Computational and Network Modeling of Neuroimaging Data

1. Statistical modeling: Harnessing uncertainty and variation in neuroimaging data
2. Sensory modeling: Understanding computation in sensory systems through image-computable models
3. Cognitive modeling: Joint models use cognitive theory to understand brain activations
4. Network modeling: The explanatory power of activity flow models of brain function
5. Biophysical modeling: An approach for understanding the physiological fingerprint of the BOLD fMRI signal
6. Biophysical modeling: Multicompartment biophysical models for brain tissue microstructure imaging
7. Dynamic brain network models: How interactions in the structural connectome shape brain dynamics
8. Neural graph modelling
9. Machine learning and neuroimaging: Understanding the human brain in health and disease
10. Decoding models: From brain representation to machine interfaces
11. Normative modeling for clinical neuroscience

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• Neurologia e neurofisiologia clínica
• Engenharia biomédica
• Imagiologia médica
• Biotecnologia
• Modelagem computacional e simulação

Statistical models; Biophysical models; Network models; Cognitive models; Sensory models; Dynamical models; Connectionist (neural network) models; Population-focused models; Multi-scale neural models; Prediction-focused models; Brain-machine interface and decoding models