An engineering blog for engineers working in Audiovisuals, Telecommunications, Electronics, ICT, Computer Engineering, Multimedia and Telematics.

13 November 2025 | Posted by angela.tuduri

Neuroengineering: when machines talk to the brain

An international breakthrough opens the door to bidirectional brain interfaces that are transforming medicine.

Science fiction is over: connecting the brain to machines is no longer a futuristic idea but a reality that is transforming medicine, rehabilitation, and the world of consumer technology.   

At La Salle Campus Barcelona, we are closely monitoring these developments to understand what this revolution means and how it affects the healthcare, technology, and professional sectors.  

What is neuroengineering and why does it matter?  

Neuroengineering integrates engineering, neuroscience, and technology to connect the nervous system with machines or electronic devices.   

Using sensors, electrodes, AI algorithms, and neural signal processing, it seeks to capture, interpret, and translate brain activity into useful actions: from restoring motor functions to expanding human capabilities.  

With all this, an international research group has achieved a milestone. They have created a brain-machine interface that not only sends signals to the brain, but also listens to and adapts the neural response. This achievement marks the beginning of a new era in which the mind and machines communicate more closely, with direct impacts on health, real-world technology, and ethical challenges.   

Mind Captioning - What has been achieved and why does it matter?  

The breakthrough consists of an implantable microelectrode system that enables two-way communication between the brain and the device.  

  • On the one hand, it stimulates areas of the brain to trigger previously inaccessible perceptions or functions.  

  • On the other hand, it measures the resulting brain activity to adjust the stimulation and optimize the outcome.  

This combination turns what was previously one-way (the machine receiving signals from the brain) into a true brain-machine dialogue. 

Why is this so important?   

Because it moves neuroengineering from an experimental environment to more realistic applications, such as rehabilitation, smart prosthetics, or even future consumer interfaces, opening up a range of possibilities that until now were almost science fiction.  

How does it work technically? 

Although the full technical details have not been disclosed, the essential parts of the system are: 

  • A set of microelectrodes implanted in a specific region of the brain (sensory or motor). 

  • Signal processing that converts external stimuli (visual, tactile, etc.) into electrical patterns that the brain can interpret.  

  • A feedback system that collects the brain's response and dynamically adjusts the stimulation. 

  • The “give → receive” circuit allows the user not only to receive action from the machine, but also to actively participate in the adaptation of the system. 

In short: the machine acts, the brain responds, the machine learns, the brain responds again. This loop is what makes the interface come alive.  

Industry context and global trends  

Neuroengineering and brain-computer interfaces (BCIs) are developing at a rapid pace: 

  • The BCI market already includes both invasive (brain implants) and non-invasive (EEG headsets, surface sensors) technologies, and projections indicate solid growth even over the next 10-20 years.  

  • Technical, ethical, and regulatory standards are beginning to take shape: international events address safety, application scenarios, and international cooperation in BCI.  

  • This type of development puts the world in a race to translate laboratories into real products or services: functional rehabilitation, digital health, cognitive user interfaces.  

For today's professionals, this means that education in applied neuroscience, sensor engineering, signal processing, and technological ethics is no longer optional: it is key. 

HEALTH ENGINEERING AT | LA SALLE-URL

GET TO KNOW MORE!

Share