Abstract
The adult human brain has around 1011 neurons and 1015 connections between these neurons, thus forming an incredibly complex network. In this article, we first describe two complementary approaches to modelling brain function, namely simplifying and realistic models. We then demonstrate, by way of two examples, the utility of building simplifying neural models. In the first example, we consider the development of neuronal positioning. In the second example, we investigate the stability of a cortical network under control and perturbed conditions.
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Kronhaus, D.M., Eglen, S.J. (2008). The Role of Simplifying Models in Neuroscience: Modelling Structure and Function. In: Liò, P., Yoneki, E., Crowcroft, J., Verma, D.C. (eds) Bio-Inspired Computing and Communication. BIOWIRE 2007. Lecture Notes in Computer Science, vol 5151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92191-2_4
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DOI: https://doi.org/10.1007/978-3-540-92191-2_4
Publisher Name: Springer, Berlin, Heidelberg
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