I. Demutskaia (Yulia)

My expertise lies in computational modeling of cognitive processes, with a particular focus on understanding the principles underlying multisensory perception. I am especially interested in using recurrent neural networks (RNNs) to model and explain multisensory phenomena in the temporal domain. Additionally, I explore how diverse neural network architectures can bridge the gap between simplified experimental paradigms and the complex, naturalistic stimuli that fuel and drive cognition.

• Perception, Action and Decision-making
• Natural Computing & Neurotechnology

• Multisensory perception, learning and attention