phase: 4G names: reference: MaleCNS-LIF-reference-v1 runtime: MaleCNS-LIF-runtime-v1 io_api: MaleCNS-BrainIO-v1 activity_stream: MaleCNS-ActivityStream-v1 interface: MaleCNS-FrozenInterface-v1 candidate: MaleCNS-FrozenInterface-v1-candidate paths: connectome_root: /data/digital-drosophila/datasets/male-cns-v1.0/processed/neuron-only model_root: /data/digital-drosophila/models/male-cns-lif reference_root: /data/digital-drosophila/models/male-cns-lif/reference-v1 runtime_root: /data/digital-drosophila/models/male-cns-lif/runtime-v1 io_root: /data/digital-drosophila/models/male-cns-lif/io-v1 phase4c_root: /data/digital-drosophila/experiments/phase4c-runtime phase4d_root: /data/digital-drosophila/experiments/phase4d-io phase4e_root: /data/digital-drosophila/experiments/phase4e-visual-calibration phase4f_root: /data/digital-drosophila/experiments/phase4f-retinotopic-vision phase4f_model_root: /data/digital-drosophila/models/male-cns-lif/visual-encoder-v1 interface_root: /data/digital-drosophila/models/male-cns-lif/frozen-interface-v1 learned_root: /data/digital-drosophila/models/learned/phase4g experiment_root: /data/digital-drosophila/experiments/phase4g-frozen-interface device: required_name_substring: RTX 4090 launcher_visible_gpu_uuid: GPU-79f3a85d-adce-7833-7003-6488140ca596 model: dt_ms: 0.1 membrane_tau_ms: 20.0 synaptic_tau_ms: 5.0 refractory_ms: 2.2 resting_potential_mv: -52.0 reset_potential_mv: -52.0 threshold_mv: -45.0 synaptic_delay_ms: 1.8 w_syn_mv_per_anatomical_synapse: 0.275 sign_policy: neurotransmitter_sign: {acetylcholine: 1, gaba: -1, glutamate: -1, dopamine: 1, octopamine: 1, serotonin: 1, histamine: -1} unknown_sign: 0 unclear_sign: 0 dataset: patterns: [left-spot, right-spot, upper-spot, lower-spot, left-to-right, right-to-left, up-to-down, down-to-up, looming, sparse-moving-object, static-object, full-field] train_stimulus_seeds: [47001, 47002, 47003, 47004, 47005] evaluation_stimulus_seeds: [47101, 47102, 47103] biological_windows_ms: [10, 20, 30, 50, 100] temporal_segments: 5 targets_per_segment: 460 poisson_rate_hz: 50.0 external_drive_mv: 8.8 tasks: left-right: {patterns: [left-spot, right-spot], labels: [0, 1], classes: 2} up-down: {patterns: [upper-spot, lower-spot], labels: [0, 1], classes: 2} moving-static: {patterns: [sparse-moving-object, static-object], labels: [0, 1], classes: 2} looming-translation: {patterns: [looming, left-to-right], labels: [0, 1], classes: 2} spatial-4way: {patterns: [left-spot, right-spot, upper-spot, lower-spot], labels: [0, 1, 2, 3], classes: 4} motion-4way: {patterns: [left-to-right, right-to-left, up-to-down, down-to-up], labels: [0, 1, 2, 3], classes: 4} training: model_seeds: [47201, 47202, 47203, 47204, 47205] evaluation_seeds: [47101, 47102, 47103] epochs: 120 learning_rate: 0.02 capacities: Tiny: {feature_bins: 32, decoder: linear, encoder_parameters: 2} Small: {feature_bins: 128, decoder: mlp, hidden: 16, encoder_parameters: 24} abstract_actions: 4 controls: graph_seed: 47300 graphs: [real-malecns, shuffled-edges, degree-preserving, brain-bypass] shuffled_definition: independent uniform target per existing CSR edge slot; source degrees and edge count preserved degree_preserving_definition: global permutation of original target array; exact source out-degree and target in-degree preserved robustness: task: spatial-4way conditions: [input-noise, event-dropout, neuron-dropout, adapter-noise, partial-occlusion, temporal-jitter] perturbation_fraction: 0.15 readout: bins_ms: [1, 5, 10, 20, 50] regression: float_absolute_tolerance: 0.00390625 reference_trials: - {name: auditory-10hz, population: auditory, rate_hz: 10, seed: 42001, duration_ms: 1000.0} - {name: auditory-100hz, population: auditory, rate_hz: 100, seed: 42001, duration_ms: 1000.0} - {name: olfactory-50hz, population: olfactory, rate_hz: 50, seed: 42003, duration_ms: 1000.0} - {name: mechanosensory-50hz, population: mechanosensory, rate_hz: 50, seed: 42003, duration_ms: 1000.0} - {name: gustatory-50hz, population: gustatory, rate_hz: 50, seed: 42003, duration_ms: 1000.0} success_gate: stable_accuracy_margin_over_chance: 0.10 successful_model_seed_majority: 3 require_descending_or_motor_information: true require_control_difference: true bypass_too_easy_accuracy: 0.95 prohibitions: brain_backpropagation: false connectome_changes: false transmitter_sign_changes: false brain_gain_changes: false internal_weight_changes: false lif_parameter_changes: false game_rom: false stable_retro: false reinforcement_learning: false dopamine_stdp: false web_server: false three_d_frontend: false