Two floating resistor circuits and their applications to synaptic weights in analog neural networks

In this paper, we propose two floating resistor circuits as synaptic weights for the implementation of analog neural networks. One among them has positive resistance and other has negative resistance. The floating resistor with positive resistance has a wider resistance range. In the same way, the proposed floating resistor with negative resistance is characterized by multiple negative resistance values. Both of these circuits are realized with the intention of using the same circuit for more than one number of synaptic weights. To check the compatibility of these circuits, the limit cycle generator, a type of analog neural network, is simulated with the proposed floating resistors as synaptic weights.