Abstract
Large Hodgkin-Huxley (HH) neural networks were examined and the structures discussed in this article simulated a part of the rat somatosensory cortex. We used a modular architecture of the network divided into layers and sub-regions. Because of a high degree of complexity effective parallelisation of algorithms was required. The results of parallel simulations were presented. An occurrence of the self-organised criticality (SOC) was demonstrated. Most notably, in large biological neural networks consisting of artificial HH neurons, the SOC was shown to manifest itself in the frequency of its appearance as a function of the size of spike potential avalanches generated within such nets. These two parameters followed the power law characteristic of other systems exhibiting the SOC behaviour.
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© 2007 Springer-Verlag Berlin Heidelberg
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Wojcik, G.M., Kaminski, W.A., Matejanka, P. (2007). Self-organised Criticality in a Model of the Rat Somatosensory Cortex. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2007. Lecture Notes in Computer Science, vol 4671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73940-1_46
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DOI: https://doi.org/10.1007/978-3-540-73940-1_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73939-5
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