NeuralSyncTester: A tool for research and teaching in neural synchronization of multilayer tree parity machine networks
Iván Jirón-Araya, Rodrigo Jiménez, Rafael Martínez-Peláez, Miguel A. Solís · SoftwareX · 2025
NeuralSyncTester is a tool for simulating and analyze the synchronization process of Multilayer Tree Parity Machine (MTPM) neural networks, applicable to research and education. It allows users to explore diverse scenarios, learning rules, and network architectures through simulations carried out in parallel execution sessions. NeuralSyncTester provides an intuitive platform for studying neural synchronization. Its modular architecture and friendly interfaces promote the simultaneous execution of different experiments. It features real-time visualization, dynamic progress tracking, and data analysis, including histograms and 3D graphs. It supports verifying studies on neural synchronization in MTPM as a lightweight and secure key exchange method for IoT systems.