New Nature Neuroscience Review paper on Computational Psychiatry by Quentin Huys, Tiago Maia and Michael Frank. See the comment in Scientific American, too.
Deep nets for schizophrenia rs-fMRI classification
A new paper in Neuroimage applies deep neural nets to the classification of schizophrenia vs controls from resting state fMRI data. It outperforms other approaches and also extracts some interesting hierarchical features. The paper discusses pre-training and sparsity control in
Computational psychiatry special issue – Clin Psychol Sci
Special issue on computational psychiatry in Clinical Psychological Science. Papers by: Tiago V. Maia: Introduction to the Series on Computational Psychiatry Thomas V. Wiecki, Jeffrey Poland, and Michael J. Frank: Model-Based Cognitive Neuroscience Approaches to Computational Psychiatry: Clustering and Classification
Computational Neuroimaging – Neuron review
New Neuron review paper on Translational Perspectives for Computational Neuroimaging by Stephan, Iglesias, Heinzle and Diaconescu