The cerebral cortex is composed of a large number of neurons. More and more evidences indicate the information is coded via a population approach in cerebrum, and is associated with the spatio-temporal pattern of spiking of neurons. In this paper, we present a novel model that represents the collective activity of neurons with spatio-temporal evolution. We get a density evolution equation of neuronal populations in phase space, which utilize the single neuron dynamics (integrate-and-fire neuron model). Both in theory analysis and applications, our method shows more predominance than direct simulation the large populations of neurons via single neuron. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Huang, W., Jiao, L., Gong, M., & Guo, C. (2005). Modeling cortex network: A spatio-temporal population approach. In Lecture Notes in Computer Science (Vol. 3496, pp. 369–374). Springer Verlag. https://doi.org/10.1007/11427391_58
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