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Updated: Jun 25, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions
Dmitrii S Pashin1, Marina V Bastrakova1,2, Dmitrii A Rybin1
1Faculty of Physics, Lobachevsky State University of Nizhni Novgorod, 603022 Nizhny Novgorod, Russia.
Abstract:
In this article, we consider designs of simple analog artificial neural networks based on adiabatic Josephson cells with a sigmoid activation function. A new approach based on the gradient descent method is developed to adjust the circuit parameters, allowing efficient signal transmission between the network layers. The proposed solution is demonstrated on the example of a system that implements XOR and OR logical operations.
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