Engineers at the University of Liège have taken a major step forward in the architecture of artificial neural networks by creating a new type of spiking neuron. Called the Spiking Recurrent Cell (SRC), this innovative model combines the simplicity of implementation with the ability to reproduce the dynamics of biological neurons. Add to this the energy efficiency of spiking neurons, and this new model offers exciting new prospects for neuro-inspired artificial intelligence. The work is published in the journal Neuromorphic Computing and Engineering.Engineers at the University of Liège have taken a major step forward in the architecture of artificial neural networks by creating a new type of spiking neuron. Called the Spiking Recurrent Cell (SRC), this innovative model combines the simplicity of implementation with the ability to reproduce the dynamics of biological neurons. Add to this the energy efficiency of spiking neurons, and this new model offers exciting new prospects for neuro-inspired artificial intelligence. The work is published in the journal Neuromorphic Computing and Engineering.Machine learning & AI[#item_full_content]