Vertical slice

Human Random-Dot Motion

Palmer-Huk-Shadlen human random-dot motion reaction-time slice with CoSMo2017 provenance, canonical trials, and descriptive psychometric and chronometric summaries.

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Human RDM · psychometric across observers

Compute P(right) by signed motion coherence pooled across observers in the Palmer-Huk-Shadlen CoSMo2017 dataset.

Pyodide + scipy run locally; first load downloads ~12 MB.

Human RDM · psychometric across observers

Pyodide 0.26.4

Compute P(right) by signed motion coherence pooled across observers in the Palmer-Huk-Shadlen CoSMo2017 dataset.

Python (df is a pandas DataFrame loaded from the trials CSV; ⌘/Ctrl-Enter to run)
Click run to start

Runs entirely in your browser. First click downloads ~10 MB of Pyodide and pandas; subsequent runs reuse the cached runtime.

Findings extracted

Curves attached to this slice, on shared signed-evidence axes.

Metrics

Trials 3,373
Response trials 3,373
No-response trials 0
Prior contexts 1
Summary rows 11

Slice profile

Operational variables for cross-slice comparison.

Species
human
Modality
visual
Stimulus metric
signed motion coherence
Evidence type
stochastic-motion
Choice type
2afc
Response modality
button-press
Source data level
processed-trial
Analysis outputs
psychometric and chronometric summaries
Data scope
six CoSMo2017 Palmer-Huk-Shadlen subject files
Canonical axis
rightward motion positive, leftward motion negative

Reproduce locally

Copy this recipe to rebuild the slice's artifacts on your machine at the exact commit deployed here.

Reproduce locally

Run the slice pipeline at this commit

git clone https://github.com/aeronjl/behavtaskatlas.git
cd behavtaskatlas
git checkout ec14ee5
uv sync --extra rdm
uv run behavtaskatlas human-random-dot-motion-download
uv run behavtaskatlas human-random-dot-motion-harmonize
uv run behavtaskatlas human-random-dot-motion-analyze
uv run behavtaskatlas human-random-dot-motion-report

Extras group rdm pulls in the analysis dependencies for this family. Recipe pinned to commit ec14ee5 so a teammate runs the same code path the deploy used.

Artifacts

Slice has a generated local report; the analysis pipeline ran cleanly and produced trial-level output, plots, and provenance.