CANlab Github Repository: Our main fMRI analysis tools (Matlab)
SPM: fMRI analysis tool for Statistical Paramatric Mapping
Principles of fMRI: Coursera videos taught by Tor Wager (my PhD advisor) and Martin Lindquist
Mumford brain stats: Jeanette Mumford's awesome video tutorials and lessons about different neuroimaging data analysis strategies
Neurosynth: Large-scale, automated meta-analysis tool for fMRI
Neurovault: A repository of brain activation maps
Neurohackweek 2016 videos
Neuroimaging data-sharing platforms
INDI: International Data-sharing Initiative
NITRC: Neuroimaging Informatics Tools and Resources Clearinghouse
LONI IDA: Laboratory of Neuro Imaging Image & Data Archive
COINS: Collaborative Informatics and Neuroimaging Suite
NA-MIC: National Alliance for Medical Image Computing
Publicly available neuroimaging data
ABIDE: Autism Brain Imaging Data Exchange (Autism; rs-fMRI)
ADHD-200: Attention Deficit Hyperactivity Disorder-200 (ADHD; rs-fMRI)
ADNI: Alzheimer’s Disease Neuroimaging Initiative (Alzheimer’s; Multimodal including sMRI, fMRI, PET)
AIBL: Australian Imaging, Biomarkers & Lifestyle Flagship Study of Aging (Alzheimer’s; Multimodal including sMRI, PET)
OASIS: Open Access Series of Imaging Studies (Alzheimer’s; sMRI)
iSPOT-D: international Study to Predict Optimized Treatment for Depression (Depression; Multimodal including EEG, dMRI, fMRI, sMRI)
MCIC: MIND Clinical Imaging Consortium (Schizophrenia; Multimodal including dMRI, fMRI, sMRI)
COBRE: Center of Biomedical Research Excellence (Schizophrenia; sMRI, rs-fMRI)
fBIRN: function Biomedical Informatics Research Network (Schizophrenia; fMRI, sMRI)
PPMI: Parkinson’s Progression Markers Initiative (Parkinson’s; Multimodal, including dMRI, fMRI, sMRI, PET)
PAIN: Pain and Interoception Imaging Network (Pain; Multimodal, including dMRI, fMRI, sMRI)
OpenPain: http://www.openpain.org (Pain; fMRI)
Note: dMRI, fMRI and sMRI refer to diffusion-weighted, functional and structural MRI, respectively; rs-fMRI refers to resting-state fMRI.
The Elements of Statistical Learning (Hastie, Tibshirani, Friedman, 2009): Good textbook for statistical/machine learning
Video lectures for Statistical Learning (youtube) (by Hastie and Tibshirani)
Video lectures for Linear Algebra (youtube) taught by Prof. Gilbert Strang
Machine learning with Matlab: free ebook (it's more like a brochure, though).
Scikit-learn: Machine Learning in Python
Kaggle: A great platform for machine learning and prediction
Webweb: A good Network visualization tool
Brain Matters: This podcast is so much fun. This podcast provides interesting interviews with real neuroscientists.
Talking Machines: Podcast about machine learning
Invisibilia: NPR podcast about invisible forces that control human behavior – ideas, beliefs, assumptions and emotions.
Note to self: This podcast is about humanity in digital age.
Radiolab: Interesting stories about science, philosophy, and human experience.
Nature: Nature podcast that features highlighted content from the week's edition of Nature.
Allen Institute (youtube): Videos from Allen Institute
Acapella Science (youtube): Tim Blais's awesome music & science!
Affinity Designer (youtube): Video tutorials for a cool image tool
PBS Spacetime (youtube): Very cool videos about spacetime physics