- Computational Neuroscience
- NeuroAI
- Causality
- +۷ مورد دیگر
Professor Adeel Razi serves as Principal Investigator of the Computational Neuroscience Laboratory at Monash University's Turner Institute for Brain and Mental Health within the School of Psychological Sciences. He holds prestigious fellowships including ARC Future Fellow, NHMRC Investigator (Emerging Leadership), and CIFAR Azrieli Global Scholar in the Brain, Mind & Consciousness program. His research focuses on developing next-generation generative models of brain function through three integrated themes: 1) Creating multi-modal Bayesian methods (Dynamic Causal Modeling) to characterize brain network dynamics in pathologies; 2) Using biological neural network principles to inform artificial neural network design via active inference; 3) Employing classical psychedelics with computational modeling to understand consciousness mechanisms and therapeutic applications for psychiatric conditions. Razi's recent work includes the largest neuroimaging study of psilocybin to date, revealing how context structures psychedelic brain states, and novel Bayesian approaches for training binary and spiking neural networks. His research bridges engineering, physics, machine learning, and neurobiology to advance understanding of brain computation. ARC Future Fellow NHMRC Investigator (Emerging Leadership) CIFAR Azrieli Global Scholar, Brain, Mind & Consciousness program Professor Razi leads multiple clinical trials exploring psychedelic therapeutics and maintains active collaborations with Wellcome Leap on addiction research. His laboratory develops computational frameworks that integrate multimodal neuroimaging data to model brain network dynamics across various states of consciousness and pathological conditions. Current projects include psilocybin clinical trials for mental health conditions and developing neuroAI approaches based on active inference principles.
