Adeel Razi
Scholar

Adeel Razi

Google Scholar ID: VG3onZwAAAAJ
Monash University, Ausralia
Computational NeuroscienceBrain ConnectivityNeuroAIActive InferenceMachine Learning
Citations & Impact
All-time
Citations
9,035
 
H-index
44
 
i10-index
93
 
Publications
20
 
Co-authors
186
list available
Resume (English only)
Research Experience
  • Professor & Principal Investigator, Computational Neuroscience Laboratory, ARC Future Fellow, NHMRC Investigator (Emerging Leadership), CIFAR Azrieli Global Scholar, Brain, Mind & Consciousness program, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University.
Background
  • My research vision is to develop next-generation generative models of how brain functions through a multidisciplinary approach combining engineering, physics, and machine-learning approaches that are motivated by questions grounded in neurobiology. We will achieve this vision through three integrated research themes: developing multi-modal (e.g., functional MRI, diffusion MRI, EEG) and multi-scale Bayesian methods – i.e., dynamic causal modelling (DCM) – to characterise brain network dynamics and their reorganisation with different brain pathologies; exploiting the understanding of biological neural networks to inform the design of novel artificial neural networks using the framework of active inference; and using classical psychedelics (e.g. LSD and Psilocybin) in combination with computational modelling to understand neural mechanisms underlying altered states of consciousness and explore therapeutic benefits for treating psychiatric diseases like depression and anxiety.
Miscellany
  • Contact details: Room 116, 770 Blackburn Road, Clayton 3800, Australia. E-mail: adeel.razi[@]monash[DOT]edu. Also active on Google Scholar, Researchgate, LinkedIn, Bluesky, and Twitter.