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  • AFNI, SUMA and FATCAT: v23.0.03 »
  • 13. AFNI Codex: Code Examples from publications »
  • 13.2. FMRI Codex

13.2. FMRI Codex¶

  • 13.2.1. Taylor et al. (2022). Highlight Results, Don’t Hide Them: Enhance interpretation, …
    • Introduction
    • Download scripts
    • View scripts
  • 13.2.2. Chen et al. (2022). Hyperbolic trade-off: The importance of balancing trial …
    • Introduction
    • Download scripts
    • View scripts
  • 13.2.3. Atlas et al. (2022). Instructions and experiential learning have similar …
    • Introduction
    • Download scripts
    • View scripts
  • 13.2.4. Steinhauser et al. (2022). Functional dissection of neural connectivity …
    • Introduction
    • Download scripts
    • View scripts
  • 13.2.5. Yang et al. (2021). Different activation signatures in the primary sensorimotor …
    • Introduction
    • Download scripts
    • View scripts
  • 13.2.6. Chen et al. (2018b). Handling Multiplicity in Neuroimaging Through Bayesian …
    • Introduction
    • Download scripts
    • View scripts
  • 13.2.7. Chen et al. (2018a). A tail of two sides: Artificially doubled false positive …
    • Introduction
    • Download scripts
    • View scripts
  • 13.2.8. Taylor et al. (2018). FMRI processing with AFNI: Some comments and corrections …
    • Introduction
    • Download scripts
    • View scripts
  • 13.2.9. Chen et al. (2016). Untangling the Relatedness among Correlations, Part II: …
    • Introduction
    • Download scripts
    • View scripts

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Table of Contents

  • 1. Installation and Background
  • 2. Starting with AFNI
  • 3. Educational resources
  • 4. All program helps
  • 5. AFNI (and afni)
  • 6. SUMA
  • 7. FATCAT
  • 8. Statistics
  • 9. Templates & Atlases
  • 10. Non-human processing
  • 11. Tutorials, Examples
  • 12. Demo Material
  • 13. AFNI Codex: Code Examples from publications
    • 13.1. Overview
    • 13.2. FMRI Codex
      • 13.2.1. Taylor et al. (2022). Highlight Results, Don’t Hide Them: Enhance interpretation, …
      • 13.2.2. Chen et al. (2022). Hyperbolic trade-off: The importance of balancing trial …
      • 13.2.3. Atlas et al. (2022). Instructions and experiential learning have similar …
      • 13.2.4. Steinhauser et al. (2022). Functional dissection of neural connectivity …
      • 13.2.5. Yang et al. (2021). Different activation signatures in the primary sensorimotor …
      • 13.2.6. Chen et al. (2018b). Handling Multiplicity in Neuroimaging Through Bayesian …
      • 13.2.7. Chen et al. (2018a). A tail of two sides: Artificially doubled false positive …
      • 13.2.8. Taylor et al. (2018). FMRI processing with AFNI: Some comments and corrections …
      • 13.2.9. Chen et al. (2016). Untangling the Relatedness among Correlations, Part II: …
  • 14. References, methods and citations
  • 15. Developer Documentation
  • 16. Contributors
  • 17. Glossary
  • 18. Main AFNI pages

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