add run default

applied/opt01_ttfs_dta/default.summary.json

@@ -0,0 +1,244 @@
+{
+  "key": "opt01_ttfs_dta/default",
+  "tag": "default",
+  "script": "opt01_ttfs_dta.py",
+  "script_sha256_16": "7655b86c97888299",
+  "hf_folder": "applied/opt01_ttfs_dta",
+  "priority": 0,
+  "note": "default: TTFS + DTA on, dta-target-rate=0.05",
+  "phase": 1,
+  "n_phases": 10,
+  "method": "harmonic_matched",
+  "command": [
+    "/usr/bin/python3",
+    "-m",
+    "torch.distributed.run",
+    "--standalone",
+    "--nproc_per_node=2",
+    "/kaggle/working/scripts/opt01_ttfs_dta.py",
+    "--method",
+    "harmonic_matched",
+    "--data-root",
+    "/kaggle/working/data",
+    "--epochs",
+    "60",
+    "--seed",
+    "1234",
+    "--batch-size",
+    "64",
+    "--event-eval",
+    "--no-resume",
+    "--decision-margin",
+    "2.0",
+    "--hub-dir",
+    "/kaggle/working/hub/opt01_ttfs_dta/default",
+    "--keep-epoch-weights",
+    "1",
+    "--resplit",
+    "block",
+    "--drop-rest",
+    "--bench"
+  ],
+  "flags": [],
+  "epochs_requested": 60,
+  "gpus": 2,
+  "relative_epoch_cost": 1.0,
+  "exit_code": 0,
+  "status": "ok",
+  "duration_s": 306.3,
+  "started_utc": "2026-08-23T02:56:34.503040+00:00",
+  "finished_utc": "2026-08-23T03:01:40.794382+00:00",
+  "optimization_summary": {
+    "optimization": "ttfs_dta",
+    "research_section": "2. Temporal-Dimension Reduction (TTFS coding / DTA-TTFS)",
+    "reference": "Software-Level Optimizations for Spiking Neural Network Inference on ARM Architectures: A Deep-Dive into the Jetson Nano Ecosystem (research.md SS2)",
+    "script": "opt01_ttfs_dta.py",
+    "baseline_mode": false,
+    "method": "harmonic_matched",
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+    "optimization_specific": {
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+      "dta": true,
+      "readout": "ttfs",
+      "ttfs_halt_k": 1,
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+          "frac_neurons_that_ever_fire": 0.47708565848214285,
+          "mean_first_spike_tick": 31.723123035309598
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+        {
+          "layer": 2,
+          "neurons": 256,
+          "spikes_per_neuron_per_inference": 0.45130301339285717,
+          "frac_neurons_that_ever_fire": 0.45130301339285717,
+          "mean_first_spike_tick": 42.55322200720879
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+        {
+          "layer": 3,
+          "neurons": 40,
+          "spikes_per_neuron_per_inference": 0.9979464285714286,
+          "frac_neurons_that_ever_fire": 0.9979464285714286,
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+      "dta_thr_mean": 10.0,
+      "base_thresh": 10.0
+    },
+    "config": {
+      "method": "harmonic_matched",
+      "data_root": "/kaggle/working/data",
+      "subjects": "",
+      "blocks": "",
+      "limit": 0,
+      "drop_rest": true,
+      "resplit": "block",
+      "test_blocks": "6",
+      "class_weight": false,
+      "epochs": 60,
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+      "window_sec": 5.0,
+      "hidden": "512,256",
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+      "dropout": 0.3,
+      "spike_drop": 0.1,
+      "time_jitter": 2,
+      "label_smoothing": 0.05,
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+      "binary_input": false,
+      "beta": 1.0,
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+      "window": 0.5,
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+      "fake_quant": 0,
+      "amp": false,
+      "spike_reg": 0.0,
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+      "export": false,
+      "seed": 1234,
+      "hub_dir": "/kaggle/working/hub/opt01_ttfs_dta/default",
+      "repo_id": "UWU-R-13/SSVEP-SNN",
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+      "no_resume": true,
+      "selftest": false,
+      "baseline": false,
+      "bench": true,
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+      "bench_iters": 50,
+      "bench_train_steps": 20,
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+      "dta_min": 0.2,
+      "dta_max": 5.0,
+      "dta_windup_patience": 200,
+      "sampling_rate": 250.0
+    }
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+    "epochs": 60,
+    "method": "harmonic_matched",
+    "n_in": 2880,
+    "n_classes": 40,
+    "num_bins": 100
+  },
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+      "0.75": 0.11,
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+    "dense_forward_test_acc": 0.10785714285714286
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+  "extra_sweep_file_present": false,
+  "selftest": {
+    "mode": "gate",
+    "passed": true
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+  "driver_version": 1,
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