Model architecture for associative memory in a neural network of spiking neurons

► A network of spiking neurons with associative memory capability is proposed. ► Both chemical and electrical synapses were used to build the connections. ► Hebbian-like learning codifies stable trajectories in networks of spiking neurons. ► Different stimuli elicit distinct trajectories. ► A fixed point is reached when the activation time is large enough.