NeurIPS(NIPS) 2012 论文列表
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.
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Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data.
Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box.
A Latent Feature Analysis of the Neural Representation of Conceptual Knowledge.
Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling.
Variational Bayesian Learning of Sparse Representations and Its Application in Functional Neuroimaging.
Data-Driven Modeling of BOLD Drug Response Curves Using Gaussian Process Learning.
Pitfalls in EEG-Based Brain Effective Connectivity Analysis.
Inferring Brain Networks through Graphical Models with Hidden Variables.
Information-Theoretic Connectivity-Based Cortex Parcellation.
Relating Brain Functional Connectivity to Anatomical Connections: Model Selection.
Statistical Learning for Resting-State fMRI: Successes and Challenges.
The Neural Dynamics of Visual Processing in Monkey Extrastriate Cortex: A Comparison between Univariate and Multivariate Techniques.
Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing.
The Dynamic Beamformer.
Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information.
Pairwise Analysis for Longitudinal fMRI Studies.
MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials.
Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM.
Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation.
Finding Consistencies in MEG Responses to Repeated Natural Speech.
How Does the Brain Represent Visual Scenes? A Neuromagnetic Scene Categorization Study.
Modality Neutral Techniques for Brain Image Understanding.
Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI.
Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain.
Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection.
A New Feature Selection Method Based on Stability Theory - Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data.
Induction in Neuroscience with Classification: Issues and Solutions.
Population Codes Representing Musical Timbre for High-Level fMRI Categorization of Music Genres.
Looking Outside the Searchlight.
Searchlight Based Feature Extraction.
Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify.
A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding.
