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"zero_before_arrival": true, "arrival_at_18": true, "first_voltage_effect_at_19": true }, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 2.3447910280083306e-13, "mean_abs_mv": 3.262299068038099e-14, "same_event_prefix_max_abs_mv": 2.3447910280083306e-13, "first_event_divergence_step": null, "tolerance_mv": 1e-08, "pass_oracle": true } }, { "name": "unit:zero:float32", "pass": true, "checks": { "no_events": true, "g_zero": true, "rest_stationary": true }, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 1.0728836059570312e-06, "mean_abs_mv": 5.364418029785156e-07, "same_event_prefix_max_abs_mv": 1.0728836059570312e-06, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true } }, { "name": "unit:weak_excitation:float32", "pass": true, "checks": { "no_events": true, "arrival_at_zero": true, "integration_next_step": true }, "raw_comparison": { "exact_events": true, 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0.00010353326797485352, "mean_abs_mv": 2.6278293235009186e-05, "same_event_prefix_max_abs_mv": 0.00010353326797485352, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true } }, { "name": "unit:equal_threshold:float32", "pass": true, "checks": { "strict_threshold_no_event": true }, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 0.00012242794036865234, "mean_abs_mv": 3.6822035908699036e-05, "same_event_prefix_max_abs_mv": 0.00012242794036865234, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true } }, { "name": "unit:above_threshold:float32", "pass": true, "checks": { "single_seed": true, "reset_g": true }, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 1.0728836059570312e-06, "mean_abs_mv": 5.364418029785156e-07, "same_event_prefix_max_abs_mv": 1.0728836059570312e-06, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true } }, { "name": "unit:nonzero_g_reset:float32", "pass": true, "checks": { "natural_spike_at_1": true, "nonzero_g_before_spike": true, "zero_g_after_spike": true }, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 0.0001220703125, "mean_abs_mv": 8.416175842285156e-07, "same_event_prefix_max_abs_mv": 0.0001220703125, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true } }, { "name": "unit:delay_18:float32", "pass": true, "checks": { "one_seed": true, "zero_before_arrival": true, "arrival_at_18": true, "first_voltage_effect_at_19": true }, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 0.0001220405101776123, "mean_abs_mv": 1.6799908344182768e-05, "same_event_prefix_max_abs_mv": 0.0001220405101776123, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true } } ], "frozen_five_gpu_check": { "name": "frozen_five_gpu_references", "pass": true, "record": { "pass_all": true, "trials": [ { "trial": "auditory-10hz", "exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true }, "wall_seconds": 2.747663623000335 }, { "trial": "auditory-100hz", "exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true }, "wall_seconds": 4.922076707999622 }, { "trial": "olfactory-50hz", "exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true }, "wall_seconds": 4.944787881999673 }, { "trial": "mechanosensory-50hz", "exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true }, "wall_seconds": 4.964256072000353 }, { "trial": "gustatory-50hz", "exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true }, "wall_seconds": 4.95321602399963 } ], "oracle": "frozen deterministic-v2, NOT author Brian2", "wall_seconds": 82.62074518699978, "peak_allocated_vram": 285994496, "gpu": "NVIDIA GeForce RTX 4090", "comfyui_modified": false }, "scope": "Old frozen runtime regression only, not a new-model dynamics gate." }, "author_poi_interface_check": { "name": "author_poi_compile_only", "pass": true, "record": { "gate": true, "checks": { "exact_author_source": true, "one_poisson_input": true, "initial_refractory_is_original": true, "only_excited_target_loses_refractory": true, "actual_voltage_interface": true, "actual_N_one": true, "actual_rate_150_hz": true, "actual_weight_68_75_mv": true, "actual_synapses_slot_order_zero": true, "zero_elapsed_time": true, "no_recorded_spikes": true, "compile_preserves_voltage": true, "compile_preserves_g": true, "compile_preserves_weights": true, "compile_preserves_refractory_configuration": true }, "author_commit": "91bdd1e7dcf193f3e7ca5a8933497fcef63b7960", "author_sha256": "fc45837d7122c6ce2a7f3f2f23c515992e4b232aadb919efabb72337fac88e4e", "fixture": "two synthetic nodes, one raw_count=1 connection", "nodes": [ -2, -1 ], "exc_local_indices": [ 0 ], "exc2_local_indices": [], "rfc_before_ms": [ 2.2, 2.2 ], "rfc_after_ms": [ 0.0, 2.2 ], "poisson_inputs": [ { "name": "poissoninput", "type": "PoissonInput", "target_group": "default_neurons_subgroup", "target_local_start": 0, "target_local_stop": 1, "target_global_nodes": [ -2 ], "target_var": "v", "N": 1, "rate_hz": 150.0, "weight_mv": 68.75, "weight_volt": 0.06875, "when": "synapses", "order": 0, "dt_ms": 0.1, "abstract_code": "v += poissoninput_binomial()*68.75 * mvolt", "generated_code": [ "after_run:\n import numpy as _numpy\n from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n # EMPTY_CODE_BLOCK -- overwrite in child template\nbefore_run:\n import numpy as _numpy\n from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n # EMPTY_CODE_BLOCK -- overwrite in child template\nrun:\n import numpy as _numpy\n from brian2.codegen.runtime.numpy_rt.numpy_rt import LazyArange\n # scalar code\n _vectorisation_idx = 1\n _lio_1 = 68.75 * mvolt\n # vector code\n _vectorisation_idx = LazyArange(N)\n _sub_idx = _array_default_neurons_subgroup__sub_idx\n v = _array_default_neurons_v[_sub_idx]\n not_refractory = _array_default_neurons_not_refractory[_sub_idx]\n v[not_refractory] += _lio_1 * poissoninput_binomial(_vectorisation_idx[not_refractory])\n _array_default_neurons_v[_sub_idx] = v\n" ] } ], "synaptic_weight_mv": [ 0.275 ], "input_hashes": { "completeness.csv": "06e601b217fdbc48eee57eac01cc9a9fa649ec2a1810a2e212efcd3e4b632303", "connectivity.parquet": "34f12d50889ccf2e637d913a0f3c4104d49032a6a67f9c3fbcd52e68ce95d701" }, "simulation_duration_ms": 0.0, "stochastic_time_steps": 0, "random_realization_tested": false, "common_seed_experiment": false, "interpretation": "Original poi adds 68.75 mV to voltage at 150 Hz with N=1 in the synapses slot and sets its target rfc to zero. This interface is not the common initial seed experiment.", "scope": "Compile-time interface audit only; no stochastic trial, learning, or whole-brain simulation. The optional exc2 helper branch is not exercised." }, "scope": "Compile-time interface audit; no Poisson realization." }, "author_oracle_checks": [ { "name": "author:pair:float64", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 7.105427357601002e-14, "mean_abs_mv": 8.832579112549865e-15, "same_event_prefix_max_abs_mv": 7.105427357601002e-14, "first_event_divergence_step": null, "tolerance_mv": 1e-08, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } }, { "name": "author:pair:float32", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 2.41696834564209e-05, "mean_abs_mv": 2.619914710521698e-06, "same_event_prefix_max_abs_mv": 2.41696834564209e-05, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } }, { "name": "author:trio:float64", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 8.526512829121202e-14, "mean_abs_mv": 8.113095380698118e-15, "same_event_prefix_max_abs_mv": 8.526512829121202e-14, "first_event_divergence_step": null, "tolerance_mv": 1e-08, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } }, { "name": "author:trio:float32", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 4.25875186920166e-05, "mean_abs_mv": 3.7165323893229165e-06, "same_event_prefix_max_abs_mv": 4.25875186920166e-05, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } }, { "name": "author:five:float64", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 3.836930773104541e-13, "mean_abs_mv": 3.28896643253529e-14, "same_event_prefix_max_abs_mv": 3.836930773104541e-13, "first_event_divergence_step": null, "tolerance_mv": 1e-08, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } }, { "name": "author:five:float32", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 0.0002123713493347168, "mean_abs_mv": 1.7726411819458007e-05, "same_event_prefix_max_abs_mv": 0.0002123713493347168, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } }, { "name": "author:feedforward:float64", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 3.765876499528531e-13, "mean_abs_mv": 3.893371799264915e-14, "same_event_prefix_max_abs_mv": 3.765876499528531e-13, "first_event_divergence_step": null, "tolerance_mv": 1e-08, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } }, { "name": "author:feedforward:float32", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 0.00020179152488708496, "mean_abs_mv": 1.9821550031807453e-05, "same_event_prefix_max_abs_mv": 0.00020179152488708496, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } }, { "name": "author:no_input:float64", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 7.105427357601002e-15, "mean_abs_mv": 3.552713678800501e-15, "same_event_prefix_max_abs_mv": 7.105427357601002e-15, "first_event_divergence_step": null, "tolerance_mv": 1e-08, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } }, { "name": "author:no_input:float32", "pass": true, "raw_comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 1.0728836059570312e-06, "mean_abs_mv": 5.364418029785156e-07, "same_event_prefix_max_abs_mv": 1.0728836059570312e-06, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true }, "repeat_exact": { "step": true, "neuron_idx": true, "counts": true, "v": true, "g": true, "ref": true, "history": true, "weights": true } } ], "precision_cross_checks": [ { "name": "precision_cross_record:pair", "pass": true, "comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 3.733467101341148e-05, "mean_abs_mv": 3.280381464815818e-06, "same_event_prefix_max_abs_mv": 3.733467101341148e-05, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true }, "interpretation": "Reporting consistency only; cross-precision divergence is allowed and retained." }, { "name": "precision_cross_record:trio", "pass": true, "comparison": { "exact_events": true, "exact_counts": true, "ref_exact": true, "max_abs_mv": 3.733467101341148e-05, "mean_abs_mv": 3.6417296913128893e-06, "same_event_prefix_max_abs_mv": 3.733467101341148e-05, "first_event_divergence_step": null, "tolerance_mv": 0.001, "pass_oracle": true }, "interpretation": "Reporting consistency only; cross-precision divergence is allowed and retained." }, { "name": "precision_cross_record:five", "pass": 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"conditioning_run": false, "learning_achieved": false, "candidate_generated": false, "selected_variant": null, "goal_remains_unachieved": true, "limits": [ "No whole-brain or learning experiment in this protocol.", "No activity-based variant selection; silence is not a success gate.", "Isolated motifs omit external network input and graded APL.", "Author equations on MaleCNS motifs do not reproduce the original paper's full brain or sensory interface.", "Linux host and Python patch differences prevent a binary-identical author-environment claim." ] }