Team

Farhad Razi

Farhad Razi

PhD Candidate

Things happen in this perplexing world and can be observed: conscious experience. What brings about conscious experience during wakefulness? There are compelling experimental evidence that neurons, the processing units of brain, during deep phases of sleep are as active as during wakefulness. Then, why does conscious experience fade away as we fall into deep phases of sleep?  Razi tries to understand and address the mechanism that allows the brain to form and dismiss conscious experience during sleep– waking cycle. This line of research can shed light on designing human–like artificial intelligence.

Razi holds a degree in Physics and a master in Theoretical physics from, respectively, University of Isfahan and Isfahan University of Technology, Iran. He has been working for one year at the Theoretical Neuroscience Group (ITNG) in Institute for Advanced Studies in Basic Sciences, Iran. He conducts his doctoral studies in Elisava and Center for Brain and Cognition (CBC) in Universitat Pompeu Fabra, focusing on the computational modeling of sleepwaking dynamics and its role in sensory processing across brain regions. His interests include consciousness, sensory processing, dynamical systems, and machine learning techniques.