An Introduction To Model Based Cognitive Neuroscience by Birte U. Forstmann
A practical overview of how formal cognitive models can be integrated with neural data to explain behavior and brain mechanisms. It introduces core decision-making frameworks such as diffusion and accumulator models, covers hierarchical Bayesian estimation and model comparison, and explains linking functions that connect latent parameters to fMRI, EEG/MEG, and single-unit measures. Through tutorials and case studies, it demonstrates parameter-to-brain mapping, addresses challenges like identifiability and parameter recovery, and provides tools, datasets, and best practices for transparent, reproducible analyses.
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- Published
- 2015
- Nationality
- Unknown
- Length
- Moderate
- Pages
- 350-380
- Original Language
- English
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