training snapshot (pointwise_cnn_harmonic_matched)

pointwise_cnn_harmonic_matched/README.md

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+# Tsinghua SSVEP — Equivalent CNN (pointwise_cnn, harmonic_matched)
+
+Auto-generated model card. Trained by `train_baseline_cnn.py`.
+
+## Architecture & Configuration
+- **Model Architecture**: `pointwise_cnn` (Pointwise / Temporal 1D CNN)
+- **Spike Encoder**: `harmonic_matched`
+- **Input Channels**: `2880`
+- **Classes**: `41`
+- **Total Parameters**: `1,617,746` (Exact 1:1 Match with SNN SpikingMLP)
+- **Hidden Layers**: `512,256`
+- **Dropout**: `0.3`
+- **T Timesteps / Bins**: `100`
+
+## Validation Accuracy
+- **Best Accuracy**: **`97.11%`**
+- **Epochs Completed**: `150` / `150`
+- **Learning Rate**: `0.002` with Cosine Annealing

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pointwise_cnn_harmonic_matched/final_summary.json

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