{
  "analysis_id": "analysis.random-dot-motion.descriptive-psychometric",
  "analysis_type": "descriptive_psychometric",
  "behavtaskatlas_commit": "4fabef6",
  "behavtaskatlas_git_dirty": false,
  "caveats": [
    "The PyDDM CSV stores unsigned coherence, target choice, and correctness. Signed coherence is reconstructed using the documented PyDDM target-coding transform.",
    "Canonical left/right labels are used as target-2/target-1 labels because the processed CSV does not preserve a stable screen-side mapping.",
    "Reaction times are reported from the processed PyDDM CSV without excluding short or long trials."
  ],
  "chronometric_rows": [
    {
      "evidence_strength": 0.0,
      "mean_response_time": 0.8258155053974485,
      "median_response_time": 0.821,
      "n_correct": 509,
      "n_response": 1019,
      "n_trials": 1019,
      "p_correct": 0.49950932286555444
    },
    {
      "evidence_strength": 3.2,
      "mean_response_time": 0.8200583657587549,
      "median_response_time": 0.8145,
      "n_correct": 660,
      "n_response": 1028,
      "n_trials": 1028,
      "p_correct": 0.642023346303502
    },
    {
      "evidence_strength": 6.4,
      "mean_response_time": 0.7747043902439025,
      "median_response_time": 0.762,
      "n_correct": 796,
      "n_response": 1025,
      "n_trials": 1025,
      "p_correct": 0.7765853658536586
    },
    {
      "evidence_strength": 12.8,
      "mean_response_time": 0.6839706744868035,
      "median_response_time": 0.675,
      "n_correct": 963,
      "n_response": 1023,
      "n_trials": 1023,
      "p_correct": 0.9413489736070382
    },
    {
      "evidence_strength": 25.6,
      "mean_response_time": 0.5426959064327486,
      "median_response_time": 0.544,
      "n_correct": 1021,
      "n_response": 1026,
      "n_trials": 1026,
      "p_correct": 0.9951267056530214
    },
    {
      "evidence_strength": 51.2,
      "mean_response_time": 0.4231196498054475,
      "median_response_time": 0.41,
      "n_correct": 1028,
      "n_response": 1028,
      "n_trials": 1028,
      "p_correct": 1.0
    }
  ],
  "dataset_id": "dataset.roitman-shadlen-rdm-pyddm",
  "generated_at": "2026-04-27T06:47:28.634460+00:00",
  "n_no_response_trials": 0,
  "n_response_trials": 6149,
  "n_trials": 6149,
  "prior_results": [
    {
      "empirical_bias": 0.14225679852741988,
      "empirical_bias_coherence": 0.14225679852741988,
      "empirical_threshold": 5.783963049903194,
      "empirical_threshold_coherence": 5.783963049903194,
      "fit": {
        "bias_coherence": -0.2126086199891447,
        "left_lapse": 0.0,
        "method": "four_parameter_logistic_binomial_mle",
        "n_points": 11,
        "n_response_trials": 6149,
        "negative_log_likelihood": 2182.301892619566,
        "optimizer": "scipy.optimize.minimize",
        "right_lapse": 0.0,
        "scale_coherence": 4.875967992073773,
        "status": "ok",
        "threshold_coherence": 5.3567983552446155
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      "left_lapse_empirical": 0.0,
      "n_coherence_levels": 11,
      "n_response_trials": 6149,
      "n_stimulus_levels": 11,
      "n_trials": 6149,
      "prior_context": null,
      "right_lapse_empirical": 0.0
    }
  ],
  "protocol_id": "protocol.random-dot-motion-classic-macaque",
  "report_title": "Random-Dot Motion Report",
  "response_time_origin": "saccade time minus stimulus onset, from PyDDM processed CSV",
  "stimulus_label": "Signed motion coherence",
  "stimulus_metric_name": "coherence",
  "stimulus_units": "percent coherence, signed target 1 positive",
  "summary_rows": [
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      "median_response_time": 0.4245,
      "n_correct": 516,
      "n_no_response": 0,
      "n_response": 516,
      "n_right": 0,
      "n_trials": 516,
      "p_correct": 1.0,
      "p_right": 0.0,
      "prior_context": null,
      "stimulus_value": -51.2
    },
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      "n_no_response": 0,
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      "stimulus_value": -25.6
    },
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    },
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      "n_response": 1019,
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    {
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  ]
}