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README.md

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+---
+license: mit
+tags:
+- pytorch
+- safetensors
+- threshold-logic
+- neuromorphic
+- sequential
+- counter
+---
+
+# threshold-ring-counter
+
+4-bit ring counter. One-hot encoding rotates through 4 states.
+
+## Sequence
+
+```
+0001 → 0010 → 0100 → 1000 → 0001 (4 states)
+```
+
+## Applications
+
+- State machine sequencing
+- Phase generation
+- Timing signals
+
+## Parameters
+
+| | |
+|---|---|
+| Inputs | 4 |
+| Outputs | 4 |
+| Neurons | 4 |
+| Parameters | 20 |
+| Magnitude | 8 |
+
+## License
+
+MIT

config.json

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+{
+  "name": "threshold-ring-counter",
+  "description": "4-bit ring counter next-state logic",
+  "inputs": 4,
+  "outputs": 4,
+  "neurons": 4,
+  "layers": 1,
+  "parameters": 20
+}

create_safetensors.py

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+import torch
+from safetensors.torch import save_file
+
+weights = {}
+
+# 4-bit Ring Counter (Next State Logic)
+# One-hot encoding that rotates: 0001 -> 0010 -> 0100 -> 1000 -> 0001
+# Input: Q[3:0] (current state, one-hot)
+# Output: N[3:0] (next state, shifted left with wrap)
+
+def add_neuron(name, w_list, bias):
+    weights[f'{name}.weight'] = torch.tensor([w_list], dtype=torch.float32)
+    weights[f'{name}.bias'] = torch.tensor([bias], dtype=torch.float32)
+
+# N0 = Q3 (wrap around)
+add_neuron('n0', [1.0, 0.0, 0.0, 0.0], -1.0)
+
+# N1 = Q0
+add_neuron('n1', [0.0, 0.0, 0.0, 1.0], -1.0)
+
+# N2 = Q1
+add_neuron('n2', [0.0, 0.0, 1.0, 0.0], -1.0)
+
+# N3 = Q2
+add_neuron('n3', [0.0, 1.0, 0.0, 0.0], -1.0)
+
+save_file(weights, 'model.safetensors')
+
+def ring_counter(q3, q2, q1, q0):
+    # Rotate left
+    return q2, q1, q0, q3
+
+print("Verifying 4-bit ring counter...")
+errors = 0
+states = [(0,0,0,1), (0,0,1,0), (0,1,0,0), (1,0,0,0)]
+for i, (q3, q2, q1, q0) in enumerate(states):
+    n3, n2, n1, n0 = ring_counter(q3, q2, q1, q0)
+    expected = states[(i + 1) % 4]
+    result = (n3, n2, n1, n0)
+    if result != expected:
+        errors += 1
+        print(f"ERROR: state {i} -> {result}, expected {expected}")
+
+if errors == 0:
+    print("All 4 test cases passed!")
+else:
+    print(f"FAILED: {errors} errors")
+
+mag = sum(t.abs().sum().item() for t in weights.values())
+print(f"Magnitude: {mag:.0f}")
+print(f"Parameters: {sum(t.numel() for t in weights.values())}")

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b0701e98972c7394d9689d735bd6842e9f8dbf741d8bc10d7b62db83e0be4590
+size 592