A network of coupled pyramidal neurons behaves as a coincidence detector
Authors: Santi Chillemi, Michele Barbi, and Angelo Di Garbo
Journal: Lecture Notes in Computer Science
Pgine: pp 155-163
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.
