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Found 4 papers, 2 papers with code
fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits
We obtain a personal signature of a person's learning progress in a self-neuromodulation task, guided by functional MRI (fMRI).
Self-Supervised Transformers for fMRI representation
We present TFF, which is a Transformer framework for the analysis of functional Magnetic Resonance Imaging (fMRI) data.
Learning Personal Representations from fMRIby Predicting Neurofeedback Performance
We present a deep neural network method for learning a personal representation for individuals that are performing a self neuromodulation task, guided by functional MRI (fMRI).
Deep driven fMRI decoding of visual categories
Deep neural networks have been developed drawing inspiration from the brain visual pathway, implementing an end-to-end approach: from image data to video object classes.
