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Real-time reconfigurable linear threshold elements implemented in floating-gate CMOS
1Dept. of Comput. and Inf. Sci., Norwegian Univ. of Sci. and Technol., Trondheim, Norway.
IEEE Transactions on Neural Networks
|February 5, 2008
Summary
Researchers developed new UV-programmable floating-gate (FGUVMOS) linear threshold elements for ultra-low-power applications. This design simplifies large-scale integration and offers potential as a neural network building block.
Area of Science:
- Microelectronic Engineering
- Solid-State Circuits
- Low-Power Electronics
Background:
- Traditional digital circuits face limitations in power consumption and reconfigurability.
- Floating-gate technology offers non-volatile memory and programmability advantages.
- Developing efficient linear threshold elements is crucial for advanced computing architectures.
Purpose of the Study:
- To introduce a new class of real-time reconfigurable UV-programmable floating-gate (FGUVMOS) linear threshold elements.
- To propose a novel design methodology for creating larger and more efficient FGUVMOS circuitry.
- To explore the potential of these elements as fundamental building blocks for neural networks.
Main Methods:
- Theoretical analysis and computer simulations.
- Laboratory measurements on fabricated integrated circuits.
- Development of a design method utilizing basic two-MOSFET circuits extensively.
Main Results:
- Demonstrated FGUVMOS linear threshold elements operating in the pA to μA current range.
- Achieved ultra-low-power operation with supply voltages as low as 93 mV.
- Successfully implemented basic digital functions (CARRY, NOR, NAND, INVERT) using 2-MOSFET circuits.
Conclusions:
- The proposed FGUVMOS elements offer significant ultra-low-power potential.
- The new design method facilitates the creation of larger, more compact, and easily testable FGUVMOS circuitry.
- These elements are promising candidates for building blocks in neural network applications.
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