Research map / Probabilistic and scientific modeling / Dynamical systems
An information-theoretic quantification of the content of communication between brain regions
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| increase feature-unrelated transmission strength (wnoise) | TE · simulated two-region transmission | information value | Helped |
| increase feature-unrelated transmission strength (wnoise) | FIT · simulated two-region transmission | information value | Hurt |
| use FIT instead of TE for temporal localization of feature information flow | simulated time-resolved transmission · simulation Fig 2B | temporal specificity | Helped |
| compare FIT in feedforward vs feedback direction | MEG visual network gamma band · MEG visual hierarchy | FIT stimulus: p < 0.001 effect larger than for TE (p < 0.05) | Helped |
| FIT in error vs correct trials | MEG feedforward gamma · MEG visual hierarchy | FITS vs TE: p = 0.001 for FITS | Mixed |
| conditioned FIT (cFIT) to remove routing through other regions (ablation) | FIT · EEG interhemispheric transfer | eye-specific FIT | No clear effect |
| use FIT instead of TE difference-by-feature or DFI | feature-specific information flow measure · simulations and MEG | interpretability / precision | Helped |
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