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SYNAPSE Data Card

Dataset & Environment Specifications

1.5 Landmark Biological Drosophila Connectome Datasets

The architecture supports real-time multi-connectome grafting across eight landmark community datasets:

  1. MaleCNS v1.0: HHMI Janelia FlyEM / Cambridge / MRC LMB / Google Research (2026-06-08, CC-BY-4.0, 269 projects). Whole CNS (brain + VNC).
  2. BANC (Brain And Nerve Cord): Harvard Medical School (Lee & Wilson labs) / Princeton (Murthy lab) / Harvard (Drugowitsch lab) (2026, CC-BY-4.0, 22 projects).
  3. FlyEM Optic Lobe Connectome: HHMI Janelia FlyEM / Google Connectomics (2024, CC-BY-4.0, 5 projects). Retinotopic visual columns.
  4. FANC (Female Adult Nerve Cord): Harvard Medical School (Wei-Chung Allen Lee lab) (2024, unknown, 3 projects).
  5. FlyWire (FAFB v783): Princeton University (Murthy & Seung labs) with FlyWire consortium (2024, CC-BY-NC-4.0, 180 projects). Whole adult female brain (139,255 neurons).
  6. MANC (Male Adult Nerve Cord): HHMI Janelia FlyEM / Cambridge / Google Research (2023-06, CC-BY-4.0, 17 projects).
  7. Larval Drosophila Brain Connectome: University of Cambridge (Michael Winding et al.) (2023-03, CC-BY-4.0, 7 projects). Complete insect larva (3,016 neurons).
  8. Hemibrain: HHMI Janelia Research Campus (FlyEM Project Team) (2020-01-22, CC-BY-4.0, 23 projects). Central brain hemisphere.

1. Embodied Simulation Worlds

SYNAPSE supports both the 9 native GraftBrain simulation tasks and 4 advanced frontier environments implemented in ComplexWorld:

Native Tasks

  1. forage: Locate and consume food targets while avoiding boundary hazards and managing energy decay.
  2. maze: Multi-corridor navigation requiring working memory and wall avoidance.
  3. push: Manipulate external objects into designated target zones.
  4. grasp_place: Position arm endpoint, engage grip, and transport objects.
  5. peg_insert: High-precision 3D alignment and insertion task.
  6. delayed_match: Encode color/spatial cue, navigate through an occlusion delay, and select matching resource.
  7. go_nogo: Discriminative action selection conditioned on cue frequency/polarity.
  8. button_sequence: Sequential activation of multi-state targets in ordered permutations.
  9. webcam_chase: Track an orb that can be driven by webcam motion in the upstream environment.

Frontier Complex Ecology Tasks (ComplexWorld)

  1. ecosystem: Comprehensive virtual biosphere combining autonomous moving predator drones, variable terrain friction patches (ice, mud, sand), food targets, dynamic gates, and day/night illumination cycles.
  2. predator_evasion: High-threat evasion arena where the agent must out-maneuver pursuit drones, conserve stamina, and utilize terrain friction to escape predation.
  3. dynamic_arena: Multi-room navigational maze featuring harmonic oscillating gates and variable friction surfaces testing spatial mapping under traction variations.
  4. puzzle_chamber: Multi-stage logic environment where the agent must press interactive floor triggers/buttons to open pressure-locked security gates protecting high-yield food caches.

Deep Research 9-Arm Connectome Control Topologies (synapse.connectome_controls)

  1. bio: True biological Janelia Drosophila male-CNS subcircuit with signed Dale synapses.
  2. degree_rewired: Maslov-Sneppen degree-preserving directed rewiring.
  3. sign_rewired: Sign-preserving rewiring testing Dale's law constraints.
  4. community_rewired: 4-cluster modular community-preserving rewiring.
  5. random_sparse: Erdős-Rényi random sparse graph with identical edge count and density.
  6. learned_sparse: Learned sparse weight matrix with equal compute/parameter budget.
  7. unsigned: Real graph with neurotransmitter signs removed.
  8. local_only: Real graph with long-range edges pruned.
  9. brain_cord_motif: Local sensory-motor loops with central supervisory hub (2026 brain-cord abstraction).

Deep Research Machine-Verifiable Preference Corpus (synapse.preference_dpo)

  • Automatic first-party preference pairs $(x, y_w, y_l)$ generated from machine-checkable outcomes:
    • Safety: Surviving vs. fatal trajectory actions.
    • Return: High-return vs. low-return planner rollouts.
    • Calibration: Well-calibrated vs. overconfident forecasts.
    • Code/Patch: Invariant test-passing vs. failing patch proposals.

SAIL Verifiable Curriculum & ReLIFT Tasks (synapse.verified_curriculum)

  1. verifiable_relift: Procedurally generated sequential challenge stages with strictly verifiable intermediate subgoals:
    • CUE_DISCOVERED: Visual recognition and approach toward target color cues.
    • GATE_TRIGGERED: Exact physical manipulation of spatial floor switches/buttons.
    • BARRIER_PASSED: Safe traversal through dynamic barrier passages without collision.
    • TARGET_REACHED: Successful goal acquisition and consumption.
    • Each transition and subgoal verification is cryptographically anchored by a SHA-256 execution receipt.

SAIL 4-Arm Continual Learning Milestone (synapse.flagship_benchmark)

  • Standardized sequential curriculum evaluating catastrophic forgetting: $$\text{Task}_1 (\text{forage}) \rightarrow \text{Task}_2 (\text{delayed_match}) \rightarrow \text{Task}_3 (\text{push}) \rightarrow \text{Task}_4 (\text{ecosystem})$$
  • Evaluates four comparative arms:
    1. fixed_gradient: Standard Adam backpropagation baseline (prone to catastrophic forgetting).
    2. dynamic_plasticity: Structural neurogenesis + Hebbian weight plasticity.
    3. continual_sleep: Trainable student-teacher sleep consolidation.
    4. full_developmental_sail: Full integration (Continual Backprop + Fast Memory + Sleep + MPC Planning).

2. Dynamic Physics & Ecological Mechanics

  • Autonomous Predator Drones: Drones execute continuous pursuit vectors toward the agent at speed $v_{\text{predator}} = 0.04$, generating a continuous distance-dependent threat field: $$\text{Threat}(d) = \max\left(0, 1 - \frac{d}{R_{\text{hazard}}}\right)$$
  • Terrain Friction Zones: Continuous rectangular patches modifying effective friction and stamina expenditure:
    • Ice: Low friction ($0.1\times$), high slip, low stamina cost.
    • Mud: High friction ($2.5\times$), low slip, high stamina cost.
    • Sand: Moderate resistance ($1.8\times$).
  • Dynamic & Puzzle Gates:
    • Harmonic Oscillating Gates: Cycle between open (passable) and closed (solid barrier) states on fixed periodic intervals.
    • Button-Locked Gates: Remain solid barriers until the agent depresses an associated trigger button in the environment.
  • Diurnal Ambient Illumination Cycle: Sine-wave ambient lighting modulating visual rangefinder rays and sensory contrast: $$I_{\text{ambient}}(t) = 0.5 + 0.4 \cos\left(\frac{2\pi t}{T_{\text{day}}}\right)$$

3. Observation Structure (155 continuous float32 values)

  • [0:33]: Ray depth sensor (33 visual rangefinder rays across 120° FOV), modulated by ambient light and ray occlusion.
  • [33:66]: Red channel visual contrast.
  • [66:99]: Green channel visual contrast.
  • [99:132]: Blue channel visual contrast.
  • [132:136]: Normalized arm reach, arm height, grip, and whether an object is held.
  • [136:140]: Normalized forward/angular velocity, sine and cosine of body heading.
  • [140:149]: One-hot native/frontier task identifier.
  • [149:153]: Environmental associative cues for Mushroom Body olfactory memory.
  • [153]: Previous observed reward.
  • [154]: Current time divided by episode horizon.

4. Connectome Topologies

  • FlyWire Profile: Synthetic model of central Drosophila brain neuropils with 25% inhibitory GABAergic/glutamatergic fractions.
  • MANC Profile: Ventral nerve cord motor and ascending/descending interneuron clusters.
  • Optic Lobe Profile: Visual projection columns with retinotopic receptive fields.
  • Janelia Male CNS v1.0 (Optional External Data): Full male fly CNS connectome (11,751 cell types, 3,830,931 type-to-type edges, CC BY 4.0), loaded from malecns_types.npz.

5. RSI Benchmarks & Task Partitions

  • Synthetic feature evaluation splits:
    • Development families 0-1: Initial policy search and hyperparameter calibration.
    • Validation families 2-3: Intermediate meta-selection and mutation screening.
    • Sealed families 4-5: Strictly isolated query tasks evaluated post-adaptation with external writer disabled.