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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Langs, Georg (Επιμελητής έκδοσης), Rish, Irina (Επιμελητής έκδοσης), Grosse-Wentrup, Moritz (Επιμελητής έκδοσης), Murphy, Brian (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Σειρά: Lecture Notes in Computer Science, 7263
• Θέματα: Computer science.; Mathematical statistics.; Data mining.; Computer graphics.; Image processing.; Pattern recognition.; Application software.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Pattern Recognition.; Data Mining and Knowledge Discovery.; Probability and Statistics in Computer Science.; Image Processing and Computer Vision.; Computer Applications.

Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurem...

Πίνακας περιεχομένων:

• 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.