Multi-scale modelling of identified neural microcircuits
Category: Current
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In our lab we are developing experimental techniques to fully map and interact with entire networks of cultured neurons at the cellular and sub-cellular level. These networks display complex dynamical behaviours that are thought to be the basis computation in the brain. Data from these networks provide an unprecedented opportunity for building and testing computational models of neural networks. Initially, models will be highly detailed using detailed morphology and electrophysiology to mimic the biological network in silico. Biological systems contain enormous numbers of complex nonlinear interactions but it is not known which of these are necessary for the tissue to perform its biological function and which there for other purposes (eg metabolic, development). A major aim of the this project is to explore simplified models that are able to capture the behaviour of the real network. The first part of the project requires significant programming to build data import tools and for interaction with the simulation environment. The second part requires application of multi-scale modelling techniques and mathematical analysis to guide reduction of the initial models.
