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README.md

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+---
+license: mit
+tags:
+- pytorch
+- safetensors
+- threshold-logic
+- neuromorphic
+- sequential
+- shift-register
+---
+
+# threshold-sipo
+
+4-bit Serial-In Parallel-Out shift register. Serial to parallel converter.
+
+## Circuit
+
+```
+        ┌────┬────┬────┐
+SI ──► [Q3]─[Q2]─[Q1]─[Q0]
+        │    │    │    │
+        ▼    ▼    ▼    ▼
+       P3   P2   P1   P0
+```
+
+## Parameters
+
+| | |
+|---|---|
+| Inputs | 5 |
+| Outputs | 4 |
+| Neurons | 4 |
+| Parameters | 24 |
+| Magnitude | 8 |
+
+## License
+
+MIT

config.json

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+{
+  "name": "threshold-sipo",
+  "description": "4-bit SIPO shift register",
+  "inputs": 5,
+  "outputs": 4,
+  "neurons": 4,
+  "layers": 1,
+  "parameters": 24
+}

create_safetensors.py

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+import torch
+from safetensors.torch import save_file
+
+weights = {}
+
+# 4-bit SIPO (Serial In, Parallel Out) Shift Register
+# Input: Q[3:0] (current state), SI (serial input)
+# Output: N[3:0] (next state = parallel output)
+
+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)
+
+# N3 = SI
+add_neuron('n3', [0.0, 0.0, 0.0, 0.0, 1.0], -1.0)
+
+# N2 = Q3
+add_neuron('n2', [1.0, 0.0, 0.0, 0.0, 0.0], -1.0)
+
+# N1 = Q2
+add_neuron('n1', [0.0, 1.0, 0.0, 0.0, 0.0], -1.0)
+
+# N0 = Q1
+add_neuron('n0', [0.0, 0.0, 1.0, 0.0, 0.0], -1.0)
+
+save_file(weights, 'model.safetensors')
+
+def sipo(q3, q2, q1, q0, si):
+    return si, q3, q2, q1
+
+print("Verifying 4-bit SIPO shift register...")
+errors = 0
+for q in range(16):
+    for si in [0, 1]:
+        q3, q2, q1, q0 = (q>>3)&1, (q>>2)&1, (q>>1)&1, q&1
+        n3, n2, n1, n0 = sipo(q3, q2, q1, q0, si)
+        expected = (si << 3) | (q >> 1)
+        result = n3*8 + n2*4 + n1*2 + n0
+        if result != expected:
+            errors += 1
+
+if errors == 0:
+    print("All 32 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 sha256:2fef5572fca8d366bd587ef75d2d31456f224a84eeff8bbadb5bdbad3ea3ed6b
+size 608