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app.py

@@ -17,12 +17,15 @@ RESULTS = [
     {"Platform": "Catalyst N3", "Benchmark": "SHD", "Accuracy (%)": 91.0,
      "Neuron": "adLIF", "Params": "3.47M", "Type": "FPGA",
      "Source": "catalyst-benchmarks", "Year": 2026},
-    {"Platform": "Catalyst N2", "Benchmark": "SHD", "Accuracy (%)": 90.7,
-     "Neuron": "adLIF", "Params": "1.79M", "Type": "FPGA",
+    {"Platform": "Catalyst N2", "Benchmark": "SHD", "Accuracy (%)": 84.5,
+     "Neuron": "adLIF", "Params": "759K", "Type": "FPGA",
+     "Source": "catalyst-benchmarks", "Year": 2026},
+    {"Platform": "Catalyst N1", "Benchmark": "SHD", "Accuracy (%)": 90.6,
+     "Neuron": "LIF", "Params": "1.79M", "Type": "FPGA",
      "Source": "catalyst-benchmarks", "Year": 2026},
     {"Platform": "Intel Loihi 2", "Benchmark": "SHD", "Accuracy (%)": 90.9,
      "Neuron": "ALIF", "Params": "—", "Type": "ASIC",
-     "Source": "Bittar & Bhatt 2024", "Year": 2024},
+     "Source": "Mészáros et al. 2025", "Year": 2025},
     {"Platform": "Intel Loihi 1", "Benchmark": "SHD", "Accuracy (%)": 89.0,
      "Neuron": "ALIF", "Params": "—", "Type": "ASIC",
      "Source": "Cramer et al. 2022", "Year": 2022},
@@ -45,16 +48,19 @@ RESULTS = [
      "Source": "catalyst-benchmarks", "Year": 2026},
     {"Platform": "Intel Loihi 2", "Benchmark": "SSC", "Accuracy (%)": 69.8,
      "Neuron": "ALIF", "Params": "—", "Type": "ASIC",
-     "Source": "Bittar & Bhatt 2024", "Year": 2024},
+     "Source": "Mészáros et al. 2025", "Year": 2025},
     {"Platform": "Software (Bittar)", "Benchmark": "SSC", "Accuracy (%)": 74.2,
      "Neuron": "adLIF", "Params": "—", "Type": "GPU",
-     "Source": "Bittar & Bhatt 2024", "Year": 2024},
+     "Source": "Bittar & Garner 2022", "Year": 2022},
 
     # ── N-MNIST (Neuromorphic MNIST) ── 10 classes, 34x34 DVS
     {"Platform": "Catalyst N3", "Benchmark": "N-MNIST", "Accuracy (%)": 99.2,
      "Neuron": "LIF", "Params": "691K", "Type": "FPGA",
      "Source": "catalyst-benchmarks", "Year": 2026},
-    {"Platform": "Catalyst N2", "Benchmark": "N-MNIST", "Accuracy (%)": 99.2,
+    {"Platform": "Catalyst N2", "Benchmark": "N-MNIST", "Accuracy (%)": 97.8,
+     "Neuron": "adLIF", "Params": "466K", "Type": "FPGA",
+     "Source": "catalyst-benchmarks", "Year": 2026},
+    {"Platform": "Catalyst N1", "Benchmark": "N-MNIST", "Accuracy (%)": 99.2,
      "Neuron": "LIF", "Params": "466K", "Type": "FPGA",
      "Source": "catalyst-benchmarks", "Year": 2026},
     {"Platform": "Intel Loihi 1", "Benchmark": "N-MNIST", "Accuracy (%)": 99.5,
@@ -65,6 +71,9 @@ RESULTS = [
      "Source": "Shrestha & Orchard 2018", "Year": 2018},
 
     # ── GSC KWS (Google Speech Commands — Keyword Spotting) ── 12 classes
+    {"Platform": "Catalyst N3", "Benchmark": "GSC KWS", "Accuracy (%)": 88.0,
+     "Neuron": "adLIF", "Params": "291K", "Type": "FPGA",
+     "Source": "catalyst-benchmarks", "Year": 2026},
     {"Platform": "Catalyst N2", "Benchmark": "GSC KWS", "Accuracy (%)": 88.0,
      "Neuron": "adLIF", "Params": "291K", "Type": "FPGA",
      "Source": "catalyst-benchmarks", "Year": 2026},
@@ -75,7 +84,21 @@ RESULTS = [
      "Neuron": "LIF", "Params": "—", "Type": "ASIC",
      "Source": "Yan et al. 2024", "Year": 2024},
 
+    # ── GSC KWS — N1
+    {"Platform": "Catalyst N1", "Benchmark": "GSC KWS", "Accuracy (%)": 86.4,
+     "Neuron": "LIF", "Params": "291K", "Type": "FPGA",
+     "Source": "catalyst-benchmarks", "Year": 2026},
+
     # ── DVS128 Gesture ── 11 classes, 128x128 DVS
+    {"Platform": "Catalyst N3", "Benchmark": "DVS Gesture", "Accuracy (%)": 89.0,
+     "Neuron": "adLIF", "Params": "~1.2M", "Type": "FPGA",
+     "Source": "catalyst-benchmarks", "Year": 2026},
+    {"Platform": "Catalyst N2", "Benchmark": "DVS Gesture", "Accuracy (%)": 81.4,
+     "Neuron": "adLIF", "Params": "~1.2M", "Type": "FPGA",
+     "Source": "catalyst-benchmarks", "Year": 2026},
+    {"Platform": "Catalyst N1", "Benchmark": "DVS Gesture", "Accuracy (%)": 69.7,
+     "Neuron": "LIF", "Params": "~1.2M", "Type": "FPGA",
+     "Source": "catalyst-benchmarks", "Year": 2026},
     {"Platform": "BrainChip Akida 2", "Benchmark": "DVS Gesture", "Accuracy (%)": 97.1,
      "Neuron": "IF", "Params": "—", "Type": "ASIC",
      "Source": "BrainChip 2024", "Year": 2024},
@@ -130,7 +153,7 @@ def build_overview_df():
     # Pivot: rows=Platform, cols=Benchmark, values=Accuracy
     benchmarks_order = ["SHD", "SSC", "N-MNIST", "GSC KWS", "DVS Gesture"]
     platforms_order = [
-        "Catalyst N3", "Catalyst N2", "Intel Loihi 2", "Intel Loihi 1",
+        "Catalyst N3", "Catalyst N2", "Catalyst N1", "Intel Loihi 2", "Intel Loihi 1",
         "BrainChip Akida 2", "SpiNNaker 2",
         "Software (SRNN)", "Software (Bittar)",
         "Software (SuperSpike)", "Software (Cramer)",
@@ -173,7 +196,7 @@ def build_hardware_df():
 
     benchmarks_order = ["SHD", "SSC", "N-MNIST", "GSC KWS", "DVS Gesture"]
     platforms_order = [
-        "Catalyst N3", "Catalyst N2", "Intel Loihi 2", "Intel Loihi 1",
+        "Catalyst N3", "Catalyst N2", "Catalyst N1", "Intel Loihi 2", "Intel Loihi 1",
         "BrainChip Akida 2", "SpiNNaker 2",
     ]