ea-encoder-unit / results /summary.json
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{
"model_name": "hierarchical_gmm_30_types_300_subtypes",
"release_tag": "2026_W42",
"data_vintage": "2026_W41",
"architecture": {
"modalities": [
"waveform",
"acg",
"stpc"
],
"modality_latent_dim": 20,
"joint_latent_dim": 60,
"density": "hierarchical Gaussian mixture, full covariances",
"n_types": 30,
"n_subtypes": 300,
"max_subtypes_per_type": 10,
"min_units_per_subtype": 20,
"assignment": "top-down: P(k, j | z) = P(k | z) P(j | k, z), P(j | k, z) among the sub-types of k",
"context_conditioning": "sub-type weights gamma_k(x) gamma_j|k(x), from two context networks",
"context_definition": "50 MERFISH PCs + 50 AGEA PCs",
"phenotype_readout": "members: each sub-type's TRAIN units from anywhere in the brain, weighted by their top-down posterior of the sub-type"
},
"split_counts": {
"train_units": 56497,
"validation_units": 7671,
"test_units": 15880,
"train_pids": 572,
"validation_pids": 75,
"test_pids": 149
},
"heldout_basic_test": {
"model": "hierarchical_gmm_30_types_300_subtypes",
"split": "held-out test PIDs",
"reconstruction": {
"waveform_mse": 0.000788584933616221,
"acg_mse": 4.7604778956156224e-05,
"stpc_mse": 0.006178959738463163,
"n_test_units": 4096
},
"latent_nll": {
"context_weights": -29.065819952667763,
"brain_wide_weights": -28.336594620975855,
"context_improvement": 0.7292253316919073,
"n_test_units": 15880,
"lower_is_better": true
},
"sanity_checks": {
"all_metrics_finite": true,
"context_beats_brain_wide": true,
"subtypes_inside_types": true
}
},
"invariants": [
"TEST PIDs are never used for AE/mixture/context training or as readout members.",
"The type and sub-type means and covariance matrices are global.",
"Molecular context changes only the sub-type weights gamma_k(x) gamma_j|k(x).",
"A unit's sub-type always lies inside its type (top-down assignment).",
"All spatial modeling uses the configured single-hemisphere mirroring convention."
]
}