The development of Brain Computer Interfaces (BCIs) provides a way for the brain to interface directly with external devices. In recent years, BCIs could translate signals generated by brain activity into control signals without the involvement of peripheral nerves and muscles to restore lost sensorimotors function, for example caused by spinal cord injury or neurodegeneration. For this purpose, the barrier to the adoption of the invasive BCIs is getting lower thanks to progress in neuroscience field, to smaller and more performing electrode arrays and to advances in AI field. The combination of these elements is reflected in the B-Cratos project, a closed-loop neural interface that exploits the intra-cranial EEG and advanced Deep Learning algorithms to reach fine control of a prosthetic arm that, at the same time, stimulates sensory feedback response in the patient brain.