Computational Neuroscience: researching new models to better understand the brain
How does the brain work, exactly?
The human brain is perhaps the most complex structure in the universe. To understand the principles that drive brain connectivity organisation, mathematical models are developed to capture the key mechanisms that shape neural structure and functions.
Computational Neuroscience is an interdisciplinary field that harnesses concepts and methods from neuroscience, computer science, physics, and applied maths to investigate the function and mechanism of the nervous system. Recent advances in Computational Neurosciences have made great strides in our ability to model large-scale, whole-brain dynamics.
Associate Professor Alex Fornito’s team at the Brain and Mental Health Lab (BMH) in the Monash Institute of Cognitive and Clinical Neurosciences (MICCN), is using these models to understand the physiological basis of brain imaging signals measured in humans, the microscale mechanisms underlying dysfunction in brain disorders, and ways of developing optimal treatments to improve brain function in these conditions. Working collaboratively with Professor Gustavo Deco, a pioneer of Computational Neuroscience who recently joined MICCN, the team will work on developing new models to generate insights into how the brain develops in health, deteriorates in disease, and how brain function can be modified to improve wellbeing.
Be part of the BMH team
Associate Professor Fornito is currently seeking a talented, dynamic post-doctoral researcher to join the BMH Lab at MICCN. The appointee will conduct scientific research developing and applying biophysical models of large-scale brain dynamics, particularly neural mass models and neural field models.
Find out more about this exciting opportunity on the Monash website.
For further information on Computational Neuroscience at MICCN, contact Associate Professor Alex Fornito on t: 03 9902 9796, e: Alex.Fornito@monash.edu.
Associate Professor Alex Fornito