- Read, analyze, and synthesize neuroscience, cognitive science, and computational neuroscience literature.
- Develop biologically plausible computational models of neural circuits, brain regions, and large-scale brain systems.
- Compare model predictions with experimental data and refine models accordingly.
- Develop novel algorithms inspired by biological neural computation.
- Analyze large-scale neural and behavioral datasets to inform and evaluate computational models.
- Stay current with advances in neuroscience, machine learning, and computational modeling.
- Propose and pursue original research directions that advance our understanding of brain computation.
- Make novel scientific contributions to computational neuroscience through the development of new theories and models.
- Document research findings and communicate results through technical reports, publications, and presentations.
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