Large Scalable Simulations of Mammalian Visual Cortex

Large artificial neural networks are examined. Structures discussed in this article simulate the cortex of mammalian visual system and its dynamics. Simulations of thousands of Hodgkin-Huxley neurons always require high computational power. Discussion of such networks parallelisation is presented in some detail. Analysis of simulation time, algorithm’s speedup as a function of processors’ number and density of connections is discussed as well.