Abstract
The transmission of excitatory inputs by a network of coupled pyramidal cells is investigated by means of numerical simulations. The pyramidal cells models are coupled by excitatory synapses and each one receives an excitatory pulse at a random time extracted from a Gaussian distribution. Moreover, each cell model is injected with a noisy current. It was found that the excitatory coupling promotes the transmission of the the synaptic inputs on a time scale of a few msec. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Chillemi, S., Barbi, M., & Di Garbo, A. (2009). A network of coupled pyramidal neurons behaves as a coincidence detector. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5601 LNCS, pp. 155–163). https://doi.org/10.1007/978-3-642-02264-7_17
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