Project Hub /Security Surveillance & Defense/Intrusion Detection Systems/Tri Flop A 30-Year-Old Circuit (Ternary)
Tri Flop A 30-Year-Old Circuit (Ternary)
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ANALOG / DISCRETE
Project Specific
3 – 6 Hours
Partial Kit

Tri Flop A 30-Year-Old Circuit (Ternary)

A 30-year-old DTL guitar amplifier switching circuit repurposed as a ternary memory cell for storing neural network weights with no clock or refresh required.

Originally published on Hackaday.io
View original tutorial
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Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

This list includes a generic resistor set as a placeholder — it is not matched to the exact value or part number this circuit needs. The correct one is specified on the original source page linked above; check it before buying.

We don't carry yet: Transistors (BC547 / 2N2222 / TIP / MOSFET)
Diodes (1N4007 / 1N4148 / Schottky / Zener)

Browse all components

How It Works

Why Build This

Explore non-binary computing paradigms by implementing a hardware-level ternary memory cell for neural network weight storage.
Analyze legacy Diode-Transistor Logic (DTL) behavior and adapt analog discrete switching topologies for modern processing concepts.
Design and troubleshoot multi-state latching circuits using discrete transistors, diodes, and resistors without relying on microcontrollers.

Real-World Application

Guitar amplifier channel switching and hardware-accelerated ternary neural network weight storage.

Skills You'll Learn

Discrete logic design
transistor biasing and switching analysis
analog circuit troubleshooting
multi-state memory cell configuration
diode-transistor logic (DTL) evaluation

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

DTL
TRANSISTORS
DIODES
ANALOG ELECTRONICS
TERNARY LOGIC
NEURAL NETWORKS
MEMORY CELLS
DISCRETE LOGIC

Frequently Asked Questions

A binary memory cell stores data in two states (0 and 1), whereas a ternary memory cell utilizes three distinct states, which can significantly increase data density and efficiency in specialized applications like neural network weight storage.
No, this is a purely hardware-based analog and discrete circuit. It operates entirely through physical component configurations, biasing resistors, and transistor switching without software or firmware.
Unlike dynamic memory that stores data as transient charges on capacitors, this static discrete circuit maintains its states continuously through steady-state DC biasing from the B+ power supply.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.
PRJ-01612