Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Machine Learning on Human Connectome Data from MRI
Transport on Riemannian Manifold for Connectivity-Based Brain Decoding
Local Connectome Phenotypes Predict Social, Health, and Cognitive Factors
Deep Learning Approach for Brain Machine Interface
Classification of MRI brain images using k-nearest neighbor and artificial neural network
The big data challenges of connectomics
Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI
Biometrics from Brain Electrical Activity: A Machine Learning Approach
The Statistical Analysis of fMRI Data
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
Theoretical, Statistical, and Practical Perspectives on Pattern-based Classification Approaches to the Analysis of Functional Neuroimaging Data
MR Brain Image Segmentation Based on Self-Organizing Map Network
Guided Proofreading of Automatic Segmentations for Connectomics
Neural Computations Mediating One-Shot Learning in the Human Brain
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex
Automated model-based tissue classification of MR images of the brain
3D Convolutional Neural Networks for Classification of Functional Connectomes
Reproducibility of importance extraction methods in neural network based fMRI classification
Analysis of fMRI Data by Blind Separation Into Independent Spatial Components
The human connectome: a complex network.
Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications
The design and implementation of arbiters for Network-on-chips
Efficient and extensible algorithms for multi query optimization
The role of attention and relatedness in emotionally enhanced memory
Marginalized Kernels Between Labeled Graphs
What to Do on Spring Break? The Role of Predicted, On-Line, and Remembered Experience in Future Choice