatomical connectivity to functional connectivityMultivariate autoregressive model with sparse linear regressionModel selection based on cross-validationRandomized LASSO to identify relevant links

  5. Biologically inspired feed-forward hierarchical model which emulates visual processingSignal detection and classification in PET and SPECT imagingBayesian mixture of experts approach for modeling activation patterns across fMRI scans acquired at different sitesApplying LDA topic model to count data in PET scans from multiple disease groups

  6. Make predictions about progression of Alzheimer DiseaseMulti-Kernel Learning methodsCombining different imaging methods into a single model

  7. Topographic representation of frequency preference (tonotopy)Modeling brain response to various natural sounds (voxel tuning curve)

  8. Treat unmeasured brain activity as hidden variables in graphical modelHidden variables are inferred in automated fashion from dataEEGs of Alzheimer patients do not vary in number of hidden variables (from controls) but interactions do

  9. Apply decoding to similarity relations between activation patternsMatch similarity spaces to reveal commonalitiesNeural fingerprint are subject specific, neural similarity spaces might not be

  10. Attention is subserved by strong enhancements of inter-areal synchronizationBottom-up in gamma-bandTop-down in beta band

  11. Simultaneous parcellation of multisubject fMRI data into functionally coherent areasHierarchical probabilistic model that accounts for variabilityFunctional parcellation into population-level clustersNo need for spatial normalization on group-level

  12. Machine learning techniques for discovery of clinically useful information from medical imagesMulti-atlas segmentation using classifier fusion and selectionDiscovery of biomarkers for Alzheimer'sQuantification of temporal changes such as growth in the developing brain

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