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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 /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | Lecture Notes in Artificial Intelligence,
7263 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.