 We study neuronal synchronisation by means of a randomly network with excitatory and inhibitory synapses, where the neuron model is given by the adaptive exponential integrate-and-fire . In our network , we verify that the decrease in the influence of inhibition can generate synchronisation  from a pattern of desynchronised spikes.
<clarity>  We study neuronal synchronisation by means of a randomly network with excitatory and inhibitory synapses, where the neuron model is given by the adaptive exponential integrate-and-fire . In our network , we verify that the decrease in the influence of inhibition can generate synchronisation  from a pattern of desynchronised spikes.
 We study neuronal synchronisation by means of a randomly network with excitatory and inhibitory synapses, where the neuron model is given by the adaptive exponential integrate-and-fire model. In this framework , we verify that the decrease in the influence of inhibition can generate synchronisation from a pattern of desynchronised spikes.