{
  "single_goal": {
    "sessions_per_condition": 8,
    "animals": 5,
    "raw_values": 48,
    "animal_equal_means": {
      "small_pupil": {
        "last_training": 5.6059,
        "probe": 37.23727,
        "first_test": 55.143499999999996
      },
      "large_pupil": {
        "last_training": 4.931433333333334,
        "probe": 4.963466666666667,
        "first_test": 4.98315
      }
    }
  },
  "disrupted_fraction_session_means": {
    "small_pupil": 0.4110639164283629,
    "large_pupil": 0.4397792278615316
  },
  "two_goal": {
    "sessions": 7,
    "animals": 4,
    "used_values": 28,
    "animal_means": [
      {
        "animal": "PPP12",
        "familiar_probe_s": 2.4285,
        "familiar_first_test_s": 2.5125,
        "novel_probe_s": 37.342,
        "novel_first_test_s": 4.5385
      },
      {
        "animal": "PPP13",
        "familiar_probe_s": 5.359,
        "familiar_first_test_s": 1.667,
        "novel_probe_s": 22.362000000000002,
        "novel_first_test_s": 13.8035
      },
      {
        "animal": "PPP15",
        "familiar_probe_s": 2.1245000000000003,
        "familiar_first_test_s": 1.962,
        "novel_probe_s": 24.634,
        "novel_first_test_s": 6.7044999999999995
      },
      {
        "animal": "PPP16",
        "familiar_probe_s": 1.375,
        "familiar_first_test_s": 1.899,
        "novel_probe_s": 22.885,
        "novel_first_test_s": 4.55
      }
    ],
    "excluded": "Training columns: first/last labeling conflict between source workbook and caption."
  },
  "model": {
    "learning_rate": 0.3,
    "presentations_per_task": 50,
    "outcomes": [
      {
        "rho": 0.0,
        "schedule": "blocked",
        "old_squared_error": 0.0,
        "new_squared_error": 3.2344765128947503e-16,
        "joint_mean_squared_error": 1.6172382564473752e-16,
        "best_joint_MSE": 0.0,
        "feature_rank": 2
      },
      {
        "rho": 0.0,
        "schedule": "interleaved",
        "old_squared_error": 0.0,
        "new_squared_error": 3.2344765128947503e-16,
        "joint_mean_squared_error": 1.6172382564473752e-16,
        "best_joint_MSE": 0.0,
        "feature_rank": 2
      },
      {
        "rho": 0.8,
        "schedule": "blocked",
        "old_squared_error": 2.0735999254140585,
        "new_squared_error": 1.047970390177899e-15,
        "joint_mean_squared_error": 1.0367999627070297,
        "best_joint_MSE": 2.465190328815662e-31,
        "feature_rank": 2
      },
      {
        "rho": 0.8,
        "schedule": "interleaved",
        "old_squared_error": 0.0009549349414872655,
        "new_squared_error": 0.0005022449313750287,
        "joint_mean_squared_error": 0.0007285899364311471,
        "best_joint_MSE": 2.465190328815662e-31,
        "feature_rank": 2
      },
      {
        "rho": 1.0,
        "schedule": "blocked",
        "old_squared_error": 3.999999856122798,
        "new_squared_error": 1.2937906051579001e-15,
        "joint_mean_squared_error": 1.9999999280613996,
        "best_joint_MSE": 1.0,
        "feature_rank": 1
      },
      {
        "rho": 1.0,
        "schedule": "interleaved",
        "old_squared_error": 1.384083044982698,
        "new_squared_error": 0.6782006920415231,
        "joint_mean_squared_error": 1.0311418685121105,
        "best_joint_MSE": 1.0,
        "feature_rank": 1
      }
    ],
    "scope": "Chosen two-feature supervised regression. It is not neural replay, a sleep simulation, or a biological optimum."
  },
  "limitations": [
    "Animal means are descriptive re-aggregation, not a rerun of the original statistical model.",
    "Session and event observations are not independent animals.",
    "No complete re-decoding of neural activity or causal test of large-pupil replay for old memory is performed.",
    "Equal abstract update counts are not matched biological exposure or energy."
  ]
}