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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Chillemi, S., Barbi, M., Di Garbo, A. (2009). A Network of Coupled Pyramidal Neurons Behaves as a Coincidence Detector. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds) Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy. IWINAC 2009. Lecture Notes in Computer Science, vol 5601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02264-7_17
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DOI: https://doi.org/10.1007/978-3-642-02264-7_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02263-0
Online ISBN: 978-3-642-02264-7
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