A research paper by Dr Rakesh Sengupta, Assistant Professor, Psychology, SIAS titled Synchronization in Hybrid Feedforward-Recurrent Neural Networks with Stochastic Temporal Modulation, has been published in the proceedings of the 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT). In this work, the researchers aim to bridge the gap between theoretical mathematics and practical neural network implementation. The study presents a comprehensive investigation into how hybrid feedforward-recurrent networks maintain stability and synchronization, even under stochastic modulation.
This research offers a deeper look into the temporal processing mechanisms that drive both artificial and biological neural systems.
