Bariscan Bozkurt, an M.S. student of Electrical-Electronics Engineering and a fellow of KUIS AI Center, and Alper T. Erdogan, Professor of Electrical-Electronics Engineering at KUIS AI Center, in collaboration with their co-authors Ates Isfendiyaroglu from UAA and Cengiz Pehlevan from Harvard University, recently presented their work titled ‘Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation’ at ICLR 2023, a high-tier AI conference. They proposed a novel, biologically-plausible neural network framework that leverages the principles of information theory to model potential methods of sensory stimuli processing in our brains.

We congratulate Prof.Alper Erdoğan for his work and wish him continued success.