threshold-jk-flipflop

JK flip-flop next-state logic as threshold circuit. Most versatile flip-flop with Set, Reset, Hold, and Toggle modes.

Circuit

J      ──┐
K      ──┼──► JK-FF ──┬──► Q
Q_prev ──┘           └──► Qn

Truth Table

J	K	Q_prev	Q	Qn	Mode
0	0	0	0	1	Hold
0	0	1	1	0	Hold
0	1	X	0	1	Reset
1	0	X	1	0	Set
1	1	0	1	0	Toggle
1	1	1	0	1	Toggle

Modes

J=0, K=0: Hold    - Q stays same
J=0, K=1: Reset   - Q becomes 0
J=1, K=0: Set     - Q becomes 1
J=1, K=1: Toggle  - Q flips

Logic

Q  = J·~Q_prev + ~K·Q_prev
Qn = ~J·~Q_prev + K·Q_prev

Architecture

Component	Neurons
Input inversions	4
AND gates	4
OR outputs	2
Passthroughs	2

Total: 12 neurons, 42 parameters, 3 layers

Advantage Over SR

Unlike SR flip-flop, JK has no invalid state. When both inputs are high, it toggles instead of producing undefined behavior.

Usage

from safetensors.torch import load_file

w = load_file('model.safetensors')

# Counter using toggle mode:
q = 0
for _ in range(4):
    q_next = compute(j=1, k=1, q_prev=q, w)
    q = q_next  # q toggles: 0,1,0,1,...

Files

threshold-jk-flipflop/
├── model.safetensors
├── create_safetensors.py
├── config.json
└── README.md

License

MIT