MushroomBody_Othello v1

README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- othello
+- reversi
+- spiking-neural-network
+- connectome
+- drosophila
+- rsnn
+---
+
+# MushroomBody_Othello v1
+
+Synaptic weights for the Othello game of **[BeatTheFly](https://phclab.github.io/BeatTheFly/othello/)** -- *A Smart Fruit Fly is playing Othello against you*:
+a spiking network wired as the real *Drosophila* mushroom-body connectome that plays Othello.
+
+**The anatomical connectome gives you wiring, not synaptic strengths. Ours are trained.**
+
+Synaptic weights trained with PHCSSM parallel-scan mode, deployment in sequential RSNN mode ([PHCSSM](https://arxiv.org/abs/2604.01295)).
+
+made by Po-Han Chiang @ NYCU
+
+## Architecture
+* **Wiring:** MaleCNS v1.0 mushroom body -- 4,510 neurons (4,064 Kenyon cells, 97 MBONs,
+  340 DANs, 2 APL, 2 DPM, 5 MB-C1) and 1,027,152 neuron-to-neuron connections. The
+  connectivity mask is fixed to the connectome; 763,700 connections carry a nonzero weight and
+  0 weights lie off the connectome.
+* **Dale's law:** one sign per presynaptic neuron from neurotransmitter annotations (excitatory
+  4,114, inhibitory 52, modulatory 344); 0 weights violate it.
+* **Inputs:** each ply provides the move token (one of 68 tokens: the 64 squares, pass, and start,
+  end and padding markers) and the board after it (138 binary features: the discs of the side to
+  move, the opponent's discs, which side is to move, and a disc-count bucket). Two linear encoders with their
+  own LayerNorm drive the Kenyon cells; the move token also drives the dopaminergic neurons.
+* **Rules:** a pass is a move only when the side to move has no legal square; the network takes one timestep
+  per move, forced passes included.
+* **Neurons:** leaky integrate-and-fire with per-neuron leak, threshold and reset; synaptic delay of one step.
+* **Fast weight:** dopamine-gated associative memory on the Kenyon-cell -> MBON synapses, read back into
+  the MBON voltages.
+* **Readout:** linear map from the membrane voltage of all neurons to the move vocabulary.
+* **Deployment:** sequential RSNN mode, one timestep per ply, with the neuron state and fast weight
+  carried across the whole game.
+
+## Data sources
+Data source: [Egaroucid Free Training Data](https://www.egaroucid.nyanyan.dev/en/technology/train-data/) (Takuto Yamana).
+
+## Evaluation
+Agreement with the engine's move on 10,570 held-out Egaroucid games (legal moves only): 50.1% overall (moves 1–15 43.4%, 16–30 38.6%, 31–45 39.6%, 46+ 61.2%).
+
+**Strength:** Beats simple greedy and corner-heuristic bots about 80–86% of the time; scores about one third against the Edax engine at level 1 (32–1–67 in 100 games). Matches: 100 games per opponent, colours swapped; the fly uses no search, one network timestep per move.
+
+## Files
+* `manifest.json` -- every tensor (file, dtype, shape, bytes), the model scalars, the token map
+  (`scalars.tokens`: pad 0, start 1, end 2, pass 3, square `a1` = 4 ... `h8` = 67,
+  row-major from `a1`) and a connectome audit.
+* `info.json` -- neuron metadata used by the page (cell classes, hemispheres, soma coordinates).
+* `selfcheck_<precision>.json` -- reference moves and logits that the page replays when it loads.
+* `fp16/`, `fp32/` -- raw little-endian arrays.
+
+Two precisions are listed in the manifest: `fp16w32` (default, 7.6 MB: float16 for the
+four large dense matrices, float32 for the recurrent weights and all small tensors) and
+`fp16` (6.1 MB, recurrent weights in float16 as well).
+
+The recurrent weight matrix W[dst, src] is stored in CSC order by source neuron (`W_colptr`,
+`W_rowidx`, `W_vals`): each step multiplies W by a sparse binary spike vector, so the engine visits only
+the columns of the neurons that spiked. Dense matrices are stored in the orientation they are read:
+`enc_tok_T` [vocab, H] (a move token selects one row), `enc_brd_T` [138, H] (sum of the active rows),
+`dec_w` [vocab, H] and `v2d_T` [vocab, n_dan].
+
+| name | file | dtype | shape |
+|---|---|---|---|
+| `enc_tok_T` | `fp16/enc_tok_T.bin` | float16 | 68x4510 |
+| `enc_tok_b` | `fp32/enc_tok_b.bin` | float32 | 4510 |
+| `ln_tok_w` | `fp32/ln_tok_w.bin` | float32 | 4510 |
+| `ln_tok_b` | `fp32/ln_tok_b.bin` | float32 | 4510 |
+| `enc_brd_T` | `fp16/enc_brd_T.bin` | float16 | 138x4510 |
+| `enc_brd_b` | `fp32/enc_brd_b.bin` | float32 | 4510 |
+| `ln_brd_w` | `fp32/ln_brd_w.bin` | float32 | 4510 |
+| `ln_brd_b` | `fp32/ln_brd_b.bin` | float32 | 4510 |
+| `v2d_T` | `fp16/v2d_T.bin` | float16 | 68x340 |
+| `v2d_b` | `fp32/v2d_b.bin` | float32 | 340 |
+| `dec_w` | `fp16/dec_w.bin` | float16 | 68x4510 |
+| `dec_b` | `fp32/dec_b.bin` | float32 | 68 |
+| `Wg` | `fp32/Wg.bin` | float32 | 97x340 |
+| `W_dan_val` | `fp32/W_dan_val.bin` | float32 | 97x340 |
+| `alpha_exc` | `fp32/alpha_exc.bin` | float32 | 4510 |
+| `alpha_inh` | `fp32/alpha_inh.bin` | float32 | 4510 |
+| `v_th` | `fp32/v_th.bin` | float32 | 4510 |
+| `reset_weight` | `fp32/reset_weight.bin` | float32 | 4510 |
+| `kc_idx` | `fp32/kc_idx.bin` | int32 | 4064 |
+| `mbon_idx` | `fp32/mbon_idx.bin` | int32 | 97 |
+| `dan_idx` | `fp32/dan_idx.bin` | int32 | 340 |
+| `W_colptr` | `fp32/W_colptr.bin` | uint32 | 4511 |
+| `W_rowidx` | `fp32/W_rowidx.bin` | uint16 | 763700 |
+| `W_vals` | `fp32/W_vals.bin` | float32 | 763700 |
+
+**Numerical check:** legal top-1 1948/1949 vs the fp32 reference (32 fly-vs-fly reference games); 0 of 8,934,310 spike bits differ from the reference on the same weights.
+
+## Limitations
+There is no search and no evaluation function: each move is a single timestep of the network,
+restricted to the legal squares.
+
+## License and attribution
+Weights: [CC-BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/). They are derived from the MaleCNS v1.0 connectome (Janelia FlyEM and
+collaborators, https://male-cns.janelia.org/, [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)) and trained with PHCSSM (https://arxiv.org/abs/2604.01295);
+please credit both. Training data: Egaroucid Free Training Data by Takuto Yamana (https://www.egaroucid.nyanyan.dev/en/technology/train-data/).
+
+## Citation
+PHCSSM: https://arxiv.org/abs/2604.01295

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manifest.json

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+ "model": "MushroomBody_Othello",
+ "version": "v1",
+ "label": "MushroomBody_Othello v1",
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+  "vocab": 68,
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+  "use_board": 1.0,
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+   "pass": 3,
+   "sq0": 4
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+     4510
+    ],
+    "bytes": 18040
+   },
+   "kc_idx": {
+    "file": "fp32/kc_idx.bin",
+    "dtype": "int32",
+    "shape": [
+     4064
+    ],
+    "bytes": 16256
+   },
+   "mbon_idx": {
+    "file": "fp32/mbon_idx.bin",
+    "dtype": "int32",
+    "shape": [
+     97
+    ],
+    "bytes": 388
+   },
+   "dan_idx": {
+    "file": "fp32/dan_idx.bin",
+    "dtype": "int32",
+    "shape": [
+     340
+    ],
+    "bytes": 1360
+   },
+   "W_colptr": {
+    "file": "fp32/W_colptr.bin",
+    "dtype": "uint32",
+    "shape": [
+     4511
+    ],
+    "bytes": 18044
+   },
+   "W_rowidx": {
+    "file": "fp32/W_rowidx.bin",
+    "dtype": "uint16",
+    "shape": [
+     763700
+    ],
+    "bytes": 1527400
+   },
+   "W_vals": {
+    "file": "fp16/W_vals.bin",
+    "dtype": "float16",
+    "shape": [
+     763700
+    ],
+    "bytes": 1527400
+   }
+  }
+ },
+ "connectome_audit": {
+  "connections": 1027152,
+  "nonzero_weights": 763700,
+  "off_connectome": 0,
+  "wrong_sign": 0,
+  "excitatory": 4114,
+  "inhibitory": 52,
+  "modulatory": 344
+ },
+ "validation": {
+  "fp16w32": "legal top-1 1948/1949 vs the fp32 reference (32 fly-vs-fly reference games); 0 of 8,934,310 spike bits differ from the reference on the same weights",
+  "fp16": "legal top-1 1948/1949 vs the fp32 reference (32 fly-vs-fly reference games); 0 of 8,934,310 spike bits differ from the reference on the same weights"
+ }
+}

selfcheck_fp16.json

@@ -0,0 +1 @@
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selfcheck_fp16w32.json

@@ -0,0 +1 @@
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