The Quest for Computational Brain Modelling: From Cell Physiology to Integrated Signals in Health & Pathology
Member-Initiated Symposium
Monday, 17 May 2021
| Concurrent 8 |
12:00 - 12:30 |
Moderators: Xixi Yang |
Session Number: MIS-07
Parent Session: The Quest for Computational Brain Modelling: From Cell Physiology to Integrated Signals in Health & Pathology
Session Number:MIS-07
Organizers
Claudia Gandini Wheeler-Kingshott
Overview
Modelling local microcircuits as well as large scale network properties is essential to understand how the brain works. The complexity of the brain requires all different modelling strategies to deal with both the complexity of its physiology and biology as well as with the large data sets generated by current imaging techniques. Phenomenological approaches are advancing the field of understanding the meta-states of the brain and large-scale fMRI signals in health and disease. Cutting-edge reconstructions of the structural connectome are contributing enormously to our understanding of the structure-function relationship of the brain. Efforts to translate conceptual frameworks into platforms able to generate simulated single-subject brain-dynamics, based on single subject’s connectome rendering, are finding success, as clearly shown by The Virtual Brain (TVB) initiative. In this MIS, we intend to reveal the state of the art of this fascinating effort to project it into the next level of understanding brain dynamics, which requires integrating local microcircuits realistic neurocomputational models from cellular physiology into platforms such as TVB. Such effort requires a massive multi-disciplinary operation of “translating to translate” and is driving the next leap into brain modelling that will lead to explain cellular mechanisms of global network behaviours.
Target Audience
Scientists/clinicians interested in understanding/computing brain dynamics or working on structural and functional MRI data in health and disease.
Educational Objectives
As a result of attending this course, participants should be able to:
Upon completion of this course, participants should be able to: - Describe modelling strategies from micro- to macroscale signals; - Illustrate approaches for modelling brain dynamics; and - Explain how modelling brain function impacts disease understanding.
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Towards Unifying Models of Brain Architecture, Dynamics & Cognitive (Dys)function
Michael Breakspear
University of Newcastle
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The Virtual Brain to Explain the Normal & Diseased Brain
Viktor Jirsa
AIX-Marseille University
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Brain Computational Models: Integrating Micro- & Macro-Scale Phenomena
Egidio D'Angelo
University of Pavia
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