PROJECT

Y1 RSA Project

GLM + RSA pipeline artifacts with task visuals extracted from the Learn deck.

ARTIFACTS (CURATED)

Task visual (Learn deck extract)

mined/raw/SDN/Y1_project/Learn/Papers_Presentation/Learn.pptx

Task visual (Learn deck extract)

mined/raw/SDN/Y1_project/Learn/Papers_Presentation/Learn.pptx

Task visual (Learn deck extract)

mined/raw/SDN/Y1_project/Learn/Papers_Presentation/Learn.pptx

Task visual (Learn deck extract)

mined/raw/SDN/Y1_project/Learn/Papers_Presentation/Learn.pptx

LEARN RSA Masterplan (HTML)

code

Code-heavy pipeline artifact (we surface key excerpts for readability).

<!-- Full HTML artifact lives in the repo (masterplan + pipeline).
     Site surfaces selected excerpts + the artifact reference. -->

Source: mined/raw/SDN/Y1_project/LEARN_RSA_MASTERPLAN_FINAL.html

RSA pipeline runner (parallelized)

code

Orchestrates per-subject RSA runs: generate AFNI procs, clean outputs, then run GLM in parallel.

MAKE_PROC="${MAKE_PROC:-1}"
CLEAN_OUT="${CLEAN_OUT:-1}"
RUN_GLM="${RUN_GLM:-1}"

proc_gen() {
  local subj="$1"
  AP_TMP="$TMP_DIR/LEARN_ap_Full_RSA_runwise_${subj}.sh"
  cp "$AP_ORIG" "$AP_TMP"
  sed -i "s|^set subjects = .*|set subjects = ( ${subj} )|" "$AP_TMP"
  tcsh "$AP_TMP" |& tee "$LOG_DIR/ap.${subj}.log"

Source: mined/raw/SDN/Y1_project/rsa-learn/scripts/LEARN_run_RSA_runwise_pipeline.sh

RSA hypothesis comparisons (generator)

code

Generates an explicit comparison list for RSA families (valence, predictability, totals, peer-level models).

# Base conditions
PN_N = "Nice feedback from Predictable Nice"
PN_M = "Mean feedback from Predictable Nice"
PM_N = "Nice feedback from Predictable Mean"
PM_M = "Mean feedback from Predictable Mean"
U_N  = "Nice feedback from Unpredictable"
U_M  = "Mean feedback from Unpredictable"

comparisons = []

Source: mined/raw/SDN/Y1_project/Learn/RSA_Coding/Hypotheses_Generation/hypothesesgen.py

Learn task deck

other

mined/raw/SDN/Y1_project/Learn/Papers_Presentation/Learn.pptx