Machine Learning and Interpretation in Neuroimaging [E-Book] : International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions / edited by Georg Langs, Irina Rish, Moritz Grosse-Wentrup, Brian Murphy.
Grosse-Wentrup, Moritz.
Langs, Georg. / Murphy, Brian. / Rish, Irina.
Berlin, Heidelberg : Springer Berlin Heidelberg : 2012
Imprint: Springer,
XIV, 266 p. 83 illus. digital.
englisch
9783642347139
10.1007/978-3-642-34713-9
Lecture notes in computer science
Full Text
Table of Contents:
  • A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding
  • Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify
  • Searchlight Based Feature Extraction
  • Looking Outside the Searchlight
  • Population Codes Representing Musical Timbre for High-Level fMRI Categorization of Music Genres
  • Induction in Neuroscience with Classification: Issues and Solutions
  • A New Feature Selection Method Based on Stability Theory – Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data
  • Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection
  • Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain
  • Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI
  • Modality Neutral Techniques for Brain Image Understanding
  • How Does the Brain Represent Visual Scenes? A Neuromagnetic Scene Categorization Study
  • Finding Consistencies in MEG Responses to Repeated Natural Speech
  • Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation
  • Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM
  • MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials
  • Pairwise Analysis for Longitudinal fMRI Studies
  • Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information
  • The Dynamic Beamformer
  • Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing
  • The Neural Dynamics of Visual Processing in Monkey Extrastriate Cortex: A Comparison between Univariate and Multivariate Techniques
  • Statistical Learning for Resting-State fMRI: Successes and Challenges
  • Relating Brain Functional Connectivity to Anatomical Connections: Model Selection
  • Information-Theoretic Connectivity-Based Cortex Parcellation
  • Inferring Brain Networks through Graphical Models with Hidden Variables
  • Pitfalls in EEG-Based Brain Effective Connectivity Analysis
  • Data-Driven Modeling of BOLD Drug Response Curves Using Gaussian Process Learning
  • Variational Bayesian Learning of Sparse Representations and Its Application in Functional Neuroimaging
  • Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling
  • A Latent Feature Analysis of the Neural Representation of Conceptual Knowledge
  • Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box
  • Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data.