Fix Loihi parity claims

README.md

@@ -22,7 +22,7 @@ For full-scale hardware-accurate simulations, use the [Catalyst Cloud API](https
 
 ## Features
 
-- **Processor comparison** — N1 (Loihi 1 parity) vs N2 (Loihi 2 parity) side-by-side
+- **Processor comparison** — N1 and N2 side-by-side
 - **Hardware constraint validation** — check if your network fits on the target processor
 - **Live LIF simulation** — configure neurons, connections, and topology
 - **Spike raster visualisation** — see firing patterns across populations

app.py

@@ -20,7 +20,6 @@ PROCESSORS = {
         "graded_spike_bits": 8,
         "learning_opcodes": 14,
         "max_axon_delay": 63,
-        "parity": "Intel Loihi 1",
         "neuron_models": ["LIF"],
         "features": [
             "Dendritic compartments (4 per neuron)",
@@ -39,7 +38,6 @@ PROCESSORS = {
         "graded_spike_bits": 8,
         "learning_opcodes": 14,
         "max_axon_delay": 63,
-        "parity": "Intel Loihi 2",
         "neuron_models": ["LIF", "CUBA", "ALIF", "Izhikevich", "Custom"],
         "features": [
             "Programmable neuron models (microcode engine)",
@@ -326,7 +324,6 @@ def get_processor_info(processor):
     """Return markdown specs for selected processor."""
     spec = PROCESSORS[processor]
     md = f"## Catalyst {processor}\n\n"
-    md += f"**Parity**: {spec['parity']}\n\n"
     md += f"| Spec | Value |\n|------|-------|\n"
     md += f"| Cores | {spec['cores']} |\n"
     md += f"| Neurons/core | {spec['neurons_per_core']:,} |\n"
@@ -370,7 +367,6 @@ Configure networks, validate hardware constraints, and run simulations — all i
 
 | | **N1** | **N2** |
 |---|---|---|
-| **Parity** | Intel Loihi 1 | Intel Loihi 2 |
 | **Cores** | 128 | 128 |
 | **Neurons/core** | 1,024 | 1,024 |
 | **Total neurons** | 131,072 | 131,072 |
@@ -381,7 +377,7 @@ Configure networks, validate hardware constraints, and run simulations — all i
 | **Max axon delay** | 63 timesteps | 63 timesteps |
 | **Key advance** | Foundation | Programmable neuron microcode engine |
 
-The **N1** is a complete neuromorphic processor with full Loihi 1 parity — 128 cores, on-chip learning, dendritic computation.
+The **N1** is a complete 128-core neuromorphic processor with on-chip STDP learning, dendritic compartments, graded spikes, and programmable axonal delays — a Loihi-class feature set.
 
 The **N2** adds a **programmable microcode engine** for custom neuron models. Instead of hardwired LIF, you can program arbitrary neuron dynamics — CUBA, ALIF, Izhikevich, or anything you design.