Machine Learning and Interpretation in Neuroimaging

International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions

Editors:

ISBN: 978-3-642-34712-2 (Print) 978-3-642-34713-9 (Online)

Table of contents (32 chapters)

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  1. Front Matter

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  2. Coding and Decoding

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      Pages 1-8

      A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding

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      Pages 9-16

      Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify

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      Pages 17-25

      Searchlight Based Feature Extraction

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      Pages 26-33

      Looking Outside the Searchlight

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      Pages 34-41

      Population Codes Representing Musical Timbre for High-Level fMRI Categorization of Music Genres

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      Pages 42-50

      Induction in Neuroscience with Classification: Issues and Solutions

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      Pages 51-59

      A New Feature Selection Method Based on Stability Theory – Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data

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      Pages 60-67

      Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection

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      Pages 68-75

      Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain

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      Pages 76-83

      Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI

  3. Neuroscience

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      Pages 84-92

      Modality Neutral Techniques for Brain Image Understanding

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      Pages 93-100

      How Does the Brain Represent Visual Scenes? A Neuromagnetic Scene Categorization Study

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      Pages 101-107

      Finding Consistencies in MEG Responses to Repeated Natural Speech

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      Pages 108-115

      Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation

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      Pages 116-123

      Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM

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      Pages 124-131

      MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials

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      Pages 132-139

      Pairwise Analysis for Longitudinal fMRI Studies

  4. Dynamics

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      Pages 140-147

      Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information

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      Pages 148-155

      The Dynamic Beamformer

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      Pages 156-163

      Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing

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