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.

A Network of coupled pyramidal neurons behaves as a coincidence detector

Chillemi S;Di Garbo A
2009

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
Istituto di Biofisica - IBF
Neural Networks
Pyramidal Neurons
Coincidence Detector
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/170399
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