Building oscillator based computing systems with emerging nano-device technologies has become a promising solution for unconventional computing tasks like computer vision and pattern recognition. However, simulation a...
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ISBN:
(纸本)9781479987191
Building oscillator based computing systems with emerging nano-device technologies has become a promising solution for unconventional computing tasks like computer vision and pattern recognition. However, simulation and analysis of these systems is both time and compute intensive due to the nonlinearity of new devices and the complex behavior of coupled oscillators. In order to speed up the simulation of coupled oscillator systems, we propose a simplified phase model to perform phase and frequency synchronization prediction based on a synthesis of earlier models. Our model can predict the frequency locking behavior with several orders of magnitude speedup compared to direct evaluation, enabling the effective and efficient simulation of the large numbers of oscillators required for practical computing systems.
This paper presents a neuromechanical logic gate using Radio Frequency MEMS (RF MEMS) oscillators which are implemented as neurons of Hopfield network constituting an OR logic gate. Auto-correlative associative memory...
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ISBN:
(纸本)9781665412414
This paper presents a neuromechanical logic gate using Radio Frequency MEMS (RF MEMS) oscillators which are implemented as neurons of Hopfield network constituting an OR logic gate. Auto-correlative associative memory property being provided by phase-locked synchronized network of oscillators makes this logic operation possible. The proposed gate consists of 8 MEMS oscillators connected via electrical couplings and is capable of very high speed computation in case of utilizing high frequency MEMS resonators. This work can lay the groundwork for a new approach in analog computing systems based on mechanical oscillations.
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