SUMMARY
The forum discussion centers on the search for a hardware-based variable resistor that adjusts based on an up/down signal and retains its state during power loss, specifically for use in analog neural networks. Participants suggest that traditional resistors cannot achieve this without additional circuitry and recommend exploring digital potentiometers, particularly the Texas Instruments TPL0102, which features power-off memory. The conversation also touches on the potential of memristors and operational transconductance amplifiers (OTAs) for this application, though they are not readily available or practical for the user's needs.
PREREQUISITES
- Understanding of analog electronics and circuit design
- Familiarity with digital potentiometers and their interfaces (SPI, I2C)
- Knowledge of operational transconductance amplifiers (OTAs)
- Basic concepts of neural networks and their analog implementations
NEXT STEPS
- Research digital potentiometers, focusing on the Texas Instruments TPL0102
- Explore memristor technology and its current availability
- Investigate operational transconductance amplifiers (OTAs) and their applications
- Study analog neural network designs and their advantages over digital systems
USEFUL FOR
Electronics engineers, hobbyists designing analog circuits, and researchers interested in the development of analog neural networks.